Version: main

NFL — PFF Premium Stats (premium.pff.com)

sportsdataverse.nfl — 46 endpoints.

`pff_facet_run_defense_summary`

Facet report /defense/run (By Position leaderboard; add franchiseId for By Team, gameId for By Game)

Endpoint URL: GET https://premium.pff.com/api/v1/facet/defense/run

Valid URL: https://premium.pff.com/api/v1/facet/defense/run

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Week or week-group key (e.g. 'REG', a week number, or a range).
`franchiseId`	`franchise_id`	`Y`	PFF franchise (team) id; filters a report 'By Team'.
`gameId`	`game_id`	`Y`	PFF game id; filters a report 'By Game'.
`division`	`division`	`Y`	Division filter (NCAA).

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
`assists`	numeric	Total assists.
`avg_depth_of_tackle`	numeric
`declined_penalties`	numeric
`draft_season`	numeric
`eligible_season`	numeric
`forced_fumbles`	numeric
`franchise_id`	numeric	ESPN franchise identifier.
`grades_coverage_defense`	numeric
`grades_defense`	numeric
`grades_defense_penalty`	numeric
`grades_pass_rush_defense`	numeric
`grades_run_defense`	numeric
`grades_tackle`	numeric
`jersey_number`	character	Jersey number. Often useful for joins by name/team/jersey.
`missed_tackle_rate`	numeric
`missed_tackles`	numeric
`penalties`	numeric	Total number of penalties.
`player`	character	Player name
`player_game_count`	numeric
`player_id`	numeric	Player ID (aka GSIS ID) as defined by nflreadr::load_rosters
`position`	character	Primary position as reported by NFL.com
`run_stop_opp`	numeric
`snap_counts_run`	numeric
`stop_percent`	numeric
`stops`	numeric
`tackles`	numeric	Team tackles.
`team`	character	NFL team. Uses official abbreviations as per NFL.com
`team_name`	character	Full team display name (e.g. 'Las Vegas Aces').

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

pff_facet_run_defense_summary()

Last validated n/a.

`pff_facet_field_goal_summary`

Facet report /field_goal/summary (By Position leaderboard; add franchiseId for By Team, gameId for By Game)

Endpoint URL: GET https://premium.pff.com/api/v1/facet/field_goal/summary

Valid URL: https://premium.pff.com/api/v1/facet/field_goal/summary

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Week or week-group key (e.g. 'REG', a week number, or a range).
`franchiseId`	`franchise_id`	`Y`	PFF franchise (team) id; filters a report 'By Team'.
`gameId`	`game_id`	`Y`	PFF game id; filters a report 'By Game'.
`division`	`division`	`Y`	Division filter (NCAA).

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
`twenty_attempts`	numeric
`pat_percent`	numeric
`draft_season`	numeric
`forty_made`	numeric
`team_name`	character	Full team display name (e.g. 'Las Vegas Aces').
`fifty_percent`	numeric
`total_made`	numeric
`jersey_number`	character	Jersey number. Often useful for joins by name/team/jersey.
`one_made`	numeric
`fifty_attempts`	numeric
`forty_attempts`	numeric
`player_game_count`	numeric
`eligible_season`	numeric
`thirty_percent`	numeric
`total_attempts`	numeric
`pat_attempts`	numeric
`twenty_made`	numeric
`one_attempts`	numeric
`grades_fgep_kicker`	numeric
`thirty_attempts`	numeric
`penalties`	numeric	Total number of penalties.
`pat_made`	numeric
`team`	character	NFL team. Uses official abbreviations as per NFL.com
`declined_penalties`	numeric
`one_percent`	numeric
`total_percent`	numeric
`position`	character	Primary position as reported by NFL.com
`twenty_percent`	numeric
`forty_percent`	numeric
`player`	character	Player name
`franchise_id`	numeric	ESPN franchise identifier.
`fifty_made`	numeric
`thirty_made`	numeric
`player_id`	numeric	Player ID (aka GSIS ID) as defined by nflreadr::load_rosters

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

pff_facet_field_goal_summary()

Last validated n/a.

`pff_facet_coverage_summary`

Facet report /defense/coverage (By Position leaderboard; add franchiseId for By Team, gameId for By Game)

Endpoint URL: GET https://premium.pff.com/api/v1/facet/defense/coverage

Valid URL: https://premium.pff.com/api/v1/facet/defense/coverage

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Week or week-group key (e.g. 'REG', a week number, or a range).
`franchiseId`	`franchise_id`	`Y`	PFF franchise (team) id; filters a report 'By Team'.
`gameId`	`game_id`	`Y`	PFF game id; filters a report 'By Game'.
`division`	`division`	`Y`	Division filter (NCAA).

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
`targets`	numeric	The number of pass plays where the player was the targeted receiver.
`yards_per_coverage_snap`	numeric
`draft_season`	numeric
`missed_tackles`	numeric
`catch_rate`	numeric
`team_name`	character	Full team display name (e.g. 'Las Vegas Aces').
`tackles`	numeric	Team tackles.
`coverage_percent`	numeric
`jersey_number`	character	Jersey number. Often useful for joins by name/team/jersey.
`dropped_ints`	numeric
`player_game_count`	numeric
`eligible_season`	numeric
`grades_tackle`	numeric
`yards`	numeric	The number of receiving yards
`receptions`	numeric	The number of pass receptions. Lateral receptions officially don't count as reception.
`forced_incompletion_rate`	numeric
`grades_coverage_defense`	numeric
`interceptions`	numeric	The number of interceptions thrown.
`snap_counts_coverage`	numeric
`grades_run_defense`	numeric
`snap_counts_pass_play`	numeric
`penalties`	numeric	Total number of penalties.
`forced_incompletes`	numeric
`team`	character	NFL team. Uses official abbreviations as per NFL.com
`coverage_snaps_per_target`	numeric
`stops`	numeric
`declined_penalties`	numeric
`position`	character	Primary position as reported by NFL.com
`longest`	numeric
`missed_tackle_rate`	numeric
`grades_defense`	numeric
`yards_per_reception`	numeric
`grades_defense_penalty`	numeric
`player`	character	Player name
`franchise_id`	numeric	ESPN franchise identifier.
`yards_after_catch`	numeric	Numeric value for distance in yards perpendicular to the yard line where the receiver made the reception to where the play ended.
`avg_depth_of_target`	numeric
`pass_break_ups`	numeric
`qb_rating_against`	numeric
`coverage_snaps_per_reception`	numeric
`assists`	numeric	Total assists.
`grades_pass_rush_defense`	numeric
`player_id`	numeric	Player ID (aka GSIS ID) as defined by nflreadr::load_rosters
`touchdowns`	numeric

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

pff_facet_coverage_summary()

Last validated n/a.

`pff_facet_kicking_summary`

Facet report /kickoff/summary (By Position leaderboard; add franchiseId for By Team, gameId for By Game)

Endpoint URL: GET https://premium.pff.com/api/v1/facet/kickoff/summary

Valid URL: https://premium.pff.com/api/v1/facet/kickoff/summary

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Week or week-group key (e.g. 'REG', a week number, or a range).
`franchiseId`	`franchise_id`	`Y`	PFF franchise (team) id; filters a report 'By Team'.
`gameId`	`game_id`	`Y`	PFF game id; filters a report 'By Game'.
`division`	`division`	`Y`	Division filter (NCAA).

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
`attempts`	numeric	The number of pass attempts as defined by the NFL.
`attempts_with_hangtime`	numeric
`average_distance`	numeric
`average_hangtime`	numeric
`average_starting_field_position`	numeric
`average_yards_per_return`	numeric
`declined_penalties`	numeric
`draft_season`	numeric
`eligible_season`	numeric
`fair_catches`	numeric
`franchise_id`	numeric	ESPN franchise identifier.
`grades_kickoff_kicker`	numeric
`jersey_number`	character	Jersey number. Often useful for joins by name/team/jersey.
`kicked_yards`	numeric
`kicks_returned`	numeric
`onside_kicks`	numeric
`penalties`	numeric	Total number of penalties.
`percent_returned`	numeric
`player`	character	Player name
`player_game_count`	numeric
`player_id`	numeric	Player ID (aka GSIS ID) as defined by nflreadr::load_rosters
`position`	character	Primary position as reported by NFL.com
`return_yards`	numeric	Yards gained by the return team. Returns may occur on any of: interception, fumble, kickoff, punt, or blocked kicks.
`team`	character	NFL team. Uses official abbreviations as per NFL.com
`team_name`	character	Full team display name (e.g. 'Las Vegas Aces').
`total_hangtime`	numeric
`touchbacks`	numeric

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

pff_facet_kicking_summary()

Last validated n/a.

`pff_facet_blocking_summary`

Facet report /offense/blocking (By Position leaderboard; add franchiseId for By Team, gameId for By Game)

Endpoint URL: GET https://premium.pff.com/api/v1/facet/offense/blocking

Valid URL: https://premium.pff.com/api/v1/facet/offense/blocking

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Week or week-group key (e.g. 'REG', a week number, or a range).
`franchiseId`	`franchise_id`	`Y`	PFF franchise (team) id; filters a report 'By Team'.
`gameId`	`game_id`	`Y`	PFF game id; filters a report 'By Game'.
`division`	`division`	`Y`	Division filter (NCAA).

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
`grades_pass_block`	numeric
`grades_offense`	numeric
`pbe`	numeric
`non_spike_pass_block_percentage`	numeric
`draft_season`	numeric
`snap_counts_rg`	numeric
`team_name`	character	Full team display name (e.g. 'Las Vegas Aces').
`jersey_number`	character	Jersey number. Often useful for joins by name/team/jersey.
`snap_counts_ce`	numeric
`hits_allowed`	numeric
`block_percent`	numeric
`snap_counts_offense`	numeric
`player_game_count`	numeric
`eligible_season`	numeric
`snap_counts_block`	numeric
`hurries_allowed`	numeric
`grades_run_block`	numeric
`snap_counts_run_block`	numeric
`pressures_allowed`	numeric
`snap_counts_pass_play`	numeric
`penalties`	numeric	Total number of penalties.
`sacks_allowed`	numeric	Opponent sacks.
`team`	character	NFL team. Uses official abbreviations as per NFL.com
`declined_penalties`	numeric
`snap_counts_te`	numeric
`snap_counts_rt`	numeric
`position`	character	Primary position as reported by NFL.com
`non_spike_pass_block`	numeric
`snap_counts_lt`	numeric
`player`	character	Player name
`franchise_id`	numeric	ESPN franchise identifier.
`snap_counts_pass_block`	numeric
`pass_block_percent`	numeric
`snap_counts_lg`	numeric
`player_id`	numeric	Player ID (aka GSIS ID) as defined by nflreadr::load_rosters

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

pff_facet_blocking_summary()

Last validated n/a.

`pff_facet_defense_summary`

Facet report /defense/summary (By Position leaderboard; add franchiseId for By Team, gameId for By Game)

Endpoint URL: GET https://premium.pff.com/api/v1/facet/defense/summary

Valid URL: https://premium.pff.com/api/v1/facet/defense/summary

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Week or week-group key (e.g. 'REG', a week number, or a range).
`franchiseId`	`franchise_id`	`Y`	PFF franchise (team) id; filters a report 'By Team'.
`gameId`	`game_id`	`Y`	PFF game id; filters a report 'By Game'.
`division`	`division`	`Y`	Division filter (NCAA).

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
`targets`	numeric	The number of pass plays where the player was the targeted receiver.
`interception_touchdowns`	numeric	Touchdowns scored on interception returns.
`draft_season`	numeric
`forced_fumbles`	numeric	Forced fumbles.
`missed_tackles`	numeric
`catch_rate`	numeric
`team_name`	character	Team abbreviation the player is credited to for the range.
`tackles`	numeric	Total tackles made by the defender.
`jersey_number`	character	Jersey number (string; zero-padded, e.g. "09").
`snap_counts_offball`	numeric
`snap_counts_box`	numeric
`sacks`	numeric	Sacks credited.
`snap_counts_pass_rush`	numeric
`player_game_count`	numeric	Games with at least one qualifying snap in the requested range.
`eligible_season`	numeric
`snap_counts_dl`	numeric
`grades_tackle`	numeric
`yards`	numeric	The number of receiving yards
`receptions`	numeric	The number of pass receptions. Lateral receptions officially don't count as reception.
`grades_coverage_defense`	numeric	PFF coverage grade (0-100).
`hurries`	numeric
`interceptions`	numeric	Interceptions made in coverage.
`snap_counts_coverage`	numeric
`snap_counts_dl_over_t`	numeric
`snap_counts_dl_a_gap`	numeric
`fumble_recoveries`	numeric
`grades_run_defense`	numeric	PFF run-defense grade (0-100).
`snap_counts_corner`	numeric
`hits`	numeric	Hits.
`penalties`	numeric	Total number of penalties.
`batted_passes`	numeric
`team`	character	NFL team. Uses official abbreviations as per NFL.com
`stops`	numeric	Tackles that constitute an offensive failure ("stops").
`declined_penalties`	numeric
`total_pressures`	numeric	Total quarterback pressures (sacks + hits + hurries).
`position`	character	Primary position as reported by NFL.com
`fumble_recovery_touchdowns`	numeric
`longest`	numeric
`snap_counts_slot`	numeric
`missed_tackle_rate`	numeric
`grades_defense`	numeric	PFF overall defense grade (0-100).
`yards_per_reception`	numeric
`grades_defense_penalty`	numeric
`safeties`	numeric
`player`	character	Player name
`franchise_id`	numeric	PFF franchise (team) id (integer join key).
`snap_counts_defense`	numeric
`yards_after_catch`	numeric	Numeric value for distance in yards perpendicular to the yard line where the receiver made the reception to where the play ended.
`snap_counts_dl_b_gap`	numeric
`pass_break_ups`	numeric
`qb_rating_against`	numeric
`snap_counts_run_defense`	numeric
`tackles_for_loss`	numeric	Team tackles for a loss.
`assists`	numeric	Assisted tackles.
`grades_pass_rush_defense`	numeric
`player_id`	numeric	PFF player id (integer; matches the /players id and every player_id join key).
`snap_counts_fs`	numeric
`touchdowns`	numeric
`snap_counts_dl_outside_t`	numeric

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

pff_facet_defense_summary()

Last validated n/a.

`pff_facet_offense_summary`

Facet report /offense/summary (By Position leaderboard; add franchiseId for By Team, gameId for By Game)

Endpoint URL: GET https://premium.pff.com/api/v1/facet/offense/summary

Valid URL: https://premium.pff.com/api/v1/facet/offense/summary

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Week or week-group key (e.g. 'REG', a week number, or a range).
`franchiseId`	`franchise_id`	`Y`	PFF franchise (team) id; filters a report 'By Team'.
`gameId`	`game_id`	`Y`	PFF game id; filters a report 'By Game'.
`division`	`division`	`Y`	Division filter (NCAA).

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
`declined_penalties`	numeric
`draft_season`	numeric
`eligible_season`	numeric
`franchise_id`	numeric	PFF franchise (team) id (integer join key).
`grades_hands_fumble`	numeric
`grades_offense`	numeric	PFF overall offense grade (0-100).
`grades_offense_penalty`	numeric
`grades_pass`	numeric	PFF passing grade (0-100).
`grades_run`	numeric	PFF rushing grade (0-100).
`grades_run_block`	numeric	PFF run-blocking grade (0-100).
`jersey_number`	character	Jersey number (string; zero-padded, e.g. "09").
`penalties`	numeric	Total number of penalties.
`player`	character	Player name
`player_game_count`	numeric	Games with at least one qualifying snap in the requested range.
`player_id`	numeric	PFF player id (integer; matches the /players id and every player_id join key).
`position`	character	Primary position as reported by NFL.com
`snap_counts_pass`	numeric
`snap_counts_pass_block`	numeric
`snap_counts_pass_route`	numeric
`snap_counts_run`	numeric
`snap_counts_run_block`	numeric
`snap_counts_total`	numeric
`snap_counts_total_pass`	numeric
`snap_counts_total_run`	numeric
`team`	character	NFL team. Uses official abbreviations as per NFL.com
`team_name`	character	Team abbreviation the player is credited to for the range.
`grades_pass_block`	numeric	PFF pass-blocking grade (0-100).
`grades_pass_route`	numeric	PFF receiving/route grade (0-100).

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

pff_facet_offense_summary()

Last validated n/a.

`pff_facet_passing_allowed_pressure`

Facet report /passing/allowed_pressure (By Position leaderboard; add franchiseId for By Team, gameId for By Game)

Endpoint URL: GET https://premium.pff.com/api/v1/facet/passing/allowed_pressure

Valid URL: https://premium.pff.com/api/v1/facet/passing/allowed_pressure

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Week or week-group key (e.g. 'REG', a week number, or a range).
`franchiseId`	`franchise_id`	`Y`	PFF franchise (team) id; filters a report 'By Team'.
`gameId`	`game_id`	`Y`	PFF game id; filters a report 'By Game'.
`division`	`division`	`Y`	Division filter (NCAA).

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
`te_percent`	numeric
`draft_season`	numeric
`pressures_lt`	numeric
`pressures_rg`	numeric
`team_name`	character	Full team display name (e.g. 'Las Vegas Aces').
`lt_percent`	numeric
`jersey_number`	character	Jersey number. Often useful for joins by name/team/jersey.
`hits_allowed`	numeric
`pressures_lg`	numeric
`player_game_count`	numeric
`eligible_season`	numeric
`hurries_allowed`	numeric
`self_percent`	numeric
`pressures_rt`	numeric
`pressures_allowed`	numeric
`pressures_ol_te`	numeric
`pressures_ce`	numeric
`penalties`	numeric	Total number of penalties.
`sacks_allowed`	numeric	Opponent sacks.
`ol_te_percent`	numeric
`allowed_pressure_dropbacks`	numeric
`pressures_other`	numeric
`team`	character	NFL team. Uses official abbreviations as per NFL.com
`declined_penalties`	numeric
`ce_percent`	numeric
`position`	character	Primary position as reported by NFL.com
`pressures_te`	numeric
`pressures_self`	numeric
`lg_percent`	numeric
`player`	character	Player name
`rt_percent`	numeric
`franchise_id`	numeric	ESPN franchise identifier.
`other_percent`	numeric
`pressures_off`	numeric
`rg_percent`	numeric
`player_id`	numeric	Player ID (aka GSIS ID) as defined by nflreadr::load_rosters

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

pff_facet_passing_allowed_pressure()

Last validated n/a.

`pff_facet_pass_rush_summary`

Facet report /defense/pass_rush (By Position leaderboard; add franchiseId for By Team, gameId for By Game)

Endpoint URL: GET https://premium.pff.com/api/v1/facet/defense/pass_rush

Valid URL: https://premium.pff.com/api/v1/facet/defense/pass_rush

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Week or week-group key (e.g. 'REG', a week number, or a range).
`franchiseId`	`franchise_id`	`Y`	PFF franchise (team) id; filters a report 'By Team'.
`gameId`	`game_id`	`Y`	PFF game id; filters a report 'By Game'.
`division`	`division`	`Y`	Division filter (NCAA).

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
`true_pass_set_total_pressures`	numeric
`draft_season`	numeric
`true_pass_set_prp`	numeric
`true_pass_set_hurries`	numeric
`team_name`	character	Full team display name (e.g. 'Las Vegas Aces').
`prp`	numeric
`true_pass_set_sacks`	numeric
`pass_rush_win_rate`	numeric
`jersey_number`	character	Jersey number. Often useful for joins by name/team/jersey.
`sacks`	numeric	The Number of times sacked.
`snap_counts_pass_rush`	numeric
`player_game_count`	numeric
`eligible_season`	numeric
`true_pass_set_snap_counts_pass_play`	numeric
`pass_rush_wins`	numeric
`hurries`	numeric
`pass_rush_opp`	numeric
`snap_counts_pass_play`	numeric
`hits`	numeric	Hits.
`true_pass_set_pass_rush_win_rate`	numeric
`penalties`	numeric	Total number of penalties.
`batted_passes`	numeric
`true_pass_set_hits`	numeric
`true_pass_set_snap_counts_pass_rush`	numeric
`team`	character	NFL team. Uses official abbreviations as per NFL.com
`declined_penalties`	numeric
`true_pass_set_pass_rush_wins`	numeric
`total_pressures`	numeric
`position`	character	Primary position as reported by NFL.com
`true_pass_set_grades_pass_rush_defense`	numeric
`true_pass_set_batted_passes`	numeric
`player`	character	Player name
`franchise_id`	numeric	ESPN franchise identifier.
`pass_rush_percent`	numeric
`true_pass_set_pass_rush_opp`	numeric
`true_pass_set_pass_rush_percent`	numeric
`grades_pass_rush_defense`	numeric
`player_id`	numeric	Player ID (aka GSIS ID) as defined by nflreadr::load_rosters

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

pff_facet_pass_rush_summary()

Last validated n/a.

`pff_facet_passing_concept`

Facet report /passing/concept (By Position leaderboard; add franchiseId for By Team, gameId for By Game)

Endpoint URL: GET https://premium.pff.com/api/v1/facet/passing/concept

Valid URL: https://premium.pff.com/api/v1/facet/passing/concept

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Week or week-group key (e.g. 'REG', a week number, or a range).
`franchiseId`	`franchise_id`	`Y`	PFF franchise (team) id; filters a report 'By Team'.
`gameId`	`game_id`	`Y`	PFF game id; filters a report 'By Game'.
`division`	`division`	`Y`	Division filter (NCAA).

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
`comp_pct_diff`	numeric
`pa_grades_pass`	numeric
`no_screen_grades_offense`	numeric
`pa_qb_rating`	numeric
`no_screen_qb_rating`	numeric
`pa_completions`	numeric
`pa_thrown_aways`	numeric
`pa_dropbacks_percent`	numeric
`ypa_diff`	numeric
`no_screen_drops`	numeric
`screen_completion_percent`	numeric
`npa_bats`	numeric
`no_screen_thrown_aways`	numeric
`pa_grades_run`	numeric
`screen_pressure_to_sack_rate`	numeric
`pa_drop_rate`	numeric
`screen_grades_offense`	numeric
`dropbacks`	numeric
`npa_thrown_aways`	numeric
`no_screen_def_gen_pressures`	numeric
`screen_grades_hands_fumble`	numeric
`pa_touchdowns`	numeric
`npa_ypa`	numeric
`draft_season`	numeric
`screen_avg_time_to_throw`	numeric
`screen_thrown_aways`	numeric
`npa_sacks`	numeric
`npa_aimed_passes`	numeric
`no_screen_completions`	numeric
`no_screen_positive_epa_percent`	numeric
`screen_spikes`	numeric
`pa_first_downs`	numeric
`pa_big_time_throws`	numeric
`team_name`	character	Full team display name (e.g. 'Las Vegas Aces').
`pa_spikes`	numeric
`pa_sack_percent`	numeric
`screen_dropbacks_percent`	numeric
`no_screen_epa`	numeric
`npa_avg_time_to_throw`	numeric
`screen_bats`	numeric
`screen_grades_run_block`	numeric
`jersey_number`	character	Jersey number. Often useful for joins by name/team/jersey.
`no_screen_bats`	numeric
`npa_grades_offense`	numeric
`no_screen_grades_pass_route`	numeric
`screen_def_gen_pressures`	numeric
`pa_pressure_to_sack_rate`	numeric
`screen_sack_percent`	numeric
`no_screen_btt_rate`	numeric
`npa_btt_rate`	numeric
`screen_interceptions`	numeric
`no_screen_passing_snaps`	numeric
`no_screen_grades_hands_fumble`	numeric
`screen_scrambles`	numeric
`screen_grades_pass`	numeric
`npa_qb_rating`	numeric
`no_screen_grades_pass`	numeric
`pa_avg_time_to_throw`	numeric
`screen_twp_rate`	numeric
`player_game_count`	numeric
`npa_accuracy_percent`	numeric
`eligible_season`	numeric
`npa_drops`	numeric
`screen_yards`	numeric
`no_screen_drop_rate`	numeric
`no_screen_grades_offense_penalty`	numeric
`npa_passing_snaps`	numeric
`screen_drop_rate`	numeric
`screen_epa`	numeric
`screen_grades_pass_route`	numeric
`screen_grades_offense_penalty`	numeric
`npa_spikes`	numeric
`screen_hit_as_threw`	numeric
`no_screen_aimed_passes`	numeric
`screen_drops`	numeric
`screen_ypa`	numeric
`npa_twp_rate`	numeric
`screen_accuracy_percent`	numeric
`npa_hit_as_threw`	numeric
`pa_accuracy_percent`	numeric
`pa_def_gen_pressures`	numeric
`screen_avg_depth_of_target`	numeric
`pa_sacks`	numeric
`screen_passing_snaps`	numeric
`no_screen_grades_run`	numeric
`no_screen_first_downs`	numeric
`pa_ypa`	numeric
`npa_scrambles`	numeric
`npa_pressure_to_sack_rate`	numeric
`pa_twp_rate`	numeric
`no_screen_twp_rate`	numeric
`npa_grades_hands_fumble`	numeric
`screen_completions`	numeric
`screen_btt_rate`	numeric
`npa_grades_run`	numeric
`no_screen_interceptions`	numeric
`npa_grades_run_block`	numeric
`no_screen_sacks`	numeric
`penalties`	numeric	Total number of penalties.
`no_screen_big_time_throws`	numeric
`npa_drop_rate`	numeric
`npa_attempts`	numeric
`screen_qb_rating`	numeric
`npa_grades_offense_penalty`	numeric
`pa_bats`	numeric
`pa_attempts`	numeric
`npa_def_gen_pressures`	numeric
`no_screen_avg_time_to_throw`	numeric
`pa_yards`	numeric
`npa_positive_epa_percent`	numeric
`team`	character	NFL team. Uses official abbreviations as per NFL.com
`no_screen_scrambles`	numeric
`pa_turnover_worthy_plays`	numeric
`pa_aimed_passes`	numeric
`declined_penalties`	numeric
`pa_grades_offense`	numeric
`screen_positive_epa_percent`	numeric
`no_screen_dropbacks`	numeric
`no_screen_dropbacks_percent`	numeric
`npa_grades_pass_route`	numeric
`npa_sack_percent`	numeric
`pa_positive_epa_percent`	numeric
`pa_grades_run_block`	numeric
`no_screen_turnover_worthy_plays`	numeric
`position`	character	Primary position as reported by NFL.com
`pa_grades_pass_route`	numeric
`npa_epa`	numeric
`no_screen_avg_depth_of_target`	numeric
`pa_grades_hands_fumble`	numeric
`no_screen_completion_percent`	numeric
`pa_hit_as_threw`	numeric
`pa_grades_offense_penalty`	numeric
`npa_dropbacks_percent`	numeric
`npa_grades_pass`	numeric
`screen_grades_run`	numeric
`screen_first_downs`	numeric
`npa_completion_percent`	numeric
`no_screen_grades_run_block`	numeric
`no_screen_hit_as_threw`	numeric
`screen_turnover_worthy_plays`	numeric
`npa_avg_depth_of_target`	numeric
`npa_dropbacks`	numeric
`player`	character	Player name
`pa_drops`	numeric
`pa_btt_rate`	numeric
`franchise_id`	numeric	ESPN franchise identifier.
`screen_big_time_throws`	numeric
`screen_aimed_passes`	numeric
`npa_touchdowns`	numeric
`screen_attempts`	numeric
`screen_dropbacks`	numeric
`no_screen_yards`	numeric
`pa_scrambles`	numeric
`pa_completion_percent`	numeric
`pa_avg_depth_of_target`	numeric
`pa_interceptions`	numeric
`no_screen_accuracy_percent`	numeric
`no_screen_spikes`	numeric
`pa_dropbacks`	numeric
`npa_big_time_throws`	numeric
`no_screen_sack_percent`	numeric
`pa_epa`	numeric
`no_screen_attempts`	numeric
`pa_passing_snaps`	numeric
`npa_completions`	numeric
`screen_touchdowns`	numeric
`npa_first_downs`	numeric
`no_screen_touchdowns`	numeric
`player_id`	numeric	Player ID (aka GSIS ID) as defined by nflreadr::load_rosters
`npa_yards`	numeric
`no_screen_ypa`	numeric
`npa_turnover_worthy_plays`	numeric
`npa_interceptions`	numeric
`no_screen_pressure_to_sack_rate`	numeric
`screen_sacks`	numeric
`screen_grades_hands_drop`	numeric
`screen_grades_pass_block`	numeric
`no_screen_grades_pass_block`	numeric
`pa_grades_hands_drop`	numeric
`npa_grades_pass_block`	numeric
`pa_grades_pass_block`	numeric
`npa_grades_hands_drop`	numeric
`no_screen_grades_hands_drop`	numeric
`pa_grades_screen_block`	numeric
`screen_grades_screen_block`	numeric
`no_screen_grades_screen_block`	numeric
`npa_grades_screen_block`	numeric
`pa_grades_defense_penalty`	numeric
`npa_grades_defense_penalty`	numeric
`npa_grades_coverage_defense`	numeric
`pa_grades_defense`	numeric
`screen_grades_coverage_defense`	numeric
`npa_grades_defense`	numeric
`screen_grades_defense`	numeric
`screen_grades_defense_penalty`	numeric
`no_screen_grades_defense`	numeric
`pa_grades_coverage_defense`	numeric
`no_screen_grades_defense_penalty`	numeric
`no_screen_grades_coverage_defense`	numeric
`no_screen_grades_overall_tackle`	numeric
`pa_grades_overall_tackle`	numeric
`pa_grades_tackle`	numeric
`pa_grades_pass_rush_defense`	character
`screen_grades_run_defense`	character
`pa_grades_run_defense`	character
`npa_grades_overall_tackle`	numeric
`no_screen_grades_pass_rush_defense`	numeric
`npa_grades_tackle`	numeric
`screen_grades_tackle`	character
`no_screen_grades_tackle`	numeric
`npa_grades_pass_rush_defense`	numeric
`no_screen_grades_run_defense`	numeric
`screen_grades_overall_tackle`	character
`npa_grades_run_defense`	numeric
`screen_grades_pass_rush_defense`	numeric

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

pff_facet_passing_concept()

Last validated n/a.

`pff_facet_coverage_scheme`

Facet report /defense/coverage_scheme (By Position leaderboard; add franchiseId for By Team, gameId for By Game)

Endpoint URL: GET https://premium.pff.com/api/v1/facet/defense/coverage_scheme

Valid URL: https://premium.pff.com/api/v1/facet/defense/coverage_scheme

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Week or week-group key (e.g. 'REG', a week number, or a range).
`franchiseId`	`franchise_id`	`Y`	PFF franchise (team) id; filters a report 'By Team'.
`gameId`	`game_id`	`Y`	PFF game id; filters a report 'By Game'.
`division`	`division`	`Y`	Division filter (NCAA).

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
`man_touchdowns`	numeric
`man_interceptions`	numeric
`zone_snap_counts_coverage_percent`	numeric
`man_avg_depth_of_target`	numeric
`man_dropped_ints`	numeric
`draft_season`	numeric
`zone_coverage_snaps_per_target`	numeric
`man_yards_per_reception`	numeric
`team_name`	character	Full team display name (e.g. 'Las Vegas Aces').
`jersey_number`	character	Jersey number. Often useful for joins by name/team/jersey.
`man_snap_counts_coverage`	numeric
`man_tackles`	numeric
`zone_stops`	numeric
`zone_snap_counts_coverage`	numeric
`zone_yards`	numeric
`man_coverage_snaps_per_target`	numeric
`zone_coverage_percent`	numeric
`player_game_count`	numeric
`eligible_season`	numeric
`zone_receptions`	numeric
`zone_forced_incompletion_rate`	numeric
`man_snap_counts_pass_play`	numeric
`zone_yards_per_reception`	numeric
`man_longest`	numeric
`man_assists`	numeric
`zone_yards_after_catch`	numeric
`man_stops`	numeric
`man_receptions`	numeric
`zone_tackles`	numeric
`man_coverage_percent`	numeric
`penalties`	numeric	Total number of penalties.
`zone_yards_per_coverage_snap`	numeric
`team`	character	NFL team. Uses official abbreviations as per NFL.com
`man_catch_rate`	numeric
`man_grades_coverage_defense`	numeric
`declined_penalties`	numeric
`man_yards_after_catch`	numeric
`man_pass_break_ups`	numeric
`man_yards`	numeric
`position`	character	Primary position as reported by NFL.com
`man_targets`	numeric
`man_missed_tackle_rate`	numeric
`zone_assists`	numeric
`zone_snap_counts_pass_play`	numeric
`zone_missed_tackle_rate`	numeric
`zone_touchdowns`	numeric
`zone_coverage_snaps_per_reception`	numeric
`man_coverage_snaps_per_reception`	numeric
`zone_avg_depth_of_target`	numeric
`man_snap_counts_coverage_percent`	numeric
`player`	character	Player name
`franchise_id`	numeric	ESPN franchise identifier.
`zone_forced_incompletes`	numeric
`man_forced_incompletion_rate`	numeric
`zone_targets`	numeric
`zone_longest`	numeric
`zone_dropped_ints`	numeric
`zone_interceptions`	numeric
`man_forced_incompletes`	numeric
`player_id`	numeric	Player ID (aka GSIS ID) as defined by nflreadr::load_rosters
`zone_missed_tackles`	numeric
`base_snap_counts_coverage`	numeric
`man_missed_tackles`	numeric
`zone_grades_coverage_defense`	numeric
`man_qb_rating_against`	numeric
`zone_pass_break_ups`	numeric
`zone_qb_rating_against`	numeric
`man_yards_per_coverage_snap`	numeric
`zone_catch_rate`	numeric

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

pff_facet_coverage_scheme()

Last validated n/a.

`pff_facet_passing_detail_stats`

Facet report /passing/detail (By Position leaderboard; add franchiseId for By Team, gameId for By Game)

Endpoint URL: GET https://premium.pff.com/api/v1/facet/passing/detail

Valid URL: https://premium.pff.com/api/v1/facet/passing/detail

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Week or week-group key (e.g. 'REG', a week number, or a range).
`franchiseId`	`franchise_id`	`Y`	PFF franchise (team) id; filters a report 'By Team'.
`gameId`	`game_id`	`Y`	PFF game id; filters a report 'By Game'.
`division`	`division`	`Y`	Division filter (NCAA).

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
`left_behind_los_accuracy_percent`	numeric
`left_short_scrambles`	numeric
`center_short_first_downs`	numeric
`no_blitz_completion_percent`	numeric
`right_short_bats`	numeric
`right_behind_los_positive_epa_percent`	numeric
`left_behind_los_completions`	numeric
`comp_pct_diff`	numeric
`pa_grades_pass`	numeric
`left_medium_dropbacks`	numeric
`right_medium_grades_pass`	numeric
`right_medium_hit_as_threw`	numeric
`behind_los_attempts_percent`	numeric
`grades_offense`	numeric
`no_screen_grades_offense`	numeric
`pa_qb_rating`	numeric
`right_short_turnover_worthy_plays`	numeric
`no_screen_qb_rating`	numeric
`pa_completions`	numeric
`right_medium_qb_rating`	numeric
`deep_twp_rate`	numeric
`center_medium_sacks`	numeric
`medium_interceptions`	numeric
`left_deep_completions`	numeric
`no_pressure_scrambles`	numeric
`twp_rate`	numeric
`behind_los_spikes`	numeric
`medium_aimed_passes`	numeric
`pa_thrown_aways`	numeric
`pa_dropbacks_percent`	numeric
`ypa_diff`	numeric
`blitz_touchdowns`	numeric
`center_behind_los_drops`	numeric
`pressure_yards`	numeric
`no_pressure_spikes`	numeric
`blitz_ypa`	numeric
`center_behind_los_interceptions`	numeric
`no_screen_drops`	numeric
`behind_los_dropbacks`	numeric
`no_blitz_grades_run`	numeric
`screen_completion_percent`	numeric
`npa_bats`	numeric
`left_behind_los_interceptions`	numeric
`left_deep_first_downs`	numeric
`deep_passing_snaps`	numeric
`btt_rate`	numeric
`center_short_btt_rate`	numeric
`center_medium_thrown_aways`	numeric
`center_deep_avg_depth_of_target`	numeric
`blitz_qb_rating`	numeric
`center_short_drops`	numeric
`no_pressure_thrown_aways`	numeric
`no_screen_thrown_aways`	numeric
`no_blitz_bats`	numeric
`center_deep_first_downs`	numeric
`left_medium_completion_percent`	numeric
`center_deep_attempts`	numeric
`pa_grades_run`	numeric
`center_behind_los_attempts`	numeric
`right_short_positive_epa_percent`	numeric
`no_blitz_drops`	numeric
`center_deep_aimed_passes`	numeric
`right_deep_grades_pass`	numeric
`right_medium_big_time_throws`	numeric
`deep_sack_percent`	numeric
`no_pressure_completion_percent`	numeric
`blitz_aimed_passes`	numeric
`screen_pressure_to_sack_rate`	numeric
`pa_drop_rate`	numeric
`center_medium_pressure_to_sack_rate`	numeric
`deep_sacks`	numeric
`right_medium_ypa`	numeric
`spikes`	numeric	Spikes
`left_deep_drop_rate`	numeric
`screen_grades_offense`	numeric
`right_medium_attempts_percent`	numeric
`right_deep_btt_rate`	numeric
`center_short_attempts_percent`	numeric
`deep_drops`	numeric
`center_behind_los_big_time_throws`	numeric
`center_behind_los_touchdowns`	numeric
`dropbacks`	numeric
`right_behind_los_twp_rate`	numeric
`center_deep_completions`	numeric
`npa_thrown_aways`	numeric
`center_short_attempts`	numeric
`pressure_grades_run`	numeric
`left_behind_los_sack_percent`	numeric
`center_short_pressure_to_sack_rate`	numeric
`deep_touchdowns`	numeric
`no_blitz_sack_percent`	numeric
`no_pressure_bats`	numeric
`center_behind_los_accuracy_percent`	numeric
`pressure_completions`	numeric
`blitz_big_time_throws`	numeric
`center_deep_drop_rate`	numeric
`right_short_first_downs`	numeric
`no_screen_def_gen_pressures`	numeric
`right_behind_los_first_downs`	numeric
`screen_grades_hands_fumble`	numeric
`pa_touchdowns`	numeric
`short_interceptions`	numeric
`center_medium_scrambles`	numeric
`left_behind_los_sacks`	numeric
`npa_ypa`	numeric
`no_blitz_drop_rate`	numeric
`blitz_spikes`	numeric
`left_short_ypa`	numeric
`no_pressure_completions`	numeric
`left_short_qb_rating`	numeric
`thrown_aways`	numeric
`right_behind_los_qb_rating`	numeric
`draft_season`	numeric
`screen_avg_time_to_throw`	numeric
`right_behind_los_dropbacks`	numeric
`screen_thrown_aways`	numeric
`behind_los_def_gen_pressures`	numeric
`npa_sacks`	numeric
`no_pressure_passing_snaps`	numeric
`npa_aimed_passes`	numeric
`no_blitz_first_downs`	numeric
`right_short_thrown_aways`	numeric
`deep_def_gen_pressures`	numeric
`right_short_btt_rate`	numeric
`center_behind_los_positive_epa_percent`	numeric
`blitz_avg_time_to_throw`	numeric
`left_behind_los_grades_pass`	numeric
`deep_grades_pass`	numeric
`no_pressure_grades_hands_fumble`	numeric
`center_short_turnover_worthy_plays`	numeric
`center_behind_los_scrambles`	numeric
`pressure_aimed_passes`	numeric
`no_screen_completions`	numeric
`right_short_aimed_passes`	numeric
`no_screen_positive_epa_percent`	numeric
`center_short_dropbacks`	numeric
`medium_epa`	numeric
`right_short_ypa`	numeric
`blitz_sacks`	numeric
`center_medium_ypa`	numeric
`screen_spikes`	numeric
`pa_first_downs`	numeric
`medium_attempts`	numeric
`no_pressure_interceptions`	numeric
`right_deep_accuracy_percent`	numeric
`behind_los_scrambles`	numeric
`center_behind_los_completion_percent`	numeric
`left_behind_los_btt_rate`	numeric
`right_behind_los_btt_rate`	numeric
`pa_big_time_throws`	numeric
`team_name`	character	Full team display name (e.g. 'Las Vegas Aces').
`short_touchdowns`	numeric
`pa_spikes`	numeric
`center_medium_drops`	numeric
`left_behind_los_aimed_passes`	numeric
`pa_sack_percent`	numeric
`deep_attempts`	numeric
`right_behind_los_sack_percent`	numeric
`pressure_epa`	numeric
`center_short_positive_epa_percent`	numeric
`deep_avg_depth_of_target`	numeric
`left_deep_btt_rate`	numeric
`medium_scrambles`	numeric
`blitz_completions`	numeric
`center_behind_los_avg_depth_of_target`	numeric
`blitz_attempts`	numeric
`short_attempts_percent`	numeric
`right_behind_los_sacks`	numeric
`screen_dropbacks_percent`	numeric
`center_medium_avg_time_to_throw`	numeric
`pressure_twp_rate`	numeric
`pressure_sacks`	numeric
`left_short_pressure_to_sack_rate`	numeric
`no_blitz_pressure_to_sack_rate`	numeric
`no_pressure_ypa`	numeric
`no_screen_epa`	numeric
`center_deep_sack_percent`	numeric
`center_deep_ypa`	numeric
`left_behind_los_hit_as_threw`	numeric
`pressure_passing_snaps`	numeric
`medium_big_time_throws`	numeric
`grades_pass`	numeric
`npa_avg_time_to_throw`	numeric
`deep_thrown_aways`	numeric
`right_short_accuracy_percent`	numeric
`left_deep_turnover_worthy_plays`	numeric
`center_medium_bats`	numeric
`right_short_grades_pass`	numeric
`hit_as_threw`	numeric
`right_deep_spikes`	numeric
`left_deep_passing_snaps`	numeric
`center_medium_twp_rate`	numeric
`right_behind_los_passing_snaps`	numeric
`left_deep_qb_rating`	numeric
`screen_bats`	numeric
`right_deep_drop_rate`	numeric
`first_downs`	numeric	First downs earned by the team.
`screen_grades_run_block`	numeric
`left_behind_los_drop_rate`	numeric
`pressure_bats`	numeric
`left_medium_drop_rate`	numeric
`right_deep_attempts`	numeric
`left_deep_spikes`	numeric
`center_behind_los_dropbacks`	numeric
`blitz_thrown_aways`	numeric
`right_deep_big_time_throws`	numeric
`medium_hit_as_threw`	numeric
`right_short_dropbacks`	numeric
`no_pressure_drops`	numeric
`medium_def_gen_pressures`	numeric
`jersey_number`	character	Jersey number. Often useful for joins by name/team/jersey.
`left_short_positive_epa_percent`	numeric
`left_short_attempts`	numeric
`pressure_grades_offense_penalty`	numeric
`center_deep_twp_rate`	numeric
`right_medium_avg_time_to_throw`	numeric
`left_behind_los_qb_rating`	numeric
`no_screen_bats`	numeric
`left_behind_los_dropbacks`	numeric
`pressure_scrambles`	numeric
`blitz_drop_rate`	numeric
`deep_dropbacks`	numeric
`right_behind_los_scrambles`	numeric
`sack_percent`	numeric
`behind_los_interceptions`	numeric
`right_deep_drops`	numeric
`right_deep_yards`	numeric
`right_short_hit_as_threw`	numeric
`npa_grades_offense`	numeric
`right_short_avg_depth_of_target`	numeric
`short_bats`	numeric
`right_deep_twp_rate`	numeric
`right_behind_los_pressure_to_sack_rate`	numeric
`screen_def_gen_pressures`	numeric
`deep_spikes`	numeric
`pa_pressure_to_sack_rate`	numeric
`center_medium_spikes`	numeric
`screen_sack_percent`	numeric
`blitz_completion_percent`	numeric
`behind_los_aimed_passes`	numeric
`right_behind_los_touchdowns`	numeric
`bats`	numeric
`right_medium_pressure_to_sack_rate`	numeric
`no_screen_btt_rate`	numeric
`medium_thrown_aways`	numeric
`short_sacks`	numeric
`center_behind_los_twp_rate`	numeric
`left_behind_los_attempts`	numeric
`short_aimed_passes`	numeric
`short_completions`	numeric
`right_short_pressure_to_sack_rate`	numeric
`npa_btt_rate`	numeric
`medium_avg_depth_of_target`	numeric
`left_behind_los_positive_epa_percent`	numeric
`screen_interceptions`	numeric
`center_medium_attempts_percent`	numeric
`left_medium_touchdowns`	numeric
`center_short_bats`	numeric
`left_deep_avg_time_to_throw`	numeric
`no_screen_passing_snaps`	numeric
`no_pressure_first_downs`	numeric
`center_behind_los_passing_snaps`	numeric
`center_short_yards`	numeric
`blitz_grades_offense_penalty`	numeric
`right_medium_btt_rate`	numeric
`right_medium_scrambles`	numeric
`no_screen_grades_hands_fumble`	numeric
`medium_btt_rate`	numeric
`no_blitz_epa`	numeric
`center_behind_los_btt_rate`	numeric
`blitz_interceptions`	numeric
`no_blitz_dropbacks`	numeric
`center_short_avg_depth_of_target`	numeric
`left_medium_sacks`	numeric
`right_short_yards`	numeric
`left_medium_first_downs`	numeric
`no_blitz_grades_pass`	numeric
`right_medium_positive_epa_percent`	numeric
`screen_scrambles`	numeric
`left_short_big_time_throws`	numeric
`deep_turnover_worthy_plays`	numeric
`no_blitz_scrambles`	numeric
`pressure_drop_rate`	numeric
`left_deep_bats`	numeric
`no_blitz_yards`	numeric
`left_medium_turnover_worthy_plays`	numeric
`screen_grades_pass`	numeric
`center_deep_drops`	numeric
`center_medium_avg_depth_of_target`	numeric
`sacks`	numeric	The Number of times sacked.
`pressure_pressure_to_sack_rate`	numeric
`center_behind_los_ypa`	numeric
`right_short_attempts`	numeric
`center_medium_completion_percent`	numeric
`no_blitz_grades_hands_fumble`	numeric
`right_short_sack_percent`	numeric
`left_behind_los_avg_depth_of_target`	numeric
`center_medium_epa`	numeric
`center_behind_los_sack_percent`	numeric
`npa_qb_rating`	numeric
`no_pressure_grades_offense`	numeric
`medium_completions`	numeric
`no_screen_grades_pass`	numeric
`medium_sack_percent`	numeric
`left_short_grades_pass`	numeric
`deep_btt_rate`	numeric
`pa_avg_time_to_throw`	numeric
`left_short_accuracy_percent`	numeric
`no_pressure_avg_time_to_throw`	numeric
`screen_twp_rate`	numeric
`pressure_dropbacks`	numeric
`short_twp_rate`	numeric
`short_passing_snaps`	numeric
`left_deep_sacks`	numeric
`short_scrambles`	numeric
`center_medium_turnover_worthy_plays`	numeric
`no_blitz_grades_offense_penalty`	numeric
`behind_los_drop_rate`	numeric
`right_behind_los_epa`	numeric
`right_medium_aimed_passes`	numeric
`no_pressure_grades_run`	numeric
`short_accuracy_percent`	numeric
`player_game_count`	numeric
`short_btt_rate`	numeric
`right_short_touchdowns`	numeric
`center_short_completions`	numeric
`right_short_spikes`	numeric
`behind_los_first_downs`	numeric
`right_medium_def_gen_pressures`	numeric
`blitz_turnover_worthy_plays`	numeric
`deep_pressure_to_sack_rate`	numeric
`npa_accuracy_percent`	numeric
`no_blitz_touchdowns`	numeric
`no_blitz_avg_depth_of_target`	numeric
`medium_qb_rating`	numeric
`short_completion_percent`	numeric
`right_deep_attempts_percent`	numeric
`no_pressure_dropbacks_percent`	numeric
`blitz_grades_pass`	numeric
`eligible_season`	numeric
`short_big_time_throws`	numeric
`behind_los_attempts`	numeric
`blitz_avg_depth_of_target`	numeric
`no_blitz_spikes`	numeric
`center_behind_los_yards`	numeric
`npa_drops`	numeric
`center_behind_los_bats`	numeric
`center_behind_los_qb_rating`	numeric
`right_deep_pressure_to_sack_rate`	numeric
`center_short_accuracy_percent`	numeric
`left_behind_los_bats`	numeric
`no_pressure_dropbacks`	numeric
`center_deep_passing_snaps`	numeric
`right_behind_los_hit_as_threw`	numeric
`medium_bats`	numeric
`right_medium_first_downs`	numeric
`completions`	numeric	The number of completed passes.
`medium_spikes`	numeric
`left_deep_thrown_aways`	numeric
`screen_yards`	numeric
`right_deep_epa`	numeric
`center_medium_hit_as_threw`	numeric
`left_behind_los_completion_percent`	numeric
`blitz_btt_rate`	numeric
`no_screen_drop_rate`	numeric
`center_short_ypa`	numeric
`right_short_drop_rate`	numeric
`right_behind_los_accuracy_percent`	numeric
`blitz_positive_epa_percent`	numeric
`no_pressure_btt_rate`	numeric
`left_short_yards`	numeric
`deep_accuracy_percent`	numeric
`right_behind_los_avg_depth_of_target`	numeric
`center_behind_los_thrown_aways`	numeric
`center_behind_los_attempts_percent`	numeric
`no_screen_grades_offense_penalty`	numeric
`right_deep_first_downs`	numeric
`left_short_completions`	numeric
`deep_completion_percent`	numeric
`left_deep_positive_epa_percent`	numeric
`npa_passing_snaps`	numeric
`screen_drop_rate`	numeric
`screen_epa`	numeric
`no_pressure_drop_rate`	numeric
`no_blitz_turnover_worthy_plays`	numeric
`yards`	numeric	The number of receiving yards
`right_deep_sack_percent`	numeric
`behind_los_pressure_to_sack_rate`	numeric
`screen_grades_offense_penalty`	numeric
`right_deep_touchdowns`	numeric
`npa_spikes`	numeric
`pressure_positive_epa_percent`	numeric
`screen_hit_as_threw`	numeric
`left_behind_los_def_gen_pressures`	numeric
`left_behind_los_drops`	numeric
`deep_epa`	numeric
`left_deep_ypa`	numeric
`medium_touchdowns`	numeric
`no_screen_aimed_passes`	numeric
`screen_drops`	numeric
`left_medium_grades_pass`	numeric
`accuracy_percent`	numeric
`right_behind_los_spikes`	numeric
`screen_ypa`	numeric
`medium_grades_pass`	numeric
`blitz_first_downs`	numeric
`npa_twp_rate`	numeric
`behind_los_passing_snaps`	numeric
`left_short_first_downs`	numeric
`center_short_passing_snaps`	numeric
`center_deep_accuracy_percent`	numeric
`right_deep_positive_epa_percent`	numeric
`right_medium_sack_percent`	numeric
`right_deep_qb_rating`	numeric
`no_blitz_dropbacks_percent`	numeric
`right_short_completion_percent`	numeric
`screen_accuracy_percent`	numeric
`right_behind_los_interceptions`	numeric
`behind_los_yards`	numeric
`center_behind_los_grades_pass`	numeric
`left_deep_dropbacks`	numeric
`npa_hit_as_threw`	numeric
`center_behind_los_spikes`	numeric
`scrambles`	numeric
`right_behind_los_aimed_passes`	numeric
`left_short_interceptions`	numeric
`right_medium_interceptions`	numeric
`left_behind_los_yards`	numeric
`pa_accuracy_percent`	numeric
`center_deep_btt_rate`	numeric
`pressure_turnover_worthy_plays`	numeric
`medium_first_downs`	numeric
`no_pressure_epa`	numeric
`left_short_avg_depth_of_target`	numeric
`left_behind_los_ypa`	numeric
`short_attempts`	numeric
`right_medium_bats`	numeric
`no_blitz_avg_time_to_throw`	numeric
`left_behind_los_touchdowns`	numeric
`pa_def_gen_pressures`	numeric
`right_medium_dropbacks`	numeric
`interceptions`	numeric	The number of interceptions thrown.
`screen_avg_depth_of_target`	numeric
`pa_sacks`	numeric
`short_turnover_worthy_plays`	numeric
`screen_passing_snaps`	numeric
`right_deep_thrown_aways`	numeric
`drop_rate`	numeric
`right_behind_los_drop_rate`	numeric
`no_screen_grades_run`	numeric
`right_short_qb_rating`	numeric
`medium_sacks`	numeric
`center_deep_attempts_percent`	numeric
`left_short_dropbacks`	numeric
`behind_los_drops`	numeric
`short_sack_percent`	numeric
`no_screen_first_downs`	numeric
`no_blitz_positive_epa_percent`	numeric
`left_medium_spikes`	numeric
`left_medium_accuracy_percent`	numeric
`pressure_btt_rate`	numeric
`pa_ypa`	numeric
`behind_los_completions`	numeric
`npa_scrambles`	numeric
`no_pressure_aimed_passes`	numeric
`pressure_dropbacks_percent`	numeric
`grades_run`	numeric
`behind_los_sack_percent`	numeric
`left_deep_yards`	numeric
`left_short_aimed_passes`	numeric
`npa_pressure_to_sack_rate`	numeric
`center_behind_los_completions`	numeric
`pa_twp_rate`	numeric
`no_pressure_def_gen_pressures`	numeric
`left_short_thrown_aways`	numeric
`pressure_grades_offense`	numeric
`left_short_sack_percent`	numeric
`center_short_thrown_aways`	numeric
`center_short_interceptions`	numeric
`short_avg_depth_of_target`	numeric
`pressure_completion_percent`	numeric
`left_deep_touchdowns`	numeric
`deep_yards`	numeric
`center_behind_los_turnover_worthy_plays`	numeric
`medium_ypa`	numeric
`left_medium_epa`	numeric
`left_deep_avg_depth_of_target`	numeric
`deep_first_downs`	numeric
`pressure_avg_depth_of_target`	numeric
`short_drop_rate`	numeric
`left_medium_bats`	numeric
`blitz_epa`	numeric
`center_deep_spikes`	numeric
`center_short_hit_as_threw`	numeric
`left_medium_positive_epa_percent`	numeric
`center_deep_touchdowns`	numeric
`right_deep_ypa`	numeric
`right_short_big_time_throws`	numeric
`center_short_big_time_throws`	numeric
`short_positive_epa_percent`	numeric
`no_screen_twp_rate`	numeric
`left_behind_los_avg_time_to_throw`	numeric
`right_deep_passing_snaps`	numeric
`pressure_drops`	numeric
`right_short_twp_rate`	numeric
`center_medium_attempts`	numeric
`right_deep_avg_time_to_throw`	numeric
`no_blitz_def_gen_pressures`	numeric
`center_deep_def_gen_pressures`	numeric
`pressure_attempts`	numeric
`npa_grades_hands_fumble`	numeric
`behind_los_epa`	numeric
`right_medium_twp_rate`	numeric
`right_deep_aimed_passes`	numeric
`right_deep_scrambles`	numeric
`deep_big_time_throws`	numeric
`left_short_turnover_worthy_plays`	numeric
`qb_rating`	numeric
`center_short_touchdowns`	numeric
`right_medium_drops`	numeric
`left_deep_epa`	numeric
`pressure_big_time_throws`	numeric
`no_blitz_thrown_aways`	numeric
`short_ypa`	numeric
`medium_pressure_to_sack_rate`	numeric
`left_medium_thrown_aways`	numeric
`right_behind_los_avg_time_to_throw`	numeric
`completion_percent`	numeric
`blitz_drops`	numeric
`behind_los_btt_rate`	numeric
`screen_completions`	numeric
`screen_btt_rate`	numeric
`npa_grades_run`	numeric
`no_pressure_touchdowns`	numeric
`no_screen_interceptions`	numeric
`medium_avg_time_to_throw`	numeric
`center_deep_completion_percent`	numeric
`behind_los_avg_time_to_throw`	numeric
`right_medium_touchdowns`	numeric
`no_pressure_sacks`	numeric
`center_short_avg_time_to_throw`	numeric
`npa_grades_run_block`	numeric
`left_deep_aimed_passes`	numeric
`left_medium_yards`	numeric
`center_medium_touchdowns`	numeric
`blitz_sack_percent`	numeric
`no_screen_sacks`	numeric
`center_short_drop_rate`	numeric
`left_short_twp_rate`	numeric
`pressure_sack_percent`	numeric
`no_pressure_attempts`	numeric
`right_behind_los_attempts_percent`	numeric
`no_blitz_grades_offense`	numeric
`attempts`	numeric	The number of pass attempts as defined by the NFL.
`blitz_scrambles`	numeric
`right_deep_avg_depth_of_target`	numeric
`behind_los_sacks`	numeric
`center_deep_yards`	numeric
`short_dropbacks`	numeric
`no_screen_big_time_throws`	numeric
`left_deep_sack_percent`	numeric
`center_behind_los_avg_time_to_throw`	numeric
`blitz_dropbacks_percent`	numeric
`behind_los_avg_depth_of_target`	numeric
`left_behind_los_epa`	numeric
`medium_twp_rate`	numeric
`left_short_def_gen_pressures`	numeric
`npa_drop_rate`	numeric
`medium_turnover_worthy_plays`	numeric
`behind_los_twp_rate`	numeric
`left_behind_los_thrown_aways`	numeric
`left_short_bats`	numeric
`center_medium_drop_rate`	numeric
`npa_attempts`	numeric
`right_deep_bats`	numeric
`screen_qb_rating`	numeric
`medium_yards`	numeric
`center_deep_grades_pass`	numeric
`center_medium_passing_snaps`	numeric
`center_behind_los_first_downs`	numeric
`npa_grades_offense_penalty`	numeric
`no_pressure_qb_rating`	numeric
`center_medium_interceptions`	numeric
`pa_bats`	numeric
`pa_attempts`	numeric
`behind_los_grades_pass`	numeric
`no_blitz_passing_snaps`	numeric
`npa_def_gen_pressures`	numeric
`left_short_hit_as_threw`	numeric
`deep_qb_rating`	numeric
`no_blitz_aimed_passes`	numeric
`blitz_yards`	numeric
`no_screen_avg_time_to_throw`	numeric
`center_deep_bats`	numeric
`behind_los_ypa`	numeric
`pa_yards`	numeric
`right_short_interceptions`	numeric
`left_deep_interceptions`	numeric
`right_medium_sacks`	numeric
`npa_positive_epa_percent`	numeric
`right_behind_los_turnover_worthy_plays`	numeric
`team`	character	NFL team. Uses official abbreviations as per NFL.com
`no_screen_scrambles`	numeric
`pa_turnover_worthy_plays`	numeric
`right_medium_spikes`	numeric
`behind_los_hit_as_threw`	numeric
`no_blitz_attempts`	numeric
`pressure_accuracy_percent`	numeric
`left_medium_pressure_to_sack_rate`	numeric
`medium_dropbacks`	numeric
`deep_hit_as_threw`	numeric
`no_blitz_hit_as_threw`	numeric
`right_medium_completion_percent`	numeric
`pressure_hit_as_threw`	numeric
`short_epa`	numeric
`deep_drop_rate`	numeric
`blitz_pressure_to_sack_rate`	numeric
`pa_aimed_passes`	numeric
`deep_scrambles`	numeric
`pa_grades_offense`	numeric
`screen_positive_epa_percent`	numeric
`left_deep_completion_percent`	numeric
`no_screen_dropbacks`	numeric
`right_short_epa`	numeric
`no_screen_dropbacks_percent`	numeric
`no_blitz_btt_rate`	numeric
`medium_attempts_percent`	numeric
`right_behind_los_completion_percent`	numeric
`left_medium_hit_as_threw`	numeric
`left_behind_los_pressure_to_sack_rate`	numeric
`right_short_def_gen_pressures`	numeric
`no_blitz_ypa`	numeric
`right_short_attempts_percent`	numeric
`center_short_aimed_passes`	numeric
`npa_sack_percent`	numeric
`short_hit_as_threw`	numeric
`blitz_grades_run`	numeric
`right_medium_turnover_worthy_plays`	numeric
`left_short_epa`	numeric
`center_behind_los_pressure_to_sack_rate`	numeric
`pa_positive_epa_percent`	numeric
`pressure_interceptions`	numeric
`right_behind_los_ypa`	numeric
`deep_interceptions`	numeric
`left_medium_twp_rate`	numeric
`blitz_grades_hands_fumble`	numeric
`passing_snaps`	numeric
`pa_grades_run_block`	numeric
`pressure_to_sack_rate`	numeric
`ypa`	numeric
`right_behind_los_big_time_throws`	numeric
`center_medium_sack_percent`	numeric
`drops`	numeric	Throws dropped
`center_deep_thrown_aways`	numeric
`short_thrown_aways`	numeric
`left_short_btt_rate`	numeric
`no_screen_turnover_worthy_plays`	numeric
`no_pressure_grades_offense_penalty`	numeric
`right_medium_accuracy_percent`	numeric
`position`	character	Primary position as reported by NFL.com
`short_def_gen_pressures`	numeric
`center_deep_dropbacks`	numeric
`center_medium_accuracy_percent`	numeric
`blitz_grades_offense`	numeric
`right_behind_los_yards`	numeric
`right_medium_attempts`	numeric
`grades_hands_fumble`	numeric
`left_medium_attempts`	numeric
`npa_epa`	numeric
`no_screen_avg_depth_of_target`	numeric
`medium_accuracy_percent`	numeric
`left_medium_drops`	numeric
`pa_grades_hands_fumble`	numeric
`no_screen_completion_percent`	numeric
`left_short_avg_time_to_throw`	numeric
`pa_hit_as_threw`	numeric
`medium_passing_snaps`	numeric
`center_short_epa`	numeric
`left_behind_los_passing_snaps`	numeric
`left_deep_pressure_to_sack_rate`	numeric
`avg_time_to_throw`	numeric	Average time elapsed from the time of snap to throw on every pass attempt for a passer (sacks excluded).
`pa_grades_offense_penalty`	numeric
`deep_bats`	numeric
`npa_dropbacks_percent`	numeric
`left_medium_passing_snaps`	numeric
`pressure_def_gen_pressures`	numeric
`left_medium_scrambles`	numeric
`npa_grades_pass`	numeric
`pressure_grades_pass`	numeric
`right_deep_completion_percent`	numeric
`big_time_throws`	numeric
`screen_grades_run`	numeric
`left_short_drops`	numeric
`screen_first_downs`	numeric
`npa_completion_percent`	numeric
`left_deep_accuracy_percent`	numeric
`medium_positive_epa_percent`	numeric
`no_blitz_qb_rating`	numeric
`blitz_hit_as_threw`	numeric
`behind_los_turnover_worthy_plays`	numeric
`right_medium_epa`	numeric
`right_deep_dropbacks`	numeric
`deep_ypa`	numeric
`center_medium_completions`	numeric
`left_medium_avg_time_to_throw`	numeric
`left_short_sacks`	numeric
`left_behind_los_spikes`	numeric
`no_screen_grades_run_block`	numeric
`pressure_ypa`	numeric
`left_deep_def_gen_pressures`	numeric
`no_screen_hit_as_threw`	numeric
`center_short_qb_rating`	numeric
`center_deep_interceptions`	numeric
`right_deep_completions`	numeric
`center_behind_los_sacks`	numeric
`screen_turnover_worthy_plays`	numeric
`deep_completions`	numeric
`left_medium_attempts_percent`	numeric
`pressure_avg_time_to_throw`	numeric
`short_yards`	numeric
`behind_los_qb_rating`	numeric
`right_short_sacks`	numeric
`right_behind_los_thrown_aways`	numeric
`center_short_spikes`	numeric
`center_behind_los_hit_as_threw`	numeric
`no_blitz_completions`	numeric
`center_deep_turnover_worthy_plays`	numeric
`left_medium_sack_percent`	numeric
`behind_los_completion_percent`	numeric
`left_deep_attempts_percent`	numeric
`no_pressure_sack_percent`	numeric
`center_deep_big_time_throws`	numeric
`npa_avg_depth_of_target`	numeric
`npa_dropbacks`	numeric
`player`	character	Player name
`left_medium_avg_depth_of_target`	numeric
`no_blitz_accuracy_percent`	numeric
`behind_los_thrown_aways`	numeric
`center_medium_def_gen_pressures`	numeric
`short_avg_time_to_throw`	numeric
`left_deep_twp_rate`	numeric
`center_behind_los_epa`	numeric
`left_behind_los_big_time_throws`	numeric
`pa_drops`	numeric
`no_pressure_pressure_to_sack_rate`	character
`right_medium_yards`	numeric
`pa_btt_rate`	numeric
`no_pressure_turnover_worthy_plays`	numeric
`pressure_first_downs`	numeric
`positive_epa_percent`	numeric
`right_medium_drop_rate`	numeric
`blitz_passing_snaps`	numeric
`center_medium_big_time_throws`	numeric
`franchise_id`	numeric	ESPN franchise identifier.
`left_short_completion_percent`	numeric
`screen_big_time_throws`	numeric
`left_short_drop_rate`	numeric
`left_behind_los_scrambles`	numeric
`left_medium_btt_rate`	numeric
`screen_aimed_passes`	numeric
`right_deep_hit_as_threw`	numeric
`behind_los_bats`	numeric
`no_pressure_twp_rate`	numeric
`npa_touchdowns`	numeric
`no_blitz_sacks`	numeric
`short_first_downs`	numeric
`left_deep_attempts`	numeric
`right_behind_los_attempts`	numeric
`screen_attempts`	numeric
`screen_dropbacks`	numeric
`right_deep_sacks`	numeric
`left_behind_los_attempts_percent`	numeric
`behind_los_big_time_throws`	numeric
`center_deep_pressure_to_sack_rate`	numeric
`left_medium_big_time_throws`	numeric
`right_behind_los_bats`	numeric
`left_medium_def_gen_pressures`	numeric
`no_screen_yards`	numeric
`right_deep_turnover_worthy_plays`	numeric
`left_short_spikes`	numeric
`left_medium_aimed_passes`	numeric
`left_behind_los_twp_rate`	numeric
`short_grades_pass`	numeric
`right_short_drops`	numeric
`right_short_avg_time_to_throw`	numeric
`pa_scrambles`	numeric
`right_medium_thrown_aways`	numeric
`no_pressure_accuracy_percent`	numeric
`center_short_sack_percent`	numeric
`right_short_passing_snaps`	numeric
`center_short_def_gen_pressures`	numeric
`center_medium_positive_epa_percent`	numeric
`medium_drops`	numeric
`center_medium_aimed_passes`	numeric
`center_short_sacks`	numeric
`pa_completion_percent`	numeric
`deep_attempts_percent`	numeric
`center_behind_los_def_gen_pressures`	numeric
`left_short_passing_snaps`	numeric
`center_medium_grades_pass`	numeric
`center_deep_avg_time_to_throw`	numeric
`pa_avg_depth_of_target`	numeric
`pa_interceptions`	numeric
`no_screen_accuracy_percent`	numeric
`behind_los_positive_epa_percent`	numeric
`no_screen_spikes`	numeric
`center_short_completion_percent`	numeric
`pa_dropbacks`	numeric
`left_deep_hit_as_threw`	numeric
`center_short_grades_pass`	numeric
`left_short_attempts_percent`	numeric
`left_deep_scrambles`	numeric
`no_blitz_twp_rate`	numeric
`no_pressure_hit_as_threw`	numeric
`right_short_completions`	numeric
`center_behind_los_aimed_passes`	numeric
`right_short_scrambles`	numeric
`center_medium_qb_rating`	numeric
`no_pressure_grades_pass`	numeric
`npa_big_time_throws`	numeric
`deep_avg_time_to_throw`	numeric
`no_screen_sack_percent`	numeric
`avg_depth_of_target`	numeric
`no_pressure_positive_epa_percent`	numeric
`turnover_worthy_plays`	numeric
`epa`	numeric	Expected points added (EPA) by the posteam for the given play.
`pressure_spikes`	numeric
`pressure_grades_hands_fumble`	numeric
`left_deep_drops`	numeric
`right_behind_los_def_gen_pressures`	numeric
`pa_epa`	numeric
`pressure_qb_rating`	numeric
`center_deep_positive_epa_percent`	numeric
`center_deep_hit_as_threw`	numeric
`no_screen_attempts`	numeric
`pa_passing_snaps`	numeric
`aimed_passes`	numeric
`blitz_bats`	numeric
`pressure_touchdowns`	numeric
`npa_completions`	numeric
`short_spikes`	numeric
`pressure_thrown_aways`	numeric
`right_behind_los_completions`	numeric
`no_blitz_interceptions`	numeric
`center_behind_los_drop_rate`	numeric
`short_drops`	numeric
`deep_aimed_passes`	numeric
`right_medium_avg_depth_of_target`	numeric
`short_pressure_to_sack_rate`	numeric
`screen_touchdowns`	numeric
`center_deep_qb_rating`	numeric
`left_medium_completions`	numeric
`center_deep_sacks`	numeric
`left_deep_big_time_throws`	numeric
`blitz_dropbacks`	numeric
`center_medium_first_downs`	numeric
`center_medium_dropbacks`	numeric
`blitz_def_gen_pressures`	numeric
`npa_first_downs`	numeric
`no_screen_touchdowns`	numeric
`right_deep_def_gen_pressures`	numeric
`left_short_touchdowns`	numeric
`medium_drop_rate`	numeric
`player_id`	numeric	Player ID (aka GSIS ID) as defined by nflreadr::load_rosters
`npa_yards`	numeric
`left_medium_ypa`	numeric
`right_medium_passing_snaps`	numeric
`no_screen_ypa`	numeric
`no_blitz_big_time_throws`	numeric
`center_short_scrambles`	numeric
`npa_turnover_worthy_plays`	numeric
`left_behind_los_turnover_worthy_plays`	numeric
`center_medium_yards`	numeric
`center_deep_epa`	numeric
`npa_interceptions`	numeric
`left_medium_interceptions`	numeric
`right_deep_interceptions`	numeric
`no_pressure_avg_depth_of_target`	numeric
`touchdowns`	numeric
`medium_completion_percent`	numeric
`right_behind_los_grades_pass`	numeric
`deep_positive_epa_percent`	numeric
`no_screen_pressure_to_sack_rate`	numeric
`behind_los_accuracy_percent`	numeric
`center_deep_scrambles`	numeric
`center_short_twp_rate`	numeric
`behind_los_touchdowns`	numeric
`left_medium_qb_rating`	numeric
`no_pressure_yards`	numeric
`screen_sacks`	numeric
`def_gen_pressures`	numeric
`right_medium_completions`	numeric
`right_behind_los_drops`	numeric
`left_behind_los_first_downs`	numeric
`blitz_twp_rate`	numeric
`short_qb_rating`	numeric
`blitz_accuracy_percent`	numeric
`center_medium_btt_rate`	numeric
`no_pressure_big_time_throws`	numeric
`left_deep_grades_pass`	numeric
`no_blitz_grades_pass_block`	numeric
`screen_grades_hands_drop`	numeric
`screen_grades_pass_block`	numeric
`no_screen_grades_pass_block`	numeric
`pressure_grades_pass_route`	numeric
`no_screen_grades_pass_route`	numeric
`pa_grades_hands_drop`	numeric
`blitz_grades_pass_block`	numeric
`screen_grades_pass_route`	numeric
`no_pressure_grades_pass_block`	numeric
`npa_grades_pass_block`	numeric
`pressure_grades_pass_block`	numeric
`pa_grades_pass_block`	numeric
`no_pressure_grades_hands_drop`	numeric
`npa_grades_pass_route`	numeric
`npa_grades_hands_drop`	numeric
`pa_grades_pass_route`	numeric
`blitz_grades_hands_drop`	numeric
`blitz_grades_pass_route`	numeric
`no_screen_grades_hands_drop`	numeric
`no_pressure_grades_pass_route`	numeric
`no_blitz_grades_pass_route`	numeric
`pressure_grades_hands_drop`	numeric
`no_blitz_grades_hands_drop`	numeric
`pa_grades_screen_block`	numeric
`blitz_grades_run_block`	numeric
`screen_grades_screen_block`	numeric
`no_pressure_grades_run_block`	numeric
`no_screen_grades_screen_block`	numeric
`no_blitz_grades_run_block`	numeric
`blitz_grades_screen_block`	numeric
`pressure_grades_screen_block`	numeric
`no_blitz_grades_screen_block`	numeric
`npa_grades_screen_block`	numeric
`pressure_grades_run_block`	numeric
`no_pressure_grades_screen_block`	numeric
`pa_grades_defense_penalty`	character
`screen_grades_run_defense`	character
`npa_grades_defense_penalty`	numeric
`pa_grades_run_defense`	character
`pa_grades_defense`	character
`npa_grades_defense`	numeric
`screen_grades_defense`	character
`screen_grades_defense_penalty`	character
`no_screen_grades_run_defense`	numeric
`no_screen_grades_defense`	numeric
`no_screen_grades_defense_penalty`	numeric
`npa_grades_run_defense`	numeric

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

pff_facet_passing_detail_stats()

Last validated n/a.

`pff_facet_run_blocking`

Facet report /offense/run_blocking (By Position leaderboard; add franchiseId for By Team, gameId for By Game)

Endpoint URL: GET https://premium.pff.com/api/v1/facet/offense/run_blocking

Valid URL: https://premium.pff.com/api/v1/facet/offense/run_blocking

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Week or week-group key (e.g. 'REG', a week number, or a range).
`franchiseId`	`franchise_id`	`Y`	PFF franchise (team) id; filters a report 'By Team'.
`gameId`	`game_id`	`Y`	PFF game id; filters a report 'By Game'.
`division`	`division`	`Y`	Division filter (NCAA).

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
`declined_penalties`	numeric
`draft_season`	numeric
`eligible_season`	numeric
`franchise_id`	numeric	ESPN franchise identifier.
`gap_grades_run_block`	numeric
`gap_run_block_percent`	numeric
`gap_snap_counts_run_block`	numeric
`gap_snap_counts_run_block_percent`	numeric
`gap_snap_counts_run_play`	numeric
`grades_run_block`	numeric
`jersey_number`	character	Jersey number. Often useful for joins by name/team/jersey.
`penalties`	numeric	Total number of penalties.
`player`	character	Player name
`player_game_count`	numeric
`player_id`	numeric	Player ID (aka GSIS ID) as defined by nflreadr::load_rosters
`position`	character	Primary position as reported by NFL.com
`run_block_percent`	numeric
`snap_counts_run_block`	numeric
`snap_counts_run_play`	numeric
`team`	character	NFL team. Uses official abbreviations as per NFL.com
`team_name`	character	Full team display name (e.g. 'Las Vegas Aces').
`zone_grades_run_block`	numeric
`zone_run_block_percent`	numeric
`zone_snap_counts_run_block`	numeric
`zone_snap_counts_run_block_percent`	numeric
`zone_snap_counts_run_play`	numeric

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

pff_facet_run_blocking()

Last validated n/a.

`pff_facet_pass_blocking`

Facet report /offense/pass_blocking (By Position leaderboard; add franchiseId for By Team, gameId for By Game)

Endpoint URL: GET https://premium.pff.com/api/v1/facet/offense/pass_blocking

Valid URL: https://premium.pff.com/api/v1/facet/offense/pass_blocking

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Week or week-group key (e.g. 'REG', a week number, or a range).
`franchiseId`	`franchise_id`	`Y`	PFF franchise (team) id; filters a report 'By Team'.
`gameId`	`game_id`	`Y`	PFF game id; filters a report 'By Game'.
`division`	`division`	`Y`	Division filter (NCAA).

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
`true_pass_set_non_spike_pass_block_percentage`	numeric
`true_pass_set_pressures_allowed`	numeric
`grades_pass_block`	numeric
`true_pass_set_pass_block_percent`	numeric
`pbe`	numeric
`non_spike_pass_block_percentage`	numeric
`draft_season`	numeric
`team_name`	character	Full team display name (e.g. 'Las Vegas Aces').
`jersey_number`	character	Jersey number. Often useful for joins by name/team/jersey.
`hits_allowed`	numeric
`true_pass_set_non_spike_pass_block`	numeric
`player_game_count`	numeric
`eligible_season`	numeric
`hurries_allowed`	numeric
`true_pass_set_hurries_allowed`	numeric
`true_pass_set_snap_counts_pass_play`	numeric
`true_pass_set_hits_allowed`	numeric
`pressures_allowed`	numeric
`true_pass_set_pbe`	numeric
`snap_counts_pass_play`	numeric
`penalties`	numeric	Total number of penalties.
`sacks_allowed`	numeric	Opponent sacks.
`team`	character	NFL team. Uses official abbreviations as per NFL.com
`declined_penalties`	numeric
`position`	character	Primary position as reported by NFL.com
`true_pass_set_grades_pass_block`	numeric
`non_spike_pass_block`	numeric
`true_pass_set_snap_counts_pass_block`	numeric
`player`	character	Player name
`true_pass_set_sacks_allowed`	numeric
`franchise_id`	numeric	ESPN franchise identifier.
`snap_counts_pass_block`	numeric
`pass_block_percent`	numeric
`player_id`	numeric	Player ID (aka GSIS ID) as defined by nflreadr::load_rosters

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

pff_facet_pass_blocking()

Last validated n/a.

`pff_facet_passing_summary`

Facet report /passing/summary (By Position leaderboard; add franchiseId for By Team, gameId for By Game)

Endpoint URL: GET https://premium.pff.com/api/v1/facet/passing/summary

Valid URL: https://premium.pff.com/api/v1/facet/passing/summary

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Week or week-group key (e.g. 'REG', a week number, or a range).
`franchiseId`	`franchise_id`	`Y`	PFF franchise (team) id; filters a report 'By Team'.
`gameId`	`game_id`	`Y`	PFF game id; filters a report 'By Game'.
`division`	`division`	`Y`	Division filter (NCAA).

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
`grades_offense`	numeric	PFF overall offense grade (0-100).
`twp_rate`	numeric	Turnover-worthy-play rate.
`btt_rate`	numeric	Big-time-throw rate.
`spikes`	numeric	Clock-stopping spike plays.
`dropbacks`	numeric	Total quarterback dropbacks.
`thrown_aways`	numeric	Passes intentionally thrown away.
`draft_season`	numeric	Draft class (year) of the player.
`team_name`	character	Team name/abbreviation the player is credited to for the range.
`grades_pass`	numeric	PFF passing grade (0-100).
`hit_as_threw`	numeric	Plays where the quarterback was hit as he threw.
`first_downs`	numeric	Passing first downs.
`jersey_number`	character	Jersey number (string; zero-padded, e.g. "09").
`sack_percent`	numeric	Sack rate (sacks per dropback).
`bats`	numeric	Passes batted at the line.
`sacks`	numeric	Times the passer was sacked.
`player_game_count`	numeric	Games with at least one qualifying dropback in the requested range.
`eligible_season`	numeric	First eligible season for the player.
`completions`	numeric	Completed passes by the passer.
`yards`	numeric	Total passing yards gained.
`accuracy_percent`	numeric	Charted accuracy percentage.
`scrambles`	numeric	Scramble plays.
`interceptions`	numeric	Interceptions thrown.
`drop_rate`	numeric	Receiver drop rate on the quarterback's throws.
`grades_run`	numeric	PFF rushing grade (0-100).
`qb_rating`	numeric	NFL passer rating.
`completion_percent`	numeric	Completion percentage.
`penalties`	numeric	Penalties charged.
`attempts`	numeric	Pass attempts thrown by the passer.
`team`	character	Team abbreviation the player is credited to for the range.
`declined_penalties`	numeric	Declined penalties.
`passing_snaps`	numeric
`pressure_to_sack_rate`	numeric
`ypa`	numeric
`drops`	numeric	Throws dropped
`position`	character	Primary position as reported by NFL.com
`grades_hands_fumble`	numeric
`avg_time_to_throw`	numeric	Average time elapsed from the time of snap to throw on every pass attempt for a passer (sacks excluded).
`big_time_throws`	numeric
`player`	character	Player name
`positive_epa_percent`	numeric
`franchise_id`	numeric	PFF franchise (team) id (integer join key).
`avg_depth_of_target`	numeric
`turnover_worthy_plays`	numeric
`epa`	numeric	Expected points added (EPA) by the posteam for the given play.
`aimed_passes`	numeric
`player_id`	numeric	PFF player id (integer; matches the /players id and every player_id join key).
`touchdowns`	numeric
`def_gen_pressures`	numeric

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

pff_facet_passing_summary()

Last validated n/a.

`pff_facet_punting_summary`

Facet report /punting/summary (By Position leaderboard; add franchiseId for By Team, gameId for By Game)

Endpoint URL: GET https://premium.pff.com/api/v1/facet/punting/summary

Valid URL: https://premium.pff.com/api/v1/facet/punting/summary

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Week or week-group key (e.g. 'REG', a week number, or a range).
`franchiseId`	`franchise_id`	`Y`	PFF franchise (team) id; filters a report 'By Team'.
`gameId`	`game_id`	`Y`	PFF game id; filters a report 'By Game'.
`division`	`division`	`Y`	Division filter (NCAA).

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
`touchbacks`	numeric
`attempts_with_hangtime`	numeric
`draft_season`	numeric
`percent_returned`	numeric
`fair_catches`	numeric
`team_name`	character	Full team display name (e.g. 'Las Vegas Aces').
`jersey_number`	character	Jersey number. Often useful for joins by name/team/jersey.
`player_game_count`	numeric
`eligible_season`	numeric
`average_net_yards`	numeric
`yards`	numeric	The number of receiving yards
`average_hangtime`	numeric
`total_net_yards`	numeric
`penalties`	numeric	Total number of penalties.
`attempts`	numeric	The number of pass attempts as defined by the NFL.
`inside_twenties`	numeric
`out_of_bounds`	numeric	1 if play description contains ran ob, pushed ob, or sacked ob; 0 otherwise.
`team`	character	NFL team. Uses official abbreviations as per NFL.com
`average_yards_per_return`	numeric
`total_hangtime`	numeric
`declined_penalties`	numeric
`returns`	numeric
`position`	character	Primary position as reported by NFL.com
`long`	numeric
`blocks`	numeric	Total blocks.
`average_yards_per_attempt`	numeric
`player`	character	Player name
`franchise_id`	numeric	ESPN franchise identifier.
`grades_punter`	numeric
`return_yards`	numeric	Yards gained by the return team. Returns may occur on any of: interception, fumble, kickoff, punt, or blocked kicks.
`downeds`	numeric
`player_id`	numeric	Player ID (aka GSIS ID) as defined by nflreadr::load_rosters
`snaps`	numeric

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

pff_facet_punting_summary()

Last validated n/a.

`pff_facet_passing_depth`

Facet report /passing/depth (By Position leaderboard; add franchiseId for By Team, gameId for By Game)

Endpoint URL: GET https://premium.pff.com/api/v1/facet/passing/depth

Valid URL: https://premium.pff.com/api/v1/facet/passing/depth

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Week or week-group key (e.g. 'REG', a week number, or a range).
`franchiseId`	`franchise_id`	`Y`	PFF franchise (team) id; filters a report 'By Team'.
`gameId`	`game_id`	`Y`	PFF game id; filters a report 'By Game'.
`division`	`division`	`Y`	Division filter (NCAA).

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
`left_behind_los_accuracy_percent`	numeric
`left_short_scrambles`	numeric
`center_short_first_downs`	numeric
`right_short_bats`	numeric
`right_behind_los_positive_epa_percent`	numeric
`left_behind_los_completions`	numeric
`left_medium_dropbacks`	numeric
`right_medium_grades_pass`	numeric
`right_medium_hit_as_threw`	numeric
`behind_los_attempts_percent`	numeric
`right_short_turnover_worthy_plays`	numeric
`right_medium_qb_rating`	numeric
`deep_twp_rate`	numeric
`center_medium_sacks`	numeric
`medium_interceptions`	numeric
`left_deep_completions`	numeric
`behind_los_spikes`	numeric
`medium_aimed_passes`	numeric
`center_behind_los_drops`	numeric
`center_behind_los_interceptions`	numeric
`behind_los_dropbacks`	numeric
`left_behind_los_interceptions`	numeric
`left_deep_first_downs`	numeric
`deep_passing_snaps`	numeric
`center_short_btt_rate`	numeric
`center_medium_thrown_aways`	numeric
`center_deep_avg_depth_of_target`	numeric
`center_short_drops`	numeric
`center_deep_first_downs`	numeric
`left_medium_completion_percent`	numeric
`center_deep_attempts`	numeric
`center_behind_los_attempts`	numeric
`right_short_positive_epa_percent`	numeric
`center_deep_aimed_passes`	numeric
`right_deep_grades_pass`	numeric
`right_medium_big_time_throws`	numeric
`deep_sack_percent`	numeric
`center_medium_pressure_to_sack_rate`	numeric
`deep_sacks`	numeric
`right_medium_ypa`	numeric
`left_deep_drop_rate`	numeric
`right_medium_attempts_percent`	numeric
`right_deep_btt_rate`	numeric
`center_short_attempts_percent`	numeric
`deep_drops`	numeric
`center_behind_los_big_time_throws`	numeric
`center_behind_los_touchdowns`	numeric
`right_behind_los_twp_rate`	numeric
`center_deep_completions`	numeric
`center_short_attempts`	numeric
`left_behind_los_sack_percent`	numeric
`center_short_pressure_to_sack_rate`	numeric
`deep_touchdowns`	numeric
`center_behind_los_accuracy_percent`	numeric
`center_deep_drop_rate`	numeric
`right_short_first_downs`	numeric
`right_behind_los_first_downs`	numeric
`short_interceptions`	numeric
`center_medium_scrambles`	numeric
`left_behind_los_sacks`	numeric
`left_short_ypa`	numeric
`left_short_qb_rating`	numeric
`right_behind_los_qb_rating`	numeric
`draft_season`	numeric
`right_behind_los_dropbacks`	numeric
`behind_los_def_gen_pressures`	numeric
`right_short_thrown_aways`	numeric
`deep_def_gen_pressures`	numeric
`right_short_btt_rate`	numeric
`center_behind_los_positive_epa_percent`	numeric
`left_behind_los_grades_pass`	numeric
`deep_grades_pass`	numeric
`center_short_turnover_worthy_plays`	numeric
`center_behind_los_scrambles`	numeric
`right_short_aimed_passes`	numeric
`center_short_dropbacks`	numeric
`medium_epa`	numeric
`right_short_ypa`	numeric
`center_medium_ypa`	numeric
`medium_attempts`	numeric
`right_deep_accuracy_percent`	numeric
`behind_los_scrambles`	numeric
`center_behind_los_completion_percent`	numeric
`left_behind_los_btt_rate`	numeric
`right_behind_los_btt_rate`	numeric
`team_name`	character	Full team display name (e.g. 'Las Vegas Aces').
`short_touchdowns`	numeric
`center_medium_drops`	numeric
`left_behind_los_aimed_passes`	numeric
`deep_attempts`	numeric
`right_behind_los_sack_percent`	numeric
`center_short_positive_epa_percent`	numeric
`deep_avg_depth_of_target`	numeric
`left_deep_btt_rate`	numeric
`medium_scrambles`	numeric
`center_behind_los_avg_depth_of_target`	numeric
`short_attempts_percent`	numeric
`right_behind_los_sacks`	numeric
`center_medium_avg_time_to_throw`	numeric
`left_short_pressure_to_sack_rate`	numeric
`center_deep_sack_percent`	numeric
`center_deep_ypa`	numeric
`left_behind_los_hit_as_threw`	numeric
`medium_big_time_throws`	numeric
`deep_thrown_aways`	numeric
`right_short_accuracy_percent`	numeric
`left_deep_turnover_worthy_plays`	numeric
`center_medium_bats`	numeric
`right_short_grades_pass`	numeric
`right_deep_spikes`	numeric
`left_deep_passing_snaps`	numeric
`center_medium_twp_rate`	numeric
`right_behind_los_passing_snaps`	numeric
`left_deep_qb_rating`	numeric
`right_deep_drop_rate`	numeric
`left_behind_los_drop_rate`	numeric
`left_medium_drop_rate`	numeric
`right_deep_attempts`	numeric
`left_deep_spikes`	numeric
`center_behind_los_dropbacks`	numeric
`right_deep_big_time_throws`	numeric
`medium_hit_as_threw`	numeric
`right_short_dropbacks`	numeric
`medium_def_gen_pressures`	numeric
`jersey_number`	character	Jersey number. Often useful for joins by name/team/jersey.
`left_short_positive_epa_percent`	numeric
`left_short_attempts`	numeric
`center_deep_twp_rate`	numeric
`right_medium_avg_time_to_throw`	numeric
`left_behind_los_qb_rating`	numeric
`left_behind_los_dropbacks`	numeric
`deep_dropbacks`	numeric
`right_behind_los_scrambles`	numeric
`behind_los_interceptions`	numeric
`right_deep_drops`	numeric
`right_deep_yards`	numeric
`right_short_hit_as_threw`	numeric
`right_short_avg_depth_of_target`	numeric
`short_bats`	numeric
`right_deep_twp_rate`	numeric
`right_behind_los_pressure_to_sack_rate`	numeric
`deep_spikes`	numeric
`center_medium_spikes`	numeric
`behind_los_aimed_passes`	numeric
`right_behind_los_touchdowns`	numeric
`right_medium_pressure_to_sack_rate`	numeric
`medium_thrown_aways`	numeric
`short_sacks`	numeric
`center_behind_los_twp_rate`	numeric
`left_behind_los_attempts`	numeric
`short_aimed_passes`	numeric
`short_completions`	numeric
`right_short_pressure_to_sack_rate`	numeric
`medium_avg_depth_of_target`	numeric
`left_behind_los_positive_epa_percent`	numeric
`center_medium_attempts_percent`	numeric
`left_medium_touchdowns`	numeric
`center_short_bats`	numeric
`left_deep_avg_time_to_throw`	numeric
`center_behind_los_passing_snaps`	numeric
`center_short_yards`	numeric
`right_medium_btt_rate`	numeric
`right_medium_scrambles`	numeric
`medium_btt_rate`	numeric
`center_behind_los_btt_rate`	numeric
`center_short_avg_depth_of_target`	numeric
`left_medium_sacks`	numeric
`right_short_yards`	numeric
`left_medium_first_downs`	numeric
`right_medium_positive_epa_percent`	numeric
`left_short_big_time_throws`	numeric
`deep_turnover_worthy_plays`	numeric
`left_deep_bats`	numeric
`left_medium_turnover_worthy_plays`	numeric
`base_dropbacks`	numeric
`center_deep_drops`	numeric
`center_medium_avg_depth_of_target`	numeric
`center_behind_los_ypa`	numeric
`right_short_attempts`	numeric
`center_medium_completion_percent`	numeric
`right_short_sack_percent`	numeric
`left_behind_los_avg_depth_of_target`	numeric
`center_medium_epa`	numeric
`center_behind_los_sack_percent`	numeric
`medium_completions`	numeric
`medium_sack_percent`	numeric
`left_short_grades_pass`	numeric
`deep_btt_rate`	numeric
`left_short_accuracy_percent`	numeric
`short_twp_rate`	numeric
`short_passing_snaps`	numeric
`left_deep_sacks`	numeric
`short_scrambles`	numeric
`center_medium_turnover_worthy_plays`	numeric
`behind_los_drop_rate`	numeric
`right_behind_los_epa`	numeric
`right_medium_aimed_passes`	numeric
`short_accuracy_percent`	numeric
`player_game_count`	numeric
`short_btt_rate`	numeric
`right_short_touchdowns`	numeric
`center_short_completions`	numeric
`right_short_spikes`	numeric
`behind_los_first_downs`	numeric
`right_medium_def_gen_pressures`	numeric
`deep_pressure_to_sack_rate`	numeric
`medium_qb_rating`	numeric
`short_completion_percent`	numeric
`right_deep_attempts_percent`	numeric
`eligible_season`	numeric
`short_big_time_throws`	numeric
`behind_los_attempts`	numeric
`center_behind_los_yards`	numeric
`center_behind_los_bats`	numeric
`center_behind_los_qb_rating`	numeric
`right_deep_pressure_to_sack_rate`	numeric
`center_short_accuracy_percent`	numeric
`left_behind_los_bats`	numeric
`center_deep_passing_snaps`	numeric
`right_behind_los_hit_as_threw`	numeric
`medium_bats`	numeric
`right_medium_first_downs`	numeric
`medium_spikes`	numeric
`left_deep_thrown_aways`	numeric
`right_deep_epa`	numeric
`center_medium_hit_as_threw`	numeric
`left_behind_los_completion_percent`	numeric
`center_short_ypa`	numeric
`right_short_drop_rate`	numeric
`right_behind_los_accuracy_percent`	numeric
`left_short_yards`	numeric
`deep_accuracy_percent`	numeric
`right_behind_los_avg_depth_of_target`	numeric
`center_behind_los_thrown_aways`	numeric
`center_behind_los_attempts_percent`	numeric
`right_deep_first_downs`	numeric
`left_short_completions`	numeric
`deep_completion_percent`	numeric
`left_deep_positive_epa_percent`	numeric
`right_deep_sack_percent`	numeric
`behind_los_pressure_to_sack_rate`	numeric
`right_deep_touchdowns`	numeric
`left_behind_los_def_gen_pressures`	numeric
`left_behind_los_drops`	numeric
`deep_epa`	numeric
`left_deep_ypa`	numeric
`medium_touchdowns`	numeric
`left_medium_grades_pass`	numeric
`right_behind_los_spikes`	numeric
`medium_grades_pass`	numeric
`behind_los_passing_snaps`	numeric
`left_short_first_downs`	numeric
`center_short_passing_snaps`	numeric
`center_deep_accuracy_percent`	numeric
`right_deep_positive_epa_percent`	numeric
`right_medium_sack_percent`	numeric
`right_deep_qb_rating`	numeric
`right_short_completion_percent`	numeric
`right_behind_los_interceptions`	numeric
`behind_los_yards`	numeric
`center_behind_los_grades_pass`	numeric
`left_deep_dropbacks`	numeric
`center_behind_los_spikes`	numeric
`right_behind_los_aimed_passes`	numeric
`left_short_interceptions`	numeric
`right_medium_interceptions`	numeric
`left_behind_los_yards`	numeric
`center_deep_btt_rate`	numeric
`medium_first_downs`	numeric
`left_short_avg_depth_of_target`	numeric
`left_behind_los_ypa`	numeric
`short_attempts`	numeric
`right_medium_bats`	numeric
`left_behind_los_touchdowns`	numeric
`right_medium_dropbacks`	numeric
`short_turnover_worthy_plays`	numeric
`right_deep_thrown_aways`	numeric
`right_behind_los_drop_rate`	numeric
`right_short_qb_rating`	numeric
`medium_sacks`	numeric
`center_deep_attempts_percent`	numeric
`left_short_dropbacks`	numeric
`behind_los_drops`	numeric
`short_sack_percent`	numeric
`left_medium_spikes`	numeric
`left_medium_accuracy_percent`	numeric
`behind_los_completions`	numeric
`behind_los_sack_percent`	numeric
`left_deep_yards`	numeric
`left_short_aimed_passes`	numeric
`center_behind_los_completions`	numeric
`left_short_thrown_aways`	numeric
`left_short_sack_percent`	numeric
`center_short_thrown_aways`	numeric
`center_short_interceptions`	numeric
`short_avg_depth_of_target`	numeric
`left_deep_touchdowns`	numeric
`deep_yards`	numeric
`center_behind_los_turnover_worthy_plays`	numeric
`medium_ypa`	numeric
`left_medium_epa`	numeric
`left_deep_avg_depth_of_target`	numeric
`deep_first_downs`	numeric
`short_drop_rate`	numeric
`left_medium_bats`	numeric
`center_deep_spikes`	numeric
`center_short_hit_as_threw`	numeric
`left_medium_positive_epa_percent`	numeric
`center_deep_touchdowns`	numeric
`right_deep_ypa`	numeric
`right_short_big_time_throws`	numeric
`center_short_big_time_throws`	numeric
`short_positive_epa_percent`	numeric
`left_behind_los_avg_time_to_throw`	numeric
`right_deep_passing_snaps`	numeric
`right_short_twp_rate`	numeric
`center_medium_attempts`	numeric
`right_deep_avg_time_to_throw`	numeric
`center_deep_def_gen_pressures`	numeric
`behind_los_epa`	numeric
`right_medium_twp_rate`	numeric
`right_deep_aimed_passes`	numeric
`right_deep_scrambles`	numeric
`deep_big_time_throws`	numeric
`left_short_turnover_worthy_plays`	numeric
`center_short_touchdowns`	numeric
`right_medium_drops`	numeric
`left_deep_epa`	numeric
`short_ypa`	numeric
`medium_pressure_to_sack_rate`	numeric
`left_medium_thrown_aways`	numeric
`right_behind_los_avg_time_to_throw`	numeric
`behind_los_btt_rate`	numeric
`medium_avg_time_to_throw`	numeric
`center_deep_completion_percent`	numeric
`behind_los_avg_time_to_throw`	numeric
`right_medium_touchdowns`	numeric
`center_short_avg_time_to_throw`	numeric
`left_deep_aimed_passes`	numeric
`left_medium_yards`	numeric
`center_medium_touchdowns`	numeric
`center_short_drop_rate`	numeric
`left_short_twp_rate`	numeric
`penalties`	numeric	Total number of penalties.
`right_behind_los_attempts_percent`	numeric
`right_deep_avg_depth_of_target`	numeric
`behind_los_sacks`	numeric
`center_deep_yards`	numeric
`short_dropbacks`	numeric
`left_deep_sack_percent`	numeric
`center_behind_los_avg_time_to_throw`	numeric
`behind_los_avg_depth_of_target`	numeric
`left_behind_los_epa`	numeric
`medium_twp_rate`	numeric
`left_short_def_gen_pressures`	numeric
`medium_turnover_worthy_plays`	numeric
`behind_los_twp_rate`	numeric
`left_behind_los_thrown_aways`	numeric
`left_short_bats`	numeric
`center_medium_drop_rate`	numeric
`right_deep_bats`	numeric
`medium_yards`	numeric
`center_deep_grades_pass`	numeric
`center_medium_passing_snaps`	numeric
`center_behind_los_first_downs`	numeric
`center_medium_interceptions`	numeric
`behind_los_grades_pass`	numeric
`left_short_hit_as_threw`	numeric
`deep_qb_rating`	numeric
`center_deep_bats`	numeric
`behind_los_ypa`	numeric
`right_short_interceptions`	numeric
`left_deep_interceptions`	numeric
`right_medium_sacks`	numeric
`right_behind_los_turnover_worthy_plays`	numeric
`team`	character	NFL team. Uses official abbreviations as per NFL.com
`right_medium_spikes`	numeric
`behind_los_hit_as_threw`	numeric
`left_medium_pressure_to_sack_rate`	numeric
`medium_dropbacks`	numeric
`deep_hit_as_threw`	numeric
`right_medium_completion_percent`	numeric
`short_epa`	numeric
`deep_drop_rate`	numeric
`declined_penalties`	numeric
`deep_scrambles`	numeric
`left_deep_completion_percent`	numeric
`right_short_epa`	numeric
`medium_attempts_percent`	numeric
`right_behind_los_completion_percent`	numeric
`left_medium_hit_as_threw`	numeric
`left_behind_los_pressure_to_sack_rate`	numeric
`right_short_def_gen_pressures`	numeric
`right_short_attempts_percent`	numeric
`center_short_aimed_passes`	numeric
`short_hit_as_threw`	numeric
`right_medium_turnover_worthy_plays`	numeric
`left_short_epa`	numeric
`center_behind_los_pressure_to_sack_rate`	numeric
`right_behind_los_ypa`	numeric
`deep_interceptions`	numeric
`left_medium_twp_rate`	numeric
`right_behind_los_big_time_throws`	numeric
`center_medium_sack_percent`	numeric
`center_deep_thrown_aways`	numeric
`short_thrown_aways`	numeric
`left_short_btt_rate`	numeric
`right_medium_accuracy_percent`	numeric
`position`	character	Primary position as reported by NFL.com
`short_def_gen_pressures`	numeric
`center_deep_dropbacks`	numeric
`center_medium_accuracy_percent`	numeric
`right_behind_los_yards`	numeric
`right_medium_attempts`	numeric
`left_medium_attempts`	numeric
`medium_accuracy_percent`	numeric
`left_medium_drops`	numeric
`left_short_avg_time_to_throw`	numeric
`medium_passing_snaps`	numeric
`center_short_epa`	numeric
`left_behind_los_passing_snaps`	numeric
`left_deep_pressure_to_sack_rate`	numeric
`deep_bats`	numeric
`left_medium_passing_snaps`	numeric
`left_medium_scrambles`	numeric
`right_deep_completion_percent`	numeric
`left_short_drops`	numeric
`left_deep_accuracy_percent`	numeric
`medium_positive_epa_percent`	numeric
`behind_los_turnover_worthy_plays`	numeric
`right_medium_epa`	numeric
`right_deep_dropbacks`	numeric
`deep_ypa`	numeric
`center_medium_completions`	numeric
`left_medium_avg_time_to_throw`	numeric
`left_short_sacks`	numeric
`left_behind_los_spikes`	numeric
`left_deep_def_gen_pressures`	numeric
`center_short_qb_rating`	numeric
`center_deep_interceptions`	numeric
`right_deep_completions`	numeric
`center_behind_los_sacks`	numeric
`deep_completions`	numeric
`left_medium_attempts_percent`	numeric
`short_yards`	numeric
`behind_los_qb_rating`	numeric
`right_short_sacks`	numeric
`right_behind_los_thrown_aways`	numeric
`base_attempts`	numeric
`center_short_spikes`	numeric
`center_behind_los_hit_as_threw`	numeric
`center_deep_turnover_worthy_plays`	numeric
`left_medium_sack_percent`	numeric
`behind_los_completion_percent`	numeric
`left_deep_attempts_percent`	numeric
`center_deep_big_time_throws`	numeric
`player`	character	Player name
`left_medium_avg_depth_of_target`	numeric
`behind_los_thrown_aways`	numeric
`center_medium_def_gen_pressures`	numeric
`short_avg_time_to_throw`	numeric
`left_deep_twp_rate`	numeric
`center_behind_los_epa`	numeric
`left_behind_los_big_time_throws`	numeric
`right_medium_yards`	numeric
`right_medium_drop_rate`	numeric
`center_medium_big_time_throws`	numeric
`franchise_id`	numeric	ESPN franchise identifier.
`left_short_completion_percent`	numeric
`left_short_drop_rate`	numeric
`left_behind_los_scrambles`	numeric
`left_medium_btt_rate`	numeric
`right_deep_hit_as_threw`	numeric
`behind_los_bats`	numeric
`short_first_downs`	numeric
`left_deep_attempts`	numeric
`right_behind_los_attempts`	numeric
`right_deep_sacks`	numeric
`left_behind_los_attempts_percent`	numeric
`behind_los_big_time_throws`	numeric
`center_deep_pressure_to_sack_rate`	numeric
`left_medium_big_time_throws`	numeric
`right_behind_los_bats`	numeric
`left_medium_def_gen_pressures`	numeric
`right_deep_turnover_worthy_plays`	numeric
`left_short_spikes`	numeric
`left_medium_aimed_passes`	numeric
`left_behind_los_twp_rate`	numeric
`short_grades_pass`	numeric
`right_short_drops`	numeric
`right_short_avg_time_to_throw`	numeric
`right_medium_thrown_aways`	numeric
`center_short_sack_percent`	numeric
`right_short_passing_snaps`	numeric
`center_short_def_gen_pressures`	numeric
`center_medium_positive_epa_percent`	numeric
`medium_drops`	numeric
`center_medium_aimed_passes`	numeric
`center_short_sacks`	numeric
`deep_attempts_percent`	numeric
`center_behind_los_def_gen_pressures`	numeric
`left_short_passing_snaps`	numeric
`center_medium_grades_pass`	numeric
`center_deep_avg_time_to_throw`	numeric
`behind_los_positive_epa_percent`	numeric
`center_short_completion_percent`	numeric
`left_deep_hit_as_threw`	numeric
`center_short_grades_pass`	numeric
`left_short_attempts_percent`	numeric
`left_deep_scrambles`	numeric
`right_short_completions`	numeric
`center_behind_los_aimed_passes`	numeric
`right_short_scrambles`	numeric
`center_medium_qb_rating`	numeric
`deep_avg_time_to_throw`	numeric
`left_deep_drops`	numeric
`right_behind_los_def_gen_pressures`	numeric
`center_deep_positive_epa_percent`	numeric
`center_deep_hit_as_threw`	numeric
`short_spikes`	numeric
`right_behind_los_completions`	numeric
`center_behind_los_drop_rate`	numeric
`short_drops`	numeric
`deep_aimed_passes`	numeric
`right_medium_avg_depth_of_target`	numeric
`short_pressure_to_sack_rate`	numeric
`center_deep_qb_rating`	numeric
`left_medium_completions`	numeric
`center_deep_sacks`	numeric
`left_deep_big_time_throws`	numeric
`center_medium_first_downs`	numeric
`center_medium_dropbacks`	numeric
`right_deep_def_gen_pressures`	numeric
`left_short_touchdowns`	numeric
`medium_drop_rate`	numeric
`player_id`	numeric	Player ID (aka GSIS ID) as defined by nflreadr::load_rosters
`left_medium_ypa`	numeric
`right_medium_passing_snaps`	numeric
`center_short_scrambles`	numeric
`left_behind_los_turnover_worthy_plays`	numeric
`center_medium_yards`	numeric
`center_deep_epa`	numeric
`left_medium_interceptions`	numeric
`right_deep_interceptions`	numeric
`medium_completion_percent`	numeric
`right_behind_los_grades_pass`	numeric
`deep_positive_epa_percent`	numeric
`behind_los_accuracy_percent`	numeric
`center_deep_scrambles`	numeric
`center_short_twp_rate`	numeric
`behind_los_touchdowns`	numeric
`left_medium_qb_rating`	numeric
`right_medium_completions`	numeric
`right_behind_los_drops`	numeric
`left_behind_los_first_downs`	numeric
`short_qb_rating`	numeric
`center_medium_btt_rate`	numeric
`left_deep_grades_pass`	numeric

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

pff_facet_passing_depth()

Last validated n/a.

`pff_facet_passing_pressure`

Facet report /passing/pressure (By Position leaderboard; add franchiseId for By Team, gameId for By Game)

Endpoint URL: GET https://premium.pff.com/api/v1/facet/passing/pressure

Valid URL: https://premium.pff.com/api/v1/facet/passing/pressure

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Week or week-group key (e.g. 'REG', a week number, or a range).
`franchiseId`	`franchise_id`	`Y`	PFF franchise (team) id; filters a report 'By Team'.
`gameId`	`game_id`	`Y`	PFF game id; filters a report 'By Game'.
`division`	`division`	`Y`	Division filter (NCAA).

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
`no_blitz_completion_percent`	numeric
`grades_offense`	numeric
`no_pressure_scrambles`	numeric
`blitz_touchdowns`	numeric
`pressure_yards`	numeric
`no_pressure_spikes`	numeric
`blitz_ypa`	numeric
`no_blitz_grades_run`	numeric
`blitz_qb_rating`	numeric
`no_pressure_thrown_aways`	numeric
`no_blitz_bats`	numeric
`no_blitz_drops`	numeric
`no_pressure_completion_percent`	numeric
`blitz_aimed_passes`	numeric
`pressure_grades_run`	numeric
`no_blitz_sack_percent`	numeric
`no_pressure_bats`	numeric
`pressure_completions`	numeric
`blitz_big_time_throws`	numeric
`no_blitz_drop_rate`	numeric
`blitz_spikes`	numeric
`no_pressure_completions`	numeric
`draft_season`	numeric
`no_pressure_passing_snaps`	numeric
`no_blitz_first_downs`	numeric
`blitz_avg_time_to_throw`	numeric
`no_pressure_grades_hands_fumble`	numeric
`pressure_aimed_passes`	numeric
`blitz_sacks`	numeric
`no_pressure_interceptions`	numeric
`team_name`	character	Full team display name (e.g. 'Las Vegas Aces').
`pressure_epa`	numeric
`blitz_completions`	numeric
`blitz_attempts`	numeric
`pressure_twp_rate`	numeric
`pressure_sacks`	numeric
`no_blitz_pressure_to_sack_rate`	numeric
`no_pressure_ypa`	numeric
`pressure_passing_snaps`	numeric
`grades_pass`	numeric
`pressure_bats`	numeric
`blitz_thrown_aways`	numeric
`no_pressure_drops`	numeric
`jersey_number`	character	Jersey number. Often useful for joins by name/team/jersey.
`pressure_grades_offense_penalty`	numeric
`pressure_scrambles`	numeric
`blitz_drop_rate`	numeric
`pressure_grades_pass_route`	numeric
`blitz_completion_percent`	numeric
`no_pressure_first_downs`	numeric
`blitz_grades_offense_penalty`	numeric
`no_blitz_epa`	numeric
`blitz_interceptions`	numeric
`no_blitz_dropbacks`	numeric
`no_blitz_grades_pass`	numeric
`no_blitz_scrambles`	numeric
`pressure_drop_rate`	numeric
`no_blitz_yards`	numeric
`base_dropbacks`	numeric
`pressure_pressure_to_sack_rate`	numeric
`no_blitz_grades_hands_fumble`	numeric
`no_pressure_grades_offense`	numeric
`no_pressure_avg_time_to_throw`	numeric
`pressure_dropbacks`	numeric
`no_blitz_grades_offense_penalty`	numeric
`no_pressure_grades_run`	numeric
`player_game_count`	numeric
`blitz_turnover_worthy_plays`	numeric
`no_blitz_touchdowns`	numeric
`no_blitz_avg_depth_of_target`	numeric
`no_pressure_dropbacks_percent`	numeric
`blitz_grades_pass`	numeric
`eligible_season`	numeric
`blitz_avg_depth_of_target`	numeric
`no_blitz_spikes`	numeric
`no_pressure_dropbacks`	numeric
`blitz_btt_rate`	numeric
`blitz_positive_epa_percent`	numeric
`no_pressure_btt_rate`	numeric
`no_pressure_drop_rate`	numeric
`no_blitz_turnover_worthy_plays`	numeric
`pressure_positive_epa_percent`	numeric
`blitz_first_downs`	numeric
`no_blitz_dropbacks_percent`	numeric
`pressure_turnover_worthy_plays`	numeric
`no_pressure_epa`	numeric
`no_blitz_avg_time_to_throw`	numeric
`no_blitz_positive_epa_percent`	numeric
`pressure_btt_rate`	numeric
`no_pressure_aimed_passes`	numeric
`pressure_dropbacks_percent`	numeric
`grades_run`	numeric
`no_pressure_def_gen_pressures`	numeric
`pressure_grades_offense`	numeric
`pressure_completion_percent`	numeric
`pressure_avg_depth_of_target`	numeric
`blitz_epa`	numeric
`pressure_drops`	numeric
`no_blitz_def_gen_pressures`	numeric
`pressure_attempts`	numeric
`pressure_big_time_throws`	numeric
`no_blitz_thrown_aways`	numeric
`blitz_drops`	numeric
`no_pressure_touchdowns`	numeric
`no_pressure_sacks`	numeric
`blitz_sack_percent`	numeric
`pressure_sack_percent`	numeric
`penalties`	numeric	Total number of penalties.
`no_pressure_attempts`	numeric
`no_blitz_grades_offense`	numeric
`blitz_scrambles`	numeric
`blitz_dropbacks_percent`	numeric
`no_pressure_qb_rating`	numeric
`no_blitz_passing_snaps`	numeric
`no_blitz_aimed_passes`	numeric
`blitz_yards`	numeric
`team`	character	NFL team. Uses official abbreviations as per NFL.com
`no_blitz_attempts`	numeric
`pressure_accuracy_percent`	numeric
`no_blitz_hit_as_threw`	numeric
`pressure_hit_as_threw`	numeric
`blitz_pressure_to_sack_rate`	numeric
`declined_penalties`	numeric
`no_blitz_btt_rate`	numeric
`no_blitz_ypa`	numeric
`blitz_grades_run`	numeric
`pressure_interceptions`	numeric
`blitz_grades_hands_fumble`	numeric
`no_pressure_grades_offense_penalty`	numeric
`position`	character	Primary position as reported by NFL.com
`blitz_grades_offense`	numeric
`grades_hands_fumble`	numeric
`pressure_def_gen_pressures`	numeric
`pressure_grades_pass`	numeric
`no_blitz_qb_rating`	numeric
`blitz_hit_as_threw`	numeric
`pressure_ypa`	numeric
`blitz_grades_pass_route`	numeric
`pressure_avg_time_to_throw`	numeric
`no_blitz_completions`	numeric
`no_pressure_grades_pass_route`	numeric
`no_pressure_sack_percent`	numeric
`player`	character	Player name
`no_blitz_accuracy_percent`	numeric
`no_pressure_pressure_to_sack_rate`	character
`no_pressure_turnover_worthy_plays`	numeric
`pressure_first_downs`	numeric
`blitz_passing_snaps`	numeric
`franchise_id`	numeric	ESPN franchise identifier.
`no_pressure_twp_rate`	numeric
`no_blitz_sacks`	numeric
`no_blitz_grades_pass_route`	numeric
`no_pressure_accuracy_percent`	numeric
`no_blitz_twp_rate`	numeric
`no_pressure_hit_as_threw`	numeric
`no_pressure_grades_pass`	numeric
`no_pressure_positive_epa_percent`	numeric
`pressure_spikes`	numeric
`pressure_grades_hands_fumble`	numeric
`pressure_qb_rating`	numeric
`blitz_bats`	numeric
`pressure_touchdowns`	numeric
`pressure_thrown_aways`	numeric
`no_blitz_interceptions`	numeric
`blitz_dropbacks`	numeric
`blitz_def_gen_pressures`	numeric
`player_id`	numeric	Player ID (aka GSIS ID) as defined by nflreadr::load_rosters
`no_blitz_big_time_throws`	numeric
`no_pressure_avg_depth_of_target`	numeric
`no_pressure_yards`	numeric
`blitz_twp_rate`	numeric
`blitz_accuracy_percent`	numeric
`no_pressure_big_time_throws`	numeric
`no_blitz_grades_pass_block`	numeric
`blitz_grades_pass_block`	numeric
`no_pressure_grades_pass_block`	numeric
`pressure_grades_pass_block`	numeric
`no_pressure_grades_hands_drop`	numeric
`blitz_grades_hands_drop`	numeric
`pressure_grades_hands_drop`	numeric
`no_blitz_grades_hands_drop`	numeric
`blitz_grades_run_block`	numeric
`no_pressure_grades_run_block`	numeric
`no_blitz_grades_run_block`	numeric
`blitz_grades_screen_block`	numeric
`pressure_grades_screen_block`	numeric
`no_blitz_grades_screen_block`	numeric
`pressure_grades_run_block`	numeric
`no_pressure_grades_screen_block`	numeric
`pressure_grades_coverage_defense`	numeric
`pressure_grades_defense`	numeric
`no_blitz_grades_defense`	numeric
`no_blitz_grades_defense_penalty`	numeric
`blitz_grades_coverage_defense`	numeric
`no_pressure_grades_defense`	numeric
`no_pressure_grades_defense_penalty`	numeric
`no_blitz_grades_coverage_defense`	numeric
`blitz_grades_defense`	numeric
`blitz_grades_defense_penalty`	numeric
`no_pressure_grades_coverage_defense`	numeric
`pressure_grades_defense_penalty`	numeric
`pressure_grades_pass_rush_defense`	numeric
`blitz_grades_pass_rush_defense`	numeric
`no_pressure_grades_tackle`	numeric
`blitz_grades_tackle`	numeric
`blitz_grades_overall_tackle`	numeric
`no_pressure_grades_pass_rush_defense`	numeric
`pressure_grades_overall_tackle`	numeric
`no_blitz_grades_overall_tackle`	numeric
`pressure_grades_tackle`	numeric
`no_blitz_grades_pass_rush_defense`	character
`no_pressure_grades_overall_tackle`	numeric
`no_blitz_grades_tackle`	numeric

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

pff_facet_passing_pressure()

Last validated n/a.

`pff_facet_receiving_summary`

Facet report /receiving/summary (By Position leaderboard; add franchiseId for By Team, gameId for By Game)

Endpoint URL: GET https://premium.pff.com/api/v1/facet/receiving/summary

Valid URL: https://premium.pff.com/api/v1/facet/receiving/summary

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Week or week-group key (e.g. 'REG', a week number, or a range).
`franchiseId`	`franchise_id`	`Y`	PFF franchise (team) id; filters a report 'By Team'.
`gameId`	`game_id`	`Y`	PFF game id; filters a report 'By Game'.
`division`	`division`	`Y`	Division filter (NCAA).

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
`targets`	numeric	Times targeted.
`grades_pass_block`	numeric
`grades_offense`	numeric	PFF overall offense grade (0-100).
`yards_after_catch_per_reception`	numeric
`grades_pass_route`	numeric	PFF receiving/route grade (0-100).
`draft_season`	numeric
`team_name`	character	Team abbreviation the player is credited to for the range.
`yprr`	numeric	Yards per route run.
`wide_snaps`	numeric
`fumbles`	numeric
`first_downs`	numeric	First downs earned by the team.
`jersey_number`	character	Jersey number (string; zero-padded, e.g. "09").
`inline_snaps`	numeric
`contested_targets`	numeric	Contested targets.
`player_game_count`	numeric	Games with at least one qualifying snap in the requested range.
`eligible_season`	numeric
`inline_rate`	numeric
`contested_catch_rate`	numeric
`yards`	numeric	Receiving yards.
`receptions`	numeric	Passes caught by the receiver.
`targeted_qb_rating`	numeric
`interceptions`	numeric	The number of interceptions thrown.
`caught_percent`	numeric
`drop_rate`	numeric
`grades_hands_drop`	numeric	PFF hands/drop grade (0-100).
`slot_rate`	numeric
`slot_snaps`	numeric
`penalties`	numeric	Total number of penalties.
`wide_rate`	numeric
`pass_block_rate`	numeric
`team`	character	NFL team. Uses official abbreviations as per NFL.com
`declined_penalties`	numeric
`route_rate`	numeric
`drops`	numeric	Dropped passes.
`position`	character	Primary position as reported by NFL.com
`grades_hands_fumble`	numeric
`longest`	numeric
`pass_blocks`	numeric
`routes`	numeric	Pass routes run by the receiver.
`pass_plays`	numeric
`yards_per_reception`	numeric
`player`	character	Player name
`positive_epa_percent`	numeric
`franchise_id`	numeric	PFF franchise (team) id (integer join key).
`contested_receptions`	numeric	Contested catches made.
`yards_after_catch`	numeric	Yards after the catch.
`avg_depth_of_target`	numeric
`epa`	numeric	Expected points added (EPA) by the posteam for the given play.
`avoided_tackles`	numeric
`player_id`	numeric	PFF player id (integer; matches the /players id and every player_id join key).
`touchdowns`	numeric	Receiving touchdowns.

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

pff_facet_receiving_summary()

Last validated n/a.

`pff_facet_return_summary`

Facet report /return/summary (By Position leaderboard; add franchiseId for By Team, gameId for By Game)

Endpoint URL: GET https://premium.pff.com/api/v1/facet/return/summary

Valid URL: https://premium.pff.com/api/v1/facet/return/summary

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Week or week-group key (e.g. 'REG', a week number, or a range).
`franchiseId`	`franchise_id`	`Y`	PFF franchise (team) id; filters a report 'By Team'.
`gameId`	`game_id`	`Y`	PFF game id; filters a report 'By Game'.
`division`	`division`	`Y`	Division filter (NCAA).

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
`declined_penalties`	numeric
`draft_season`	numeric
`eligible_season`	numeric
`franchise_id`	numeric	ESPN franchise identifier.
`grades_kick_return`	numeric
`grades_return`	numeric
`jersey_number`	character	Jersey number. Often useful for joins by name/team/jersey.
`kickoff_attempts`	numeric
`kickoff_fair_catches`	numeric
`kickoff_long`	numeric
`kickoff_muffed_returns`	numeric
`kickoff_touchdowns`	numeric
`kickoff_yards`	numeric
`kickoff_ypa`	numeric
`penalties`	numeric	Total number of penalties.
`player`	character	Player name
`player_game_count`	numeric
`player_id`	numeric	Player ID (aka GSIS ID) as defined by nflreadr::load_rosters
`position`	character	Primary position as reported by NFL.com
`punt_attempts`	numeric
`punt_fair_catches`	numeric
`punt_long`	numeric
`punt_muffed_returns`	numeric
`punt_touchdowns`	numeric
`punt_yards`	numeric
`punt_ypa`	numeric
`team`	character	NFL team. Uses official abbreviations as per NFL.com
`team_name`	character	Full team display name (e.g. 'Las Vegas Aces').
`total_attempts`	numeric
`grades_punt_return`	numeric

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

pff_facet_return_summary()

Last validated n/a.

`pff_facet_rushing_direction_stats`

Facet report /rushing/direction (By Position leaderboard; add franchiseId for By Team, gameId for By Game)

Endpoint URL: GET https://premium.pff.com/api/v1/facet/rushing/direction

Valid URL: https://premium.pff.com/api/v1/facet/rushing/direction

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Week or week-group key (e.g. 'REG', a week number, or a range).
`franchiseId`	`franchise_id`	`Y`	PFF franchise (team) id; filters a report 'By Team'.
`gameId`	`game_id`	`Y`	PFF game id; filters a report 'By Game'.
`division`	`division`	`Y`	Division filter (NCAA).

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
`directions`	list
`draft_season`	numeric
`eligible_season`	numeric
`franchise_id`	numeric	ESPN franchise identifier.
`jersey_number`	character	Jersey number. Often useful for joins by name/team/jersey.
`player`	character	Player name
`player_id`	numeric	Player ID (aka GSIS ID) as defined by nflreadr::load_rosters
`position`	character	Primary position as reported by NFL.com
`team`	character	NFL team. Uses official abbreviations as per NFL.com
`team_name`	character	Full team display name (e.g. 'Las Vegas Aces').
`total_attempts`	numeric

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

pff_facet_rushing_direction_stats()

Last validated n/a.

`pff_facet_receiving_coverage_stats`

Facet report /defense/coverage_matchup (By Position leaderboard; add franchiseId for By Team, gameId for By Game)

Endpoint URL: GET https://premium.pff.com/api/v1/facet/defense/coverage_matchup

Valid URL: https://premium.pff.com/api/v1/facet/defense/coverage_matchup

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Week or week-group key (e.g. 'REG', a week number, or a range).
`franchiseId`	`franchise_id`	`Y`	PFF franchise (team) id; filters a report 'By Team'.
`gameId`	`game_id`	`Y`	PFF game id; filters a report 'By Game'.
`division`	`division`	`Y`	Division filter (NCAA).

Returns

return_parsed=True (default) — a tidy polars.DataFrame (parser: parse_pff_report); pass return_as_pandas=True for a pandas.DataFrame. return_parsed=False — the raw JSON Dict payload, unparsed.

Example

pff_facet_receiving_coverage_stats()

Last validated n/a.

`pff_facet_rushing_summary`

Facet report /rushing/summary (By Position leaderboard; add franchiseId for By Team, gameId for By Game)

Endpoint URL: GET https://premium.pff.com/api/v1/facet/rushing/summary

Valid URL: https://premium.pff.com/api/v1/facet/rushing/summary

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Week or week-group key (e.g. 'REG', a week number, or a range).
`franchiseId`	`franchise_id`	`Y`	PFF franchise (team) id; filters a report 'By Team'.
`gameId`	`game_id`	`Y`	PFF game id; filters a report 'By Game'.
`division`	`division`	`Y`	Division filter (NCAA).

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
`targets`	numeric	The number of pass plays where the player was the targeted receiver.
`grades_pass_block`	numeric
`grades_offense`	numeric	PFF overall offense grade (0-100).
`yards_after_contact`	numeric	Yards after contact.
`explosive`	numeric
`grades_pass_route`	numeric
`draft_season`	numeric
`elu_rush_mtf`	numeric
`breakaway_attempts`	numeric
`designed_yards`	numeric
`team_name`	character	Team abbreviation the player is credited to for the range.
`yprr`	numeric
`breakaway_percent`	numeric
`fumbles`	numeric	Fumbles by the ball carrier.
`first_downs`	numeric	Rushing first downs.
`elusive_rating`	numeric	PFF elusive rating.
`jersey_number`	character	Jersey number (string; zero-padded, e.g. "09").
`breakaway_yards`	numeric	Breakaway (long-run) yards.
`player_game_count`	numeric	Games with at least one qualifying snap in the requested range.
`eligible_season`	numeric
`total_touches`	numeric
`scramble_yards`	numeric
`yco_attempt`	numeric
`yards`	numeric	Total rushing yards gained.
`grades_run_block`	numeric
`receptions`	numeric	The number of pass receptions. Lateral receptions officially don't count as reception.
`zone_attempts`	numeric
`scrambles`	numeric
`grades_run`	numeric	PFF rushing grade (0-100).
`penalties`	numeric	Total number of penalties.
`attempts`	numeric	Rushing attempts (carries) by the runner.
`elu_yco`	numeric
`elu_recv_mtf`	numeric
`team`	character	NFL team. Uses official abbreviations as per NFL.com
`declined_penalties`	numeric
`ypa`	numeric
`drops`	numeric	Throws dropped
`position`	character	Primary position as reported by NFL.com
`grades_hands_fumble`	numeric
`longest`	numeric
`routes`	numeric
`player`	character	Player name
`franchise_id`	numeric	PFF franchise (team) id (integer join key).
`rec_yards`	numeric	Career receiving yards
`gap_attempts`	numeric
`run_plays`	numeric
`avoided_tackles`	numeric	Missed tackles forced.
`grades_offense_penalty`	numeric
`player_id`	numeric	PFF player id (integer; matches the /players id and every player_id join key).
`touchdowns`	numeric	Rushing touchdowns.
`grades_pass`	numeric

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

pff_facet_rushing_summary()

Last validated n/a.

`pff_facet_slot_coverages`

Facet report /signature/defense/slot_coverage (By Position leaderboard; add franchiseId for By Team, gameId for By Game)

Endpoint URL: GET https://premium.pff.com/api/v1/facet/signature/defense/slot_coverage

Valid URL: https://premium.pff.com/api/v1/facet/signature/defense/slot_coverage

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Week or week-group key (e.g. 'REG', a week number, or a range).
`franchiseId`	`franchise_id`	`Y`	PFF franchise (team) id; filters a report 'By Team'.
`gameId`	`game_id`	`Y`	PFF game id; filters a report 'By Game'.
`division`	`division`	`Y`	Division filter (NCAA).

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
`coverage_snaps`	numeric
`coverage_snaps_per_reception`	numeric
`coverage_snaps_per_target`	numeric
`draft_season`	numeric
`eligible_season`	numeric
`franchise_id`	numeric	ESPN franchise identifier.
`interceptions`	numeric	The number of interceptions thrown.
`jersey_number`	character	Jersey number. Often useful for joins by name/team/jersey.
`player`	character	Player name
`player_game_count`	numeric
`player_id`	numeric	Player ID (aka GSIS ID) as defined by nflreadr::load_rosters
`position`	character	Primary position as reported by NFL.com
`qb_rating_against`	numeric
`receptions`	numeric	The number of pass receptions. Lateral receptions officially don't count as reception.
`targets`	numeric	The number of pass plays where the player was the targeted receiver.
`team`	character	NFL team. Uses official abbreviations as per NFL.com
`team_name`	character	Full team display name (e.g. 'Las Vegas Aces').
`touchdowns`	numeric
`yards`	numeric	The number of receiving yards
`yards_after_catch`	numeric	Numeric value for distance in yards perpendicular to the yard line where the receiver made the reception to where the play ended.
`yards_per_coverage_snap`	numeric

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

pff_facet_slot_coverages()

Last validated n/a.

`pff_facet_pbes`

Facet report /signature/pass-blocking/efficiency/line (By Position leaderboard; add franchiseId for By Team, gameId for By Game)

Endpoint URL: GET https://premium.pff.com/api/v1/facet/signature/pass-blocking/efficiency/line

Valid URL: https://premium.pff.com/api/v1/facet/signature/pass-blocking/efficiency/line

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Week or week-group key (e.g. 'REG', a week number, or a range).
`franchiseId`	`franchise_id`	`Y`	PFF franchise (team) id; filters a report 'By Team'.
`gameId`	`game_id`	`Y`	PFF game id; filters a report 'By Game'.
`division`	`division`	`Y`	Division filter (NCAA).

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
`attempts`	numeric	The number of pass attempts as defined by the NFL.
`franchise_id`	numeric	ESPN franchise identifier.
`hits_allowed`	numeric
`hurries_allowed`	numeric
`pass_snaps`	numeric
`pbe`	numeric
`player_game_count`	numeric
`pressures_allowed`	numeric
`sacks_allowed`	numeric	Opponent sacks.
`season_id`	numeric	Unique season identifier.
`team_name`	character	Full team display name (e.g. 'Las Vegas Aces').

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

pff_facet_pbes()

Last validated n/a.

`pff_facet_prps`

Facet report /signature/defense/outside_pass_rush (By Position leaderboard; add franchiseId for By Team, gameId for By Game)

Endpoint URL: GET https://premium.pff.com/api/v1/facet/signature/defense/outside_pass_rush

Valid URL: https://premium.pff.com/api/v1/facet/signature/defense/outside_pass_rush

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Week or week-group key (e.g. 'REG', a week number, or a range).
`franchiseId`	`franchise_id`	`Y`	PFF franchise (team) id; filters a report 'By Team'.
`gameId`	`game_id`	`Y`	PFF game id; filters a report 'By Game'.
`division`	`division`	`Y`	Division filter (NCAA).

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
`lhs_sacks`	numeric
`rhs_hits`	numeric
`rhs_prp`	numeric
`draft_season`	numeric
`pass_snaps`	numeric
`lhs_hurries`	numeric
`team_name`	character	Full team display name (e.g. 'Las Vegas Aces').
`prp`	numeric
`tackles`	numeric	Team tackles.
`rhs_pressures`	numeric
`rhs_pass_rush_percent`	numeric
`jersey_number`	character	Jersey number. Often useful for joins by name/team/jersey.
`lhs_pass_rush_percent`	numeric
`lhs_pass_rush_snaps`	numeric
`sacks`	numeric	The Number of times sacked.
`lhs_assists`	numeric
`player_game_count`	numeric
`eligible_season`	numeric
`lhs_pressures`	numeric
`pass_rush_snaps`	numeric
`hurries`	numeric
`rhs_pass_rush_snaps`	numeric
`lhs_prp`	numeric
`hits`	numeric	Hits.
`lhs_hits`	numeric
`rhs_tackles`	numeric
`lhs_stops`	numeric
`team`	character	NFL team. Uses official abbreviations as per NFL.com
`stops`	numeric
`rhs_misses`	numeric
`position`	character	Primary position as reported by NFL.com
`pressures`	numeric
`misses`	numeric
`player`	character	Player name
`rhs_sacks`	numeric
`franchise_id`	numeric	ESPN franchise identifier.
`pass_rush_percent`	numeric
`rhs_hurries`	numeric
`rhs_assists`	numeric
`rhs_stops`	numeric
`assists`	numeric	Total assists.
`player_id`	numeric	Player ID (aka GSIS ID) as defined by nflreadr::load_rosters
`lhs_tackles`	numeric
`lhs_misses`	numeric

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

pff_facet_prps()

Last validated n/a.

`pff_facet_receiving_scheme`

Facet report /receiving/scheme (By Position leaderboard; add franchiseId for By Team, gameId for By Game)

Endpoint URL: GET https://premium.pff.com/api/v1/facet/receiving/scheme

Valid URL: https://premium.pff.com/api/v1/facet/receiving/scheme

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Week or week-group key (e.g. 'REG', a week number, or a range).
`franchiseId`	`franchise_id`	`Y`	PFF franchise (team) id; filters a report 'By Team'.
`gameId`	`game_id`	`Y`	PFF game id; filters a report 'By Game'.
`division`	`division`	`Y`	Division filter (NCAA).

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
`man_contested_catch_rate`	numeric
`man_touchdowns`	numeric
`zone_targets_percent`	numeric
`man_interceptions`	numeric
`zone_epa`	numeric
`man_avg_depth_of_target`	numeric
`zone_pass_blocks`	numeric
`zone_avoided_tackles`	numeric
`man_targeted_qb_rating`	numeric
`draft_season`	numeric
`zone_positive_epa_percent`	numeric
`man_targets_percent`	numeric
`man_yards_per_reception`	numeric
`team_name`	character	Full team display name (e.g. 'Las Vegas Aces').
`man_drop_rate`	numeric
`zone_grades_pass_route`	numeric
`jersey_number`	character	Jersey number. Often useful for joins by name/team/jersey.
`zone_fumbles`	numeric
`man_pass_block_rate`	numeric
`zone_yards`	numeric
`man_yprr`	numeric
`player_game_count`	numeric
`eligible_season`	numeric
`zone_drops`	numeric
`zone_receptions`	numeric
`man_pass_plays`	numeric
`man_epa`	numeric
`zone_yards_per_reception`	numeric
`man_contested_targets`	numeric
`man_longest`	numeric
`zone_yards_after_catch`	numeric
`man_receptions`	numeric
`man_avoided_tackles`	numeric
`man_first_downs`	numeric
`base_targets`	numeric
`zone_contested_catch_rate`	numeric
`zone_targeted_qb_rating`	numeric
`man_routes`	numeric
`zone_grades_hands_drop`	numeric
`man_route_rate`	numeric
`zone_pass_block_rate`	numeric
`man_grades_pass_route`	numeric
`penalties`	numeric	Total number of penalties.
`zone_first_downs`	numeric
`zone_yprr`	numeric
`man_drops`	numeric
`zone_caught_percent`	numeric
`team`	character	NFL team. Uses official abbreviations as per NFL.com
`man_fumbles`	numeric
`declined_penalties`	numeric
`man_yards_after_catch`	numeric
`man_yards`	numeric
`zone_pass_plays`	numeric
`position`	character	Primary position as reported by NFL.com
`man_targets`	numeric
`man_grades_hands_drop`	numeric
`man_pass_blocks`	numeric
`zone_touchdowns`	numeric
`zone_route_rate`	numeric
`zone_yards_after_catch_per_reception`	numeric
`zone_avg_depth_of_target`	numeric
`player`	character	Player name
`franchise_id`	numeric	ESPN franchise identifier.
`zone_contested_targets`	numeric
`zone_contested_receptions`	numeric
`man_contested_receptions`	numeric
`man_yards_after_catch_per_reception`	numeric
`zone_targets`	numeric
`zone_longest`	numeric
`man_caught_percent`	numeric
`zone_drop_rate`	numeric
`zone_interceptions`	numeric
`man_positive_epa_percent`	numeric
`zone_routes`	numeric
`player_id`	numeric	Player ID (aka GSIS ID) as defined by nflreadr::load_rosters

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

pff_facet_receiving_scheme()

Last validated n/a.

`pff_facet_time_in_pockets`

Facet report /signature/passing/time_in_pocket (By Position leaderboard; add franchiseId for By Team, gameId for By Game)

Endpoint URL: GET https://premium.pff.com/api/v1/facet/signature/passing/time_in_pocket

Valid URL: https://premium.pff.com/api/v1/facet/signature/passing/time_in_pocket

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Week or week-group key (e.g. 'REG', a week number, or a range).
`franchiseId`	`franchise_id`	`Y`	PFF franchise (team) id; filters a report 'By Team'.
`gameId`	`game_id`	`Y`	PFF game id; filters a report 'By Game'.
`division`	`division`	`Y`	Division filter (NCAA).

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
`more_btt_rate`	numeric
`more_grades_run`	numeric
`more_ypa`	numeric
`more_passing_snaps`	numeric
`more_pressure_to_sack_rate`	numeric
`less_def_gen_pressures`	numeric
`dropbacks`	numeric
`less_sack_percent`	numeric
`less_first_downs`	numeric
`less_ypa`	numeric
`draft_season`	numeric
`more_grades_pass_route`	character
`less_pressure_to_sack_rate`	numeric
`less_aimed_passes`	numeric
`more_dropbacks_percent`	numeric
`less_positive_epa_percent`	numeric
`team_name`	character	Full team display name (e.g. 'Las Vegas Aces').
`avg_ttt_scrambles`	numeric
`more_yards`	numeric
`more_accuracy_percent`	numeric
`less_attempts`	numeric
`less_drop_rate`	numeric
`jersey_number`	character	Jersey number. Often useful for joins by name/team/jersey.
`more_turnover_worthy_plays`	numeric
`more_interceptions`	numeric
`more_sack_percent`	numeric
`more_twp_rate`	numeric
`less_completions`	numeric
`more_thrown_aways`	numeric
`less_btt_rate`	numeric
`more_big_time_throws`	numeric
`less_qb_rating`	numeric
`less_hit_as_threw`	numeric
`more_attempts`	numeric
`player_game_count`	numeric
`less_spikes`	numeric
`eligible_season`	numeric
`less_dropbacks_percent`	numeric
`more_qb_rating`	numeric
`less_dropbacks`	numeric
`more_grades_hands_fumble`	numeric
`more_avg_depth_of_target`	numeric
`less_scrambles`	numeric
`more_positive_epa_percent`	numeric
`less_sacks`	numeric
`less_grades_pass`	numeric
`less_drops`	numeric
`more_sacks`	numeric
`more_first_downs`	numeric
`less_big_time_throws`	numeric
`avg_ttt_attempts`	numeric
`more_aimed_passes`	numeric
`less_accuracy_percent`	numeric
`more_scrambles`	numeric
`less_epa`	numeric
`more_spikes`	numeric
`less_grades_pass_route`	character
`less_grades_offense`	numeric
`avg_ttt_sacks`	numeric
`more_grades_offense_penalty`	numeric
`team`	character	NFL team. Uses official abbreviations as per NFL.com
`less_bats`	numeric
`less_grades_run`	numeric
`position`	character	Primary position as reported by NFL.com
`less_touchdowns`	numeric
`less_yards`	numeric
`less_grades_run_block`	character
`less_grades_hands_fumble`	numeric
`more_hit_as_threw`	numeric
`more_epa`	numeric
`avg_time_to_throw`	numeric	Average time elapsed from the time of snap to throw on every pass attempt for a passer (sacks excluded).
`less_turnover_worthy_plays`	numeric
`less_completion_percent`	numeric
`more_drops`	numeric
`player`	character	Player name
`more_touchdowns`	numeric
`franchise_id`	numeric	ESPN franchise identifier.
`more_drop_rate`	numeric
`less_twp_rate`	numeric
`more_grades_offense`	numeric
`less_thrown_aways`	numeric
`less_avg_depth_of_target`	numeric
`less_avg_time_to_throw`	numeric
`less_grades_offense_penalty`	numeric
`less_interceptions`	numeric
`more_def_gen_pressures`	numeric
`more_avg_time_to_throw`	numeric
`more_dropbacks`	numeric
`more_grades_pass`	numeric
`player_id`	numeric	Player ID (aka GSIS ID) as defined by nflreadr::load_rosters
`less_passing_snaps`	numeric
`more_completions`	numeric
`more_grades_run_block`	character
`more_bats`	numeric
`more_completion_percent`	numeric
`more_grades_hands_drop`	character
`less_grades_hands_drop`	character
`less_grades_pass_block`	character
`more_grades_pass_block`	character
`less_grades_screen_block`	character
`more_grades_screen_block`	character
`less_grades_defense_penalty`	character
`less_grades_coverage_defense`	character
`more_grades_defense_penalty`	character
`more_grades_defense`	character
`more_grades_coverage_defense`	character
`less_grades_defense`	character
`less_grades_overall_tackle`	character
`more_grades_pass_rush_defense`	character
`more_grades_run_defense`	character
`more_grades_tackle`	character
`less_grades_pass_rush_defense`	character
`less_grades_tackle`	character
`more_grades_overall_tackle`	character
`less_grades_run_defense`	character

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

pff_facet_time_in_pockets()

Last validated n/a.

`pff_facet_receiving_concept`

Facet report /receiving/concept (By Position leaderboard; add franchiseId for By Team, gameId for By Game)

Endpoint URL: GET https://premium.pff.com/api/v1/facet/receiving/concept

Valid URL: https://premium.pff.com/api/v1/facet/receiving/concept

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Week or week-group key (e.g. 'REG', a week number, or a range).
`franchiseId`	`franchise_id`	`Y`	PFF franchise (team) id; filters a report 'By Team'.
`gameId`	`game_id`	`Y`	PFF game id; filters a report 'By Game'.
`division`	`division`	`Y`	Division filter (NCAA).

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
`screen_caught_percent`	numeric
`screen_targeted_qb_rating`	numeric
`slot_grades_pass_route`	numeric
`slot_avg_depth_of_target`	numeric
`slot_positive_epa_percent`	numeric
`screen_yprr`	numeric
`draft_season`	numeric
`slot_routes`	numeric
`team_name`	character	Full team display name (e.g. 'Las Vegas Aces').
`screen_grades_hands_drop`	numeric
`jersey_number`	character	Jersey number. Often useful for joins by name/team/jersey.
`screen_contested_catch_rate`	numeric
`slot_yards_per_reception`	numeric
`screen_interceptions`	numeric
`slot_targets_percent`	numeric
`screen_longest`	numeric
`slot_avoided_tackles`	numeric
`slot_yards_after_catch`	numeric
`slot_grades_hands_drop`	numeric
`player_game_count`	numeric
`screen_contested_targets`	numeric
`eligible_season`	numeric
`screen_yards_after_catch_per_reception`	numeric
`screen_yards`	numeric
`slot_route_rate`	numeric
`screen_drop_rate`	numeric
`screen_epa`	numeric
`screen_grades_pass_route`	numeric
`screen_drops`	numeric
`screen_fumbles`	numeric
`slot_interceptions`	numeric
`screen_yards_after_catch`	numeric
`screen_avg_depth_of_target`	numeric
`screen_pass_block_rate`	numeric
`slot_pass_block_rate`	numeric
`slot_yprr`	numeric
`base_targets`	numeric
`slot_longest`	numeric
`slot_drops`	numeric
`screen_routes`	numeric
`slot_fumbles`	numeric
`penalties`	numeric	Total number of penalties.
`slot_contested_catch_rate`	numeric
`slot_pass_plays`	numeric
`team`	character	NFL team. Uses official abbreviations as per NFL.com
`declined_penalties`	numeric
`screen_positive_epa_percent`	numeric
`slot_first_downs`	numeric
`screen_route_rate`	numeric
`position`	character	Primary position as reported by NFL.com
`screen_pass_blocks`	numeric
`slot_targets`	numeric
`slot_pass_blocks`	numeric
`slot_receptions`	numeric
`screen_first_downs`	numeric
`slot_caught_percent`	numeric
`screen_avoided_tackles`	numeric
`player`	character	Player name
`slot_epa`	numeric
`slot_drop_rate`	numeric
`franchise_id`	numeric	ESPN franchise identifier.
`slot_touchdowns`	numeric
`slot_yards_after_catch_per_reception`	numeric
`screen_receptions`	numeric
`slot_targeted_qb_rating`	numeric
`slot_contested_targets`	numeric
`screen_yards_per_reception`	numeric
`slot_contested_receptions`	numeric
`screen_pass_plays`	numeric
`screen_contested_receptions`	numeric
`screen_touchdowns`	numeric
`screen_targets`	numeric
`screen_targets_percent`	numeric
`slot_yards`	numeric
`player_id`	numeric	Player ID (aka GSIS ID) as defined by nflreadr::load_rosters

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

pff_facet_receiving_concept()

Last validated n/a.

`pff_facet_special_teams_summary`

Facet report /special/summary (By Position leaderboard; add franchiseId for By Team, gameId for By Game)

Endpoint URL: GET https://premium.pff.com/api/v1/facet/special/summary

Valid URL: https://premium.pff.com/api/v1/facet/special/summary

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Week or week-group key (e.g. 'REG', a week number, or a range).
`franchiseId`	`franchise_id`	`Y`	PFF franchise (team) id; filters a report 'By Team'.
`gameId`	`game_id`	`Y`	PFF game id; filters a report 'By Game'.
`division`	`division`	`Y`	Division filter (NCAA).

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
`assists`	numeric	Total assists.
`declined_penalties`	numeric
`draft_season`	numeric
`eligible_season`	numeric
`franchise_id`	numeric	ESPN franchise identifier.
`grades_fgep_kicker`	numeric
`grades_kickoff_kicker`	numeric
`grades_misc_st`	numeric
`grades_special_teams_penalty`	numeric
`jersey_number`	character	Jersey number. Often useful for joins by name/team/jersey.
`missed_tackles`	numeric
`penalties`	numeric	Total number of penalties.
`player`	character	Player name
`player_game_count`	numeric
`player_id`	numeric	Player ID (aka GSIS ID) as defined by nflreadr::load_rosters
`position`	character	Primary position as reported by NFL.com
`snap_counts_field_goal`	numeric
`snap_counts_field_goal_blocking`	numeric
`snap_counts_kickoff`	numeric
`snap_counts_kickoff_return`	numeric
`snap_counts_punt_coverage`	numeric
`snap_counts_punt_return`	numeric
`tackles`	numeric	Team tackles.
`team`	character	NFL team. Uses official abbreviations as per NFL.com
`team_name`	character	Full team display name (e.g. 'Las Vegas Aces').
`grades_fgep_defense`	numeric
`grades_fgep_offense`	numeric
`grades_long_snap`	numeric
`grades_punter`	numeric
`grades_kick_return`	numeric
`grades_punt_return`	numeric

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

pff_facet_special_teams_summary()

Last validated n/a.

`pff_facet_receiving_depth`

Facet report /receiving/depth (By Position leaderboard; add franchiseId for By Team, gameId for By Game)

Endpoint URL: GET https://premium.pff.com/api/v1/facet/receiving/depth

Valid URL: https://premium.pff.com/api/v1/facet/receiving/depth

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Week or week-group key (e.g. 'REG', a week number, or a range).
`franchiseId`	`franchise_id`	`Y`	PFF franchise (team) id; filters a report 'By Team'.
`gameId`	`game_id`	`Y`	PFF game id; filters a report 'By Game'.
`division`	`division`	`Y`	Division filter (NCAA).

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
`left_deep_route_rate`	numeric
`center_short_first_downs`	numeric
`center_short_routes`	numeric
`right_behind_los_positive_epa_percent`	numeric
`left_behind_los_yards_after_catch`	numeric
`center_behind_los_contested_targets`	numeric
`right_short_routes`	numeric
`right_deep_pass_block_rate`	numeric
`medium_interceptions`	numeric
`right_short_targets_percent`	numeric
`left_deep_contested_catch_rate`	numeric
`right_medium_grades_hands_drop`	numeric
`left_short_targeted_qb_rating`	numeric
`right_medium_contested_catch_rate`	numeric
`short_targets`	numeric
`deep_contested_catch_rate`	numeric
`center_behind_los_drops`	numeric
`center_behind_los_interceptions`	numeric
`left_behind_los_interceptions`	numeric
`left_deep_first_downs`	numeric
`left_behind_los_contested_targets`	numeric
`center_deep_avg_depth_of_target`	numeric
`center_short_drops`	numeric
`right_behind_los_targets`	numeric
`right_behind_los_yards_after_catch_per_reception`	numeric
`center_deep_first_downs`	numeric
`behind_los_yards_after_catch_per_reception`	numeric
`right_deep_grades_pass_route`	numeric
`left_short_fumbles`	numeric
`right_short_positive_epa_percent`	numeric
`center_deep_pass_block_rate`	numeric
`left_behind_los_avoided_tackles`	numeric
`center_short_longest`	numeric
`left_deep_drop_rate`	numeric
`center_short_contested_receptions`	numeric
`left_deep_routes`	numeric
`deep_drops`	numeric
`deep_contested_receptions`	numeric
`center_behind_los_touchdowns`	numeric
`center_medium_targeted_qb_rating`	numeric
`left_short_yards_per_reception`	numeric
`deep_touchdowns`	numeric
`left_short_yprr`	numeric
`center_deep_drop_rate`	numeric
`center_behind_los_pass_plays`	numeric
`right_short_first_downs`	numeric
`right_behind_los_first_downs`	numeric
`right_behind_los_grades_pass_route`	numeric
`short_interceptions`	numeric
`behind_los_routes`	numeric
`right_behind_los_contested_targets`	numeric
`left_medium_grades_pass_route`	numeric
`right_short_contested_catch_rate`	numeric
`draft_season`	numeric
`center_short_grades_hands_drop`	numeric
`deep_receptions`	numeric
`center_deep_pass_blocks`	numeric
`left_short_yards_after_catch_per_reception`	numeric
`center_medium_avoided_tackles`	numeric
`center_medium_grades_pass_route`	numeric
`center_behind_los_positive_epa_percent`	numeric
`medium_yards_after_catch_per_reception`	numeric
`medium_receptions`	numeric
`deep_pass_blocks`	numeric
`right_deep_yards_per_reception`	numeric
`center_medium_longest`	numeric
`center_deep_contested_catch_rate`	numeric
`medium_epa`	numeric
`left_short_route_rate`	numeric
`right_deep_grades_hands_drop`	numeric
`center_deep_targets`	numeric
`short_contested_receptions`	numeric
`center_deep_pass_plays`	numeric
`left_medium_routes`	numeric
`deep_yards_after_catch_per_reception`	numeric
`center_deep_contested_receptions`	numeric
`center_short_pass_blocks`	numeric
`team_name`	character	Full team display name (e.g. 'Las Vegas Aces').
`deep_pass_block_rate`	numeric
`short_touchdowns`	numeric
`center_medium_drops`	numeric
`left_short_pass_blocks`	numeric
`right_short_grades_pass_route`	numeric
`center_short_positive_epa_percent`	numeric
`deep_avg_depth_of_target`	numeric
`deep_grades_hands_drop`	numeric
`center_behind_los_avg_depth_of_target`	numeric
`left_deep_caught_percent`	numeric
`right_behind_los_contested_catch_rate`	numeric
`center_medium_route_rate`	numeric
`short_grades_pass_route`	numeric
`center_behind_los_contested_receptions`	numeric
`center_short_receptions`	numeric
`center_short_yprr`	numeric
`medium_pass_blocks`	numeric
`medium_yards_per_reception`	numeric
`center_deep_yprr`	numeric
`right_deep_drop_rate`	numeric
`center_short_targets`	numeric
`center_medium_pass_block_rate`	numeric
`left_behind_los_drop_rate`	numeric
`right_behind_los_targets_percent`	numeric
`short_contested_catch_rate`	numeric
`behind_los_fumbles`	numeric
`left_medium_drop_rate`	numeric
`left_medium_longest`	numeric
`jersey_number`	character	Jersey number. Often useful for joins by name/team/jersey.
`medium_yprr`	numeric
`left_short_positive_epa_percent`	numeric
`center_behind_los_pass_block_rate`	numeric
`right_short_fumbles`	numeric
`right_deep_route_rate`	numeric
`right_short_pass_blocks`	numeric
`left_short_longest`	numeric
`medium_contested_targets`	numeric
`behind_los_interceptions`	numeric
`right_medium_targeted_qb_rating`	numeric
`right_deep_drops`	numeric
`right_short_route_rate`	numeric
`medium_grades_pass_route`	numeric
`right_deep_yards`	numeric
`right_medium_contested_targets`	numeric
`center_medium_targets`	numeric
`right_short_avg_depth_of_target`	numeric
`center_deep_longest`	numeric
`right_behind_los_yards_per_reception`	numeric
`left_medium_pass_block_rate`	numeric
`right_deep_yards_after_catch`	numeric
`right_medium_receptions`	numeric
`right_short_targeted_qb_rating`	numeric
`left_deep_targets_percent`	numeric
`behind_los_pass_blocks`	numeric
`right_behind_los_touchdowns`	numeric
`right_medium_targets`	numeric
`deep_routes`	numeric
`left_medium_yprr`	numeric
`deep_yards_per_reception`	numeric
`center_behind_los_avoided_tackles`	numeric
`left_deep_contested_targets`	numeric
`medium_avg_depth_of_target`	numeric
`short_route_rate`	numeric
`left_behind_los_positive_epa_percent`	numeric
`left_medium_touchdowns`	numeric
`deep_targets_percent`	numeric
`behind_los_targets`	numeric
`center_short_yards`	numeric
`center_medium_routes`	numeric
`center_behind_los_grades_pass_route`	numeric
`right_deep_yprr`	numeric
`center_deep_targeted_qb_rating`	numeric
`left_deep_targeted_qb_rating`	numeric
`deep_pass_plays`	numeric
`center_short_avg_depth_of_target`	numeric
`right_short_yards`	numeric
`left_medium_first_downs`	numeric
`right_medium_positive_epa_percent`	numeric
`left_medium_targeted_qb_rating`	numeric
`right_short_contested_receptions`	numeric
`right_deep_avoided_tackles`	numeric
`right_medium_fumbles`	numeric
`right_behind_los_fumbles`	numeric
`center_deep_drops`	numeric
`center_medium_avg_depth_of_target`	numeric
`right_behind_los_pass_block_rate`	numeric
`left_short_yards_after_catch`	numeric
`right_behind_los_pass_blocks`	numeric
`left_behind_los_avg_depth_of_target`	numeric
`center_medium_epa`	numeric
`left_medium_targets_percent`	numeric
`left_behind_los_grades_pass_route`	numeric
`center_behind_los_yards_per_reception`	numeric
`left_deep_targets`	numeric
`short_contested_targets`	numeric
`left_medium_contested_catch_rate`	numeric
`left_deep_yprr`	numeric
`right_medium_yards_after_catch_per_reception`	numeric
`right_medium_longest`	numeric
`behind_los_drop_rate`	numeric
`right_behind_los_epa`	numeric
`player_game_count`	numeric
`left_short_pass_plays`	numeric
`right_short_touchdowns`	numeric
`behind_los_first_downs`	numeric
`right_deep_receptions`	numeric
`left_medium_pass_plays`	numeric
`eligible_season`	numeric
`center_behind_los_yards`	numeric
`right_medium_pass_blocks`	numeric
`left_short_grades_pass_route`	numeric
`left_behind_los_targets_percent`	numeric
`behind_los_longest`	numeric
`right_medium_first_downs`	numeric
`center_deep_yards_after_catch_per_reception`	numeric
`deep_contested_targets`	numeric
`behind_los_avoided_tackles`	numeric
`left_behind_los_receptions`	numeric
`right_short_yards_after_catch`	numeric
`right_behind_los_yards_after_catch`	numeric
`right_short_pass_plays`	numeric
`right_deep_epa`	numeric
`left_short_caught_percent`	numeric
`center_behind_los_contested_catch_rate`	numeric
`right_short_yards_after_catch_per_reception`	numeric
`right_short_drop_rate`	numeric
`left_short_yards`	numeric
`right_behind_los_avg_depth_of_target`	numeric
`right_deep_first_downs`	numeric
`left_deep_positive_epa_percent`	numeric
`short_yards_after_catch`	numeric
`center_medium_yprr`	numeric
`short_pass_blocks`	numeric
`left_short_contested_receptions`	numeric
`short_fumbles`	numeric
`left_short_pass_block_rate`	numeric
`center_deep_routes`	numeric
`left_medium_avoided_tackles`	numeric
`left_behind_los_pass_plays`	numeric
`right_deep_touchdowns`	numeric
`center_medium_receptions`	numeric
`left_behind_los_drops`	numeric
`center_short_targets_percent`	numeric
`deep_epa`	numeric
`medium_touchdowns`	numeric
`left_medium_route_rate`	numeric
`left_behind_los_grades_hands_drop`	numeric
`left_deep_fumbles`	numeric
`medium_avoided_tackles`	numeric
`center_medium_contested_catch_rate`	numeric
`right_behind_los_routes`	numeric
`short_targets_percent`	numeric
`left_behind_los_yprr`	numeric
`medium_route_rate`	numeric
`left_short_first_downs`	numeric
`short_longest`	numeric
`right_behind_los_grades_hands_drop`	numeric
`behind_los_contested_targets`	numeric
`right_behind_los_avoided_tackles`	numeric
`right_deep_longest`	numeric
`right_deep_contested_targets`	numeric
`right_deep_positive_epa_percent`	numeric
`right_behind_los_pass_plays`	numeric
`medium_contested_receptions`	numeric
`short_targeted_qb_rating`	numeric
`right_behind_los_interceptions`	numeric
`behind_los_targets_percent`	numeric
`center_deep_yards_after_catch`	numeric
`behind_los_yards`	numeric
`right_deep_targets_percent`	numeric
`left_medium_fumbles`	numeric
`short_receptions`	numeric
`left_short_interceptions`	numeric
`right_medium_interceptions`	numeric
`left_behind_los_yards`	numeric
`medium_first_downs`	numeric
`left_short_avg_depth_of_target`	numeric
`right_medium_pass_block_rate`	numeric
`right_medium_targets_percent`	numeric
`left_behind_los_touchdowns`	numeric
`right_behind_los_drop_rate`	numeric
`right_deep_fumbles`	numeric
`left_deep_contested_receptions`	numeric
`behind_los_drops`	numeric
`short_yards_after_catch_per_reception`	numeric
`medium_pass_plays`	numeric
`behind_los_pass_plays`	numeric
`left_deep_yards`	numeric
`center_behind_los_longest`	numeric
`center_medium_grades_hands_drop`	numeric
`left_behind_los_longest`	numeric
`center_short_interceptions`	numeric
`short_avg_depth_of_target`	numeric
`deep_yprr`	numeric
`left_deep_touchdowns`	numeric
`base_targets`	numeric
`deep_yards`	numeric
`center_medium_yards_after_catch`	numeric
`left_medium_epa`	numeric
`left_deep_avg_depth_of_target`	numeric
`deep_first_downs`	numeric
`short_drop_rate`	numeric
`left_medium_positive_epa_percent`	numeric
`center_deep_touchdowns`	numeric
`right_behind_los_yprr`	numeric
`center_medium_pass_blocks`	numeric
`short_positive_epa_percent`	numeric
`medium_fumbles`	numeric
`center_medium_yards_after_catch_per_reception`	numeric
`left_short_routes`	numeric
`behind_los_route_rate`	numeric
`behind_los_epa`	numeric
`right_behind_los_contested_receptions`	numeric
`right_medium_yards_after_catch`	numeric
`center_short_touchdowns`	numeric
`right_medium_drops`	numeric
`left_behind_los_routes`	numeric
`left_deep_epa`	numeric
`left_short_targets`	numeric
`left_deep_pass_block_rate`	numeric
`right_deep_caught_percent`	numeric
`center_short_grades_pass_route`	numeric
`left_behind_los_fumbles`	numeric
`right_medium_touchdowns`	numeric
`center_short_fumbles`	numeric
`center_behind_los_routes`	numeric
`behind_los_receptions`	numeric
`medium_targets_percent`	numeric
`left_medium_yards`	numeric
`center_medium_touchdowns`	numeric
`medium_targeted_qb_rating`	numeric
`center_short_drop_rate`	numeric
`penalties`	numeric	Total number of penalties.
`short_pass_block_rate`	numeric
`right_deep_avg_depth_of_target`	numeric
`center_deep_yards`	numeric
`center_short_yards_after_catch_per_reception`	numeric
`right_short_targets`	numeric
`behind_los_avg_depth_of_target`	numeric
`left_behind_los_contested_catch_rate`	numeric
`center_short_targeted_qb_rating`	numeric
`left_behind_los_epa`	numeric
`deep_route_rate`	numeric
`short_yprr`	numeric
`deep_caught_percent`	numeric
`center_medium_drop_rate`	numeric
`center_behind_los_yards_after_catch`	numeric
`medium_yards`	numeric
`center_deep_avoided_tackles`	numeric
`left_short_contested_targets`	numeric
`center_behind_los_first_downs`	numeric
`center_medium_interceptions`	numeric
`center_deep_yards_per_reception`	numeric
`center_deep_contested_targets`	numeric
`left_short_targets_percent`	numeric
`short_grades_hands_drop`	numeric
`right_deep_yards_after_catch_per_reception`	numeric
`left_medium_contested_receptions`	numeric
`center_short_yards_per_reception`	numeric
`center_deep_grades_hands_drop`	numeric
`deep_longest`	numeric
`left_medium_yards_after_catch_per_reception`	numeric
`right_short_interceptions`	numeric
`center_short_caught_percent`	numeric
`left_deep_interceptions`	numeric
`short_yards_per_reception`	numeric
`team`	character	NFL team. Uses official abbreviations as per NFL.com
`center_short_avoided_tackles`	numeric
`behind_los_yards_per_reception`	numeric
`short_epa`	numeric
`deep_drop_rate`	numeric
`left_deep_yards_per_reception`	numeric
`right_short_yprr`	numeric
`declined_penalties`	numeric
`medium_longest`	numeric
`left_short_contested_catch_rate`	numeric
`right_medium_routes`	numeric
`left_short_receptions`	numeric
`left_deep_yards_after_catch_per_reception`	numeric
`deep_targets`	numeric
`left_short_grades_hands_drop`	numeric
`right_short_epa`	numeric
`left_behind_los_contested_receptions`	numeric
`medium_targets`	numeric
`behind_los_targeted_qb_rating`	numeric
`center_short_contested_targets`	numeric
`center_short_route_rate`	numeric
`right_medium_route_rate`	numeric
`left_short_epa`	numeric
`left_deep_avoided_tackles`	numeric
`center_behind_los_pass_blocks`	numeric
`deep_interceptions`	numeric
`right_short_caught_percent`	numeric
`center_deep_caught_percent`	numeric
`center_medium_fumbles`	numeric
`behind_los_grades_hands_drop`	numeric
`left_behind_los_targets`	numeric
`right_medium_yprr`	numeric
`right_short_receptions`	numeric
`position`	character	Primary position as reported by NFL.com
`right_short_contested_targets`	numeric
`center_medium_yards_per_reception`	numeric
`right_behind_los_yards`	numeric
`center_behind_los_grades_hands_drop`	numeric
`right_behind_los_receptions`	numeric
`left_medium_caught_percent`	numeric
`left_medium_drops`	numeric
`short_avoided_tackles`	numeric
`center_short_epa`	numeric
`center_behind_los_targets`	numeric
`left_deep_pass_blocks`	numeric
`left_short_drops`	numeric
`medium_positive_epa_percent`	numeric
`center_deep_receptions`	numeric
`right_medium_epa`	numeric
`right_short_pass_block_rate`	numeric
`center_deep_route_rate`	numeric
`center_short_pass_plays`	numeric
`center_deep_interceptions`	numeric
`left_medium_yards_after_catch`	numeric
`left_behind_los_pass_blocks`	numeric
`right_behind_los_longest`	numeric
`short_yards`	numeric
`left_deep_receptions`	numeric
`deep_grades_pass_route`	numeric
`left_medium_targets`	numeric
`behind_los_grades_pass_route`	numeric
`right_deep_targeted_qb_rating`	numeric
`behind_los_pass_block_rate`	numeric
`left_medium_pass_blocks`	numeric
`player`	character	Player name
`left_medium_avg_depth_of_target`	numeric
`deep_avoided_tackles`	numeric
`center_behind_los_yprr`	numeric
`center_behind_los_epa`	numeric
`right_behind_los_route_rate`	numeric
`center_deep_fumbles`	numeric
`left_medium_grades_hands_drop`	numeric
`right_medium_yards`	numeric
`left_deep_yards_after_catch`	numeric
`left_deep_pass_plays`	numeric
`center_short_yards_after_catch`	numeric
`center_behind_los_route_rate`	numeric
`right_medium_drop_rate`	numeric
`medium_grades_hands_drop`	numeric
`right_deep_pass_blocks`	numeric
`medium_contested_catch_rate`	numeric
`franchise_id`	numeric	ESPN franchise identifier.
`center_behind_los_caught_percent`	numeric
`right_behind_los_caught_percent`	numeric
`short_pass_plays`	numeric
`center_behind_los_targeted_qb_rating`	numeric
`deep_targeted_qb_rating`	numeric
`center_short_pass_block_rate`	numeric
`right_short_avoided_tackles`	numeric
`left_short_drop_rate`	numeric
`left_medium_yards_per_reception`	numeric
`left_medium_receptions`	numeric
`right_medium_pass_plays`	numeric
`center_medium_contested_targets`	numeric
`short_first_downs`	numeric
`center_medium_targets_percent`	numeric
`right_short_longest`	numeric
`left_deep_longest`	numeric
`right_short_drops`	numeric
`right_medium_contested_receptions`	numeric
`right_deep_contested_catch_rate`	numeric
`center_behind_los_receptions`	numeric
`right_medium_caught_percent`	numeric
`right_deep_targets`	numeric
`center_medium_positive_epa_percent`	numeric
`medium_drops`	numeric
`left_deep_grades_hands_drop`	numeric
`behind_los_positive_epa_percent`	numeric
`left_short_avoided_tackles`	numeric
`right_medium_grades_pass_route`	numeric
`right_short_grades_hands_drop`	numeric
`left_behind_los_yards_per_reception`	numeric
`medium_yards_after_catch`	numeric
`center_medium_pass_plays`	numeric
`left_behind_los_caught_percent`	numeric
`left_medium_contested_targets`	numeric
`center_medium_contested_receptions`	numeric
`behind_los_contested_catch_rate`	numeric
`behind_los_yards_after_catch`	numeric
`left_deep_drops`	numeric
`center_deep_positive_epa_percent`	numeric
`left_behind_los_yards_after_catch_per_reception`	numeric
`right_deep_routes`	numeric
`center_deep_grades_pass_route`	numeric
`deep_yards_after_catch`	numeric
`center_behind_los_drop_rate`	numeric
`short_drops`	numeric
`right_deep_contested_receptions`	numeric
`left_behind_los_targeted_qb_rating`	numeric
`right_medium_avg_depth_of_target`	numeric
`right_medium_avoided_tackles`	numeric
`center_medium_caught_percent`	numeric
`center_behind_los_fumbles`	numeric
`center_medium_first_downs`	numeric
`behind_los_caught_percent`	numeric
`short_routes`	numeric
`left_deep_grades_pass_route`	numeric
`medium_routes`	numeric
`medium_caught_percent`	numeric
`behind_los_contested_receptions`	numeric
`behind_los_yprr`	numeric
`left_short_touchdowns`	numeric
`medium_drop_rate`	numeric
`player_id`	numeric	Player ID (aka GSIS ID) as defined by nflreadr::load_rosters
`left_behind_los_pass_block_rate`	numeric
`right_deep_pass_plays`	numeric
`short_caught_percent`	numeric
`right_medium_yards_per_reception`	numeric
`center_medium_yards`	numeric
`center_deep_epa`	numeric
`left_medium_interceptions`	numeric
`right_deep_interceptions`	numeric
`deep_positive_epa_percent`	numeric
`deep_fumbles`	numeric
`center_short_contested_catch_rate`	numeric
`center_behind_los_targets_percent`	numeric
`right_short_yards_per_reception`	numeric
`center_deep_targets_percent`	numeric
`center_behind_los_yards_after_catch_per_reception`	numeric
`behind_los_touchdowns`	numeric
`medium_pass_block_rate`	numeric
`left_behind_los_route_rate`	numeric
`right_behind_los_targeted_qb_rating`	numeric
`right_behind_los_drops`	numeric
`left_behind_los_first_downs`	numeric

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

pff_facet_receiving_depth()

Last validated n/a.

`pff_facet_receiving_coverage`

Facet report /receiving/coverage (By Position leaderboard; add franchiseId for By Team, gameId for By Game)

Endpoint URL: GET https://premium.pff.com/api/v1/facet/receiving/coverage

Valid URL: https://premium.pff.com/api/v1/facet/receiving/coverage

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Week or week-group key (e.g. 'REG', a week number, or a range).
`franchiseId`	`franchise_id`	`Y`	PFF franchise (team) id; filters a report 'By Team'.
`gameId`	`game_id`	`Y`	PFF game id; filters a report 'By Game'.
`division`	`division`	`Y`	Division filter (NCAA).

Returns

Example

pff_facet_receiving_coverage()

Last validated n/a.

`pff_player_passing_summary`

Player-detail report /passing/summary (per-week + totals for one player)

Endpoint URL: GET https://premium.pff.com/api/v1/player/passing/summary

Valid URL: https://premium.pff.com/api/v1/player/passing/summary

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Week or week-group key (e.g. 'REG', a week number, or a range).
`player_id`	`player_id`	`Y`	PFF player id (snake_case on the wire; matches the /players id).
`career`	`career`	`Y`	Career-rollup flag ("true"/"false"); player-detail views only.

Returns

return_parsed=True (default) — a tidy polars.DataFrame (parser: parse_pff_player_detail); pass return_as_pandas=True for a pandas.DataFrame. return_parsed=False — the raw JSON Dict payload, unparsed.

Example

pff_player_passing_summary()

Last validated n/a.

`pff_player_rushing_summary`

Player-detail report /rushing/summary (per-week + totals for one player)

Endpoint URL: GET https://premium.pff.com/api/v1/player/rushing/summary

Valid URL: https://premium.pff.com/api/v1/player/rushing/summary

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Week or week-group key (e.g. 'REG', a week number, or a range).
`player_id`	`player_id`	`Y`	PFF player id (snake_case on the wire; matches the /players id).
`career`	`career`	`Y`	Career-rollup flag ("true"/"false"); player-detail views only.

Returns

Example

pff_player_rushing_summary()

Last validated n/a.

`pff_player_receiving_summary`

Player-detail report /receiving/summary (per-week + totals for one player)

Endpoint URL: GET https://premium.pff.com/api/v1/player/receiving/summary

Valid URL: https://premium.pff.com/api/v1/player/receiving/summary

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Week or week-group key (e.g. 'REG', a week number, or a range).
`player_id`	`player_id`	`Y`	PFF player id (snake_case on the wire; matches the /players id).
`career`	`career`	`Y`	Career-rollup flag ("true"/"false"); player-detail views only.

Returns

Example

pff_player_receiving_summary()

Last validated n/a.

`pff_player_defense_summary`

Player-detail report /defense/summary (per-week + totals for one player)

Endpoint URL: GET https://premium.pff.com/api/v1/player/defense/summary

Valid URL: https://premium.pff.com/api/v1/player/defense/summary

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Week or week-group key (e.g. 'REG', a week number, or a range).
`player_id`	`player_id`	`Y`	PFF player id (snake_case on the wire; matches the /players id).
`career`	`career`	`Y`	Career-rollup flag ("true"/"false"); player-detail views only.

Returns

Example

pff_player_defense_summary()

Last validated n/a.

`pff_player_offense_summary`

Player-detail report /offense/summary (per-week + totals for one player)

Endpoint URL: GET https://premium.pff.com/api/v1/player/offense/summary

Valid URL: https://premium.pff.com/api/v1/player/offense/summary

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Week or week-group key (e.g. 'REG', a week number, or a range).
`player_id`	`player_id`	`Y`	PFF player id (snake_case on the wire; matches the /players id).
`career`	`career`	`Y`	Career-rollup flag ("true"/"false"); player-detail views only.

Returns

Example

pff_player_offense_summary()

Last validated n/a.

`pff_player_snaps_summary`

Player-detail report /snaps/summary (per-week + totals for one player)

Endpoint URL: GET https://premium.pff.com/api/v1/player/snaps/summary

Valid URL: https://premium.pff.com/api/v1/player/snaps/summary

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Week or week-group key (e.g. 'REG', a week number, or a range).
`player_id`	`player_id`	`Y`	PFF player id (snake_case on the wire; matches the /players id).
`career`	`career`	`Y`	Career-rollup flag ("true"/"false"); player-detail views only.

Returns

Example

pff_player_snaps_summary()

Last validated n/a.

`pff_player_offense_blocking`

Player-detail report /offense/blocking (per-week + totals for one player)

Endpoint URL: GET https://premium.pff.com/api/v1/player/offense/blocking

Valid URL: https://premium.pff.com/api/v1/player/offense/blocking

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Week or week-group key (e.g. 'REG', a week number, or a range).
`player_id`	`player_id`	`Y`	PFF player id (snake_case on the wire; matches the /players id).
`career`	`career`	`Y`	Career-rollup flag ("true"/"false"); player-detail views only.

Returns

Example

pff_player_offense_blocking()

Last validated n/a.

`pff_leagues`

Leagues + seasons + week groups (bootstrap)

Endpoint URL: GET https://premium.pff.com/api/v1/leagues

Valid URL: https://premium.pff.com/api/v1/leagues

API Parameter	Python	Pattern	Required	Nullable	Description

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
`abbreviation`	character	Short abbreviation.
`default_season`	numeric
`default_week`	numeric
`default_week_group`	character
`id`	numeric	ID of the player in the 'name' column.
`name`	character	Name, as reported by MFL but reordered into FirstName LastName instead of Last, First
`seasons`	list	NBA seasons played.
`slug`	character	URL-safe identifier.
`week_groups`	list
`weeks`	list

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

pff_leagues()

Last validated n/a.

`pff_teams`

Teams / franchise groups + games for a league-season

Endpoint URL: GET https://premium.pff.com/api/v1/teams

Valid URL: https://premium.pff.com/api/v1/teams

API Parameter	Python	Pattern	Required	Nullable	Description
`league`	`league`			`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`			`Y`	Season (starting year).

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
`heirarchy`	list
`id`	numeric	ID of the player in the 'name' column.
`name`	character	Name, as reported by MFL but reordered into FirstName LastName instead of Last, First
`slug`	character	URL-safe identifier.

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

pff_teams()

Last validated n/a.

`pff_teams_overview`

Team overview table (By Team landing)

Endpoint URL: GET https://premium.pff.com/api/v1/teams/overview

Valid URL: https://premium.pff.com/api/v1/teams/overview

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Week or week-group key (e.g. 'REG', a week number, or a range).

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
`abbreviation`	character	Team abbreviation.
`franchise_id`	numeric	PFF franchise (team) id (integer join key).
`grades_coverage_defense`	numeric	PFF team coverage grade (0-100).
`grades_defense`	numeric	PFF team defense grade (0-100).
`grades_misc_st`	numeric
`grades_offense`	numeric	PFF team offense grade (0-100).
`grades_overall`	numeric
`grades_pass`	numeric
`grades_pass_block`	numeric
`grades_pass_route`	numeric
`grades_pass_rush_defense`	numeric
`grades_run`	numeric
`grades_run_block`	numeric
`grades_run_defense`	numeric
`grades_tackle`	numeric
`losses`	numeric	Total losses.
`name`	character	Name, as reported by MFL but reordered into FirstName LastName instead of Last, First
`points_allowed`	numeric	Points for the opponent.
`points_scored`	numeric
`ties`	numeric	Number of ties in the series.
`wins`	numeric	Total wins.

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

pff_teams_overview()

Last validated n/a.

`pff_games`

Games list for league-season(-week)

Endpoint URL: GET https://premium.pff.com/api/v1/games

Valid URL: https://premium.pff.com/api/v1/games

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Single week number.

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
`away_franchise_id`	numeric	PFF franchise id of the away team.
`away_team`	list	Away team object (JSON-stringified in the tidy frame).
`has_stats`	logical	Whether PFF has published stats for the game.
`home_franchise_id`	numeric	PFF franchise id of the home team.
`home_team`	list	Home team object (JSON-stringified in the tidy frame).
`id`	numeric	PFF game id (integer join key).
`league`	list	League slug.
`league_id`	numeric	PFF league id (integer).
`lock_status`	character	Data lock/publish status for the game.
`score`	list	Final score string.
`season`	numeric	Season (starting year) of the game.
`stadium_id`	numeric	PFF stadium identifier for the game venue.
`start`	character	Kickoff timestamp (ISO 8601 string).
`week`	numeric	Week number of the game.

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

pff_games()

Last validated n/a.

`pff_players`

Player search (name=) or lookup (id=)

Endpoint URL: GET https://premium.pff.com/api/v1/players

Valid URL: https://premium.pff.com/api/v1/players

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`name`	`name`	`Y`	Player-name search prefix.
`id`	`id`	`Y`	Entity id (player lookup).

Returns

return_parsed=True (default) — a tidy polars.DataFrame with the columns below; pass return_as_pandas=True for a pandas.DataFrame.

col_name	type	description
`college`	character	Official college (usually the last one attended)
`current_class`	character
`current_eligible_year`	numeric
`dob`	character	Player date of birth.
`draft`	list
`first_name`	character	First name of player
`height`	numeric	Official height, in inches
`id`	numeric	ID of the player in the 'name' column.
`jersey_number`	character	Jersey number. Often useful for joins by name/team/jersey.
`last_name`	character	Last name of player
`position`	character	Primary position as reported by NFL.com
`speed`	numeric	Speed.
`team`	list	NFL team. Uses official abbreviations as per NFL.com
`weight`	numeric	Official weight, in pounds

return_parsed=False — the raw JSON Dict payload, unparsed.

Example

pff_players()

Last validated n/a.

`pff_player_seasons`

Seasons a player has data for

Endpoint URL: GET https://premium.pff.com/api/v1/player/seasons

Valid URL: https://premium.pff.com/api/v1/player/seasons

API Parameter	Python	Pattern	Required	Nullable	Description
`league`	`league`			`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`player_id`	`player_id`			`Y`	PFF player id (snake_case on the wire; matches the /players id).

Returns

Example

pff_player_seasons()

Last validated n/a.

`pff_player_position_pivot`

Positional-pivot export (JSON; UI also uses this for CSV download)

Endpoint URL: GET https://premium.pff.com/api/v1/player/position/pivot

Valid URL: https://premium.pff.com/api/v1/player/position/pivot

API Parameter	Python	Nullable	Description
`league`	`league`	`Y`	League slug (nfl/ncaa/aaf/ufl); pre-bound by the per-league shim modules.
`season`	`season`	`Y`	Season (starting year).
`week`	`week`	`Y`	Week or week-group key (e.g. 'REG', a week number, or a range).
`player_id`	`player_id`	`Y`	PFF player id (snake_case on the wire; matches the /players id).

Returns

Example

pff_player_position_pivot()

Last validated n/a.

pff_facet_run_defense_summary
- Returns
- Example
pff_facet_field_goal_summary
- Returns
- Example
pff_facet_coverage_summary
- Returns
- Example
pff_facet_kicking_summary
- Returns
- Example
pff_facet_blocking_summary
- Returns
- Example
pff_facet_defense_summary
- Returns
- Example
pff_facet_offense_summary
- Returns
- Example
pff_facet_passing_allowed_pressure
- Returns
- Example
pff_facet_pass_rush_summary
- Returns
- Example
pff_facet_passing_concept
- Returns
- Example
pff_facet_coverage_scheme
- Returns
- Example
pff_facet_passing_detail_stats
- Returns
- Example
pff_facet_run_blocking
- Returns
- Example
pff_facet_pass_blocking
- Returns
- Example
pff_facet_passing_summary
- Returns
- Example
pff_facet_punting_summary
- Returns
- Example
pff_facet_passing_depth
- Returns
- Example
pff_facet_passing_pressure
- Returns
- Example
pff_facet_receiving_summary
- Returns
- Example
pff_facet_return_summary
- Returns
- Example
pff_facet_rushing_direction_stats
- Returns
- Example
pff_facet_receiving_coverage_stats
- Returns
- Example
pff_facet_rushing_summary
- Returns
- Example
pff_facet_slot_coverages
- Returns
- Example
pff_facet_pbes
- Returns
- Example
pff_facet_prps
- Returns
- Example
pff_facet_receiving_scheme
- Returns
- Example
pff_facet_time_in_pockets
- Returns
- Example
pff_facet_receiving_concept
- Returns
- Example
pff_facet_special_teams_summary
- Returns
- Example
pff_facet_receiving_depth
- Returns
- Example
pff_facet_receiving_coverage
- Returns
- Example
pff_player_passing_summary
- Returns
- Example
pff_player_rushing_summary
- Returns
- Example
pff_player_receiving_summary
- Returns
- Example
pff_player_defense_summary
- Returns
- Example
pff_player_offense_summary
- Returns
- Example
pff_player_snaps_summary
- Returns
- Example
pff_player_offense_blocking
- Returns
- Example
pff_leagues
- Returns
- Example
pff_teams
- Returns
- Example
pff_teams_overview
- Returns
- Example
pff_games
- Returns
- Example
pff_players
- Returns
- Example
pff_player_seasons
- Returns
- Example
pff_player_position_pivot
- Returns
- Example

pff_facet_run_defense_summary​

Returns​

Example​

pff_facet_field_goal_summary​

Returns​

Example​

pff_facet_coverage_summary​

Returns​

Example​

pff_facet_kicking_summary​

Returns​

Example​

pff_facet_blocking_summary​

Returns​

Example​

pff_facet_defense_summary​

Returns​

Example​

pff_facet_offense_summary​

Returns​

Example​

pff_facet_passing_allowed_pressure​

Returns​

Example​

pff_facet_pass_rush_summary​

Returns​

Example​

pff_facet_passing_concept​

Returns​

Example​

pff_facet_coverage_scheme​

Returns​

Example​

pff_facet_passing_detail_stats​

Returns​

Example​

pff_facet_run_blocking​

Returns​

Example​

pff_facet_pass_blocking​

Returns​

Example​

pff_facet_passing_summary​

Returns​

Example​

pff_facet_punting_summary​

Returns​

Example​

pff_facet_passing_depth​

Returns​

Example​

pff_facet_passing_pressure​

Returns​

Example​

pff_facet_receiving_summary​

Returns​

Example​

pff_facet_return_summary​

Returns​

Example​

pff_facet_rushing_direction_stats​

Returns​

Example​

pff_facet_receiving_coverage_stats​

Returns​

Example​

pff_facet_rushing_summary​

Returns​

Example​

pff_facet_slot_coverages​

Returns​

Example​

pff_facet_pbes​

Returns​

Example​

pff_facet_prps​

Returns​

Example​

pff_facet_receiving_scheme​

Returns​

`pff_facet_run_defense_summary`

Returns

Example

`pff_facet_field_goal_summary`

Returns

Example

`pff_facet_coverage_summary`

Returns

Example

`pff_facet_kicking_summary`

Returns

Example

`pff_facet_blocking_summary`

Returns

Example

`pff_facet_defense_summary`

Returns

Example

`pff_facet_offense_summary`

Returns

Example

`pff_facet_passing_allowed_pressure`

Returns

Example

`pff_facet_pass_rush_summary`

Returns

Example

`pff_facet_passing_concept`

Returns

Example

`pff_facet_coverage_scheme`

Returns

Example

`pff_facet_passing_detail_stats`

Returns

Example

`pff_facet_run_blocking`

Returns

Example

`pff_facet_pass_blocking`

Returns

Example

`pff_facet_passing_summary`

Returns

Example

`pff_facet_punting_summary`

Returns

Example

`pff_facet_passing_depth`

Returns

Example

`pff_facet_passing_pressure`

Returns

Example

`pff_facet_receiving_summary`

Returns

Example

`pff_facet_return_summary`

Returns

Example

`pff_facet_rushing_direction_stats`

Returns

Example

`pff_facet_receiving_coverage_stats`

Returns

Example

`pff_facet_rushing_summary`

Returns

Example

`pff_facet_slot_coverages`

Returns

Example

`pff_facet_pbes`

Returns

Example

`pff_facet_prps`

Returns

Example

`pff_facet_receiving_scheme`

Returns