NFL — nflpro

sportsdataverse.nfl — 16 endpoints.

nfl_pro_players_offense_passing_season

GET /api/secured/stats/players-offense/passing/season — one row per passer for the season — quarterback passing incl. Next Gen time-to-throw, aggressiveness and CPOE.

Endpoint URL: GET https://pro.nfl.com/api/secured/stats/players-offense/passing/season

Valid URL: https://pro.nfl.com/api/secured/stats/players-offense/passing/season?season=2024&seasonType=REG

API Parameter	Python	Pattern	Required	Nullable	Description
season	season			Y	Season, as the STARTING year (2024 = the 2024-25 NFL season).
seasonType	season_type			Y	Season type code (string): PRE, REG, or POST -- not ESPN's numeric 1/2/3.
limit	limit			Y	Page size. Responses truncate silently at this many rows; the getter pages on offset until it has them all.
offset	offset			Y	Zero-based row offset. The getter pages on this automatically; set it only to fetch a specific slice.
sortKey	sort_key			Y	Field name to sort by, e.g. epa.
sortValue	sort_value			Y	Sort direction: ASC or DESC.
qualifiedPasser	qualified			Y	Restrict to players meeting the league qualifying threshold.

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
nfl_id	character	NFL ID of player (this is used in Big Data Bowl Data)
display_name	character	Full name of player
short_name	character	Player short name (i.e. "F.Last")
headshot	character	NFL headshot url for player
team_id	character	ESPN team id.
jersey_number	integer	Jersey number. Often useful for joins by name/team/jersey.
position	character	Primary position as reported by NFL.com
position_group	character	Postion group of player as listed by NFL
ngs_position	character	Primary position as reported by the NextGen stats API.
ngs_position_group	character	Position group of player as listed by Next Gen Stats
gp	integer	Games played.
gs	integer	Games started.
tg	integer
total_tg	integer
cmp	integer
att	integer
yds	integer
td	integer
int	integer	Binary flag for an interception.
rating	double	Overall SP+ rating (Bill Connelly methodology, in points per game).
ypa	double
cmp_pct	double
sack	integer	Binary indicator for if the play ended in a sack.
x_cmp	double
cpoe	double	For a single pass play this is 1 - cp when the pass was completed or 0 - cp when the pass was incomplete. Analyzed for a whole game or season an indicator for the passer how much over or under expectation his completion percentage was.
db	integer
epa	double	Expected points added (EPA) by the posteam for the given play.
epa_db	double
avg_ttt	double
avg_ttp	double
avg_tts	double
qbp	integer
qbp_r	double
blitz_r	double
drop	integer
drop_r	double
ay	double	Acceleration of the pitch in the y-direction at y=50 ft (ft/s^2).
yac	double
x_yac	double
yac_pct	double
ay_att	double
avg_sep	double
deep_att_pct	double
tw_att_pct	double
pa_db_pct	double
qp	logical
cmp_pg	double
att_pg	double
yds_pg	double
td_pg	double
int_pg	double
sack_pg	double
db_pg	double
epa_pg	double
qbp_pg	double
drop_pg	double
tw_att_pg	double

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

Example

nfl_pro_players_offense_passing_season(season=2024, season_type='REG')

Last validated n/a.

nfl_pro_players_offense_passing_week

GET /api/secured/stats/players-offense/passing/week — one row per passer per week — quarterback passing incl. Next Gen time-to-throw, aggressiveness and CPOE.

Endpoint URL: GET https://pro.nfl.com/api/secured/stats/players-offense/passing/week

Valid URL: https://pro.nfl.com/api/secured/stats/players-offense/passing/week?season=2024&seasonType=REG

API Parameter	Python	Pattern	Required	Nullable	Description
season	season			Y	Season, as the STARTING year (2024 = the 2024-25 NFL season).
seasonType	season_type			Y	Season type code (string): PRE, REG, or POST -- not ESPN's numeric 1/2/3.
limit	limit			Y	Page size. Responses truncate silently at this many rows; the getter pages on offset until it has them all.
offset	offset			Y	Zero-based row offset. The getter pages on this automatically; set it only to fetch a specific slice.
sortKey	sort_key			Y	Field name to sort by, e.g. epa.
sortValue	sort_value			Y	Sort direction: ASC or DESC.
qualifiedPasser	qualified			Y	Restrict to players meeting the league qualifying threshold.
nflId	nfl_id			Y	Optional player filter; omit for the whole league-week table. Note week is a path scope here, not a query param.

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
nfl_id	character	NFL ID of player (this is used in Big Data Bowl Data)
display_name	character	Full name of player
short_name	character	Player short name (i.e. "F.Last")
headshot	character	NFL headshot url for player
team_id	character	ESPN team id.
jersey_number	integer	Jersey number. Often useful for joins by name/team/jersey.
position	character	Primary position as reported by NFL.com
position_group	character	Postion group of player as listed by NFL
ngs_position	character	Primary position as reported by the NextGen stats API.
ngs_position_group	character	Position group of player as listed by Next Gen Stats
gp	integer	Games played.
gs	integer	Games started.
tg	integer
total_tg	integer
week_slug	character
game_id	integer	Ten digit identifier for NFL game.
fapi_game_id	character
opponent_team_id	character	Unique identifier for the opponent team.
is_home	logical	Whether the subject team was the home team.
final_score	character
game_result	character	Game result for the player's team (W/L).
cmp	integer
att	integer
yds	integer
td	integer
int	integer	Binary flag for an interception.
rating	double	Overall SP+ rating (Bill Connelly methodology, in points per game).
ypa	double
cmp_pct	double
sack	integer	Binary indicator for if the play ended in a sack.
x_cmp	double
cpoe	double	For a single pass play this is 1 - cp when the pass was completed or 0 - cp when the pass was incomplete. Analyzed for a whole game or season an indicator for the passer how much over or under expectation his completion percentage was.
db	integer
epa	double	Expected points added (EPA) by the posteam for the given play.
epa_db	double
avg_ttt	double
avg_ttp	double
avg_tts	double
qbp	integer
qbp_r	double
blitz_r	double
drop	integer
drop_r	double
ay	double	Acceleration of the pitch in the y-direction at y=50 ft (ft/s^2).
yac	double
x_yac	double
yac_pct	double
ay_att	double
avg_sep	double
deep_att_pct	double
tw_att_pct	double
pa_db_pct	double
qp	logical
cmp_pg	integer
att_pg	integer
yds_pg	integer
td_pg	integer
int_pg	integer
sack_pg	integer
db_pg	integer
epa_pg	double
qbp_pg	integer
drop_pg	integer
tw_att_pg	integer

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

Example

nfl_pro_players_offense_passing_week(season=2024, season_type='REG')

Last validated n/a.

nfl_pro_players_offense_rushing_season

GET /api/secured/stats/players-offense/rushing/season — one row per rusher for the season — rushing incl. Next Gen efficiency, yards over expected and defenders-in-box.

Endpoint URL: GET https://pro.nfl.com/api/secured/stats/players-offense/rushing/season

Valid URL: https://pro.nfl.com/api/secured/stats/players-offense/rushing/season?season=2024&seasonType=REG

API Parameter	Python	Pattern	Required	Nullable	Description
season	season			Y	Season, as the STARTING year (2024 = the 2024-25 NFL season).
seasonType	season_type			Y	Season type code (string): PRE, REG, or POST -- not ESPN's numeric 1/2/3.
limit	limit			Y	Page size. Responses truncate silently at this many rows; the getter pages on offset until it has them all.
offset	offset			Y	Zero-based row offset. The getter pages on this automatically; set it only to fetch a specific slice.
sortKey	sort_key			Y	Field name to sort by, e.g. epa.
sortValue	sort_value			Y	Sort direction: ASC or DESC.
qualifiedRusher	qualified			Y	Restrict to players meeting the league qualifying threshold.

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
nfl_id	character	NFL ID of player (this is used in Big Data Bowl Data)
display_name	character	Full name of player
short_name	character	Player short name (i.e. "F.Last")
headshot	character	NFL headshot url for player
team_id	character	ESPN team id.
jersey_number	integer	Jersey number. Often useful for joins by name/team/jersey.
position	character	Primary position as reported by NFL.com
position_group	character	Postion group of player as listed by NFL
ngs_position	character	Primary position as reported by the NextGen stats API.
ngs_position_group	character	Position group of player as listed by Next Gen Stats
gp	integer	Games played.
gs	integer	Games started.
tg	integer
total_tg	integer
att	integer
yds	integer
td	integer
ypc	double
epa	double	Expected points added (EPA) by the posteam for the given play.
epa_att	double
x_ry	double
x_ypc	double
ryoe	double
ryoe_att	double
yaco	double
yaco_att	double
ybco	double
ybco_att	double
success	double	Binary indicator whether epa > 0 in the given play.
fum	integer
lost	integer
rush10_p_yds	integer
rush15_p_mph	integer
rush20_p_mph	integer
eff	double	Eff.
in_t_pct	double
st_box_pct	double
under_pct	double
qr	logical
att_pg	double
yds_pg	double
td_pg	double
epa_pg	double
x_ry_pg	double
ryoe_pg	double
yaco_pg	double
ybco_pg	double
fum_pg	double
lost_pg	double
rush10_p_yds_pg	double
rush15_p_mph_pg	double
rush20_p_mph_pg	double

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

Example

nfl_pro_players_offense_rushing_season(season=2024, season_type='REG')

Last validated n/a.

nfl_pro_players_offense_rushing_week

GET /api/secured/stats/players-offense/rushing/week — one row per rusher per week — rushing incl. Next Gen efficiency, yards over expected and defenders-in-box.

Endpoint URL: GET https://pro.nfl.com/api/secured/stats/players-offense/rushing/week

Valid URL: https://pro.nfl.com/api/secured/stats/players-offense/rushing/week?season=2024&seasonType=REG

API Parameter	Python	Pattern	Required	Nullable	Description
season	season			Y	Season, as the STARTING year (2024 = the 2024-25 NFL season).
seasonType	season_type			Y	Season type code (string): PRE, REG, or POST -- not ESPN's numeric 1/2/3.
limit	limit			Y	Page size. Responses truncate silently at this many rows; the getter pages on offset until it has them all.
offset	offset			Y	Zero-based row offset. The getter pages on this automatically; set it only to fetch a specific slice.
sortKey	sort_key			Y	Field name to sort by, e.g. epa.
sortValue	sort_value			Y	Sort direction: ASC or DESC.
qualifiedRusher	qualified			Y	Restrict to players meeting the league qualifying threshold.
nflId	nfl_id			Y	Optional player filter; omit for the whole league-week table. Note week is a path scope here, not a query param.

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
nfl_id	character	NFL ID of player (this is used in Big Data Bowl Data)
display_name	character	Full name of player
short_name	character	Player short name (i.e. "F.Last")
headshot	character	NFL headshot url for player
team_id	character	ESPN team id.
jersey_number	integer	Jersey number. Often useful for joins by name/team/jersey.
position	character	Primary position as reported by NFL.com
position_group	character	Postion group of player as listed by NFL
ngs_position	character	Primary position as reported by the NextGen stats API.
ngs_position_group	character	Position group of player as listed by Next Gen Stats
gp	integer	Games played.
gs	integer	Games started.
tg	integer
total_tg	integer
week_slug	character
game_id	integer	Ten digit identifier for NFL game.
fapi_game_id	character
opponent_team_id	character	Unique identifier for the opponent team.
is_home	logical	Whether the subject team was the home team.
final_score	character
game_result	character	Game result for the player's team (W/L).
att	integer
yds	integer
td	integer
ypc	double
epa	double	Expected points added (EPA) by the posteam for the given play.
epa_att	double
x_ry	double
x_ypc	double
ryoe	double
ryoe_att	double
yaco	double
yaco_att	double
ybco	double
ybco_att	double
success	double	Binary indicator whether epa > 0 in the given play.
fum	integer
lost	integer
rush10_p_yds	integer
rush15_p_mph	integer
rush20_p_mph	integer
eff	double	Eff.
in_t_pct	double
st_box_pct	integer
under_pct	double
qr	logical
att_pg	integer
yds_pg	integer
td_pg	integer
epa_pg	double
x_ry_pg	double
ryoe_pg	double
yaco_pg	double
ybco_pg	double
fum_pg	integer
lost_pg	integer
rush10_p_yds_pg	integer
rush15_p_mph_pg	integer
rush20_p_mph_pg	integer

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

Example

nfl_pro_players_offense_rushing_week(season=2024, season_type='REG')

Last validated n/a.

nfl_pro_players_offense_receiving_season

GET /api/secured/stats/players-offense/receiving/season — one row per receiver for the season — receiving incl. Next Gen separation, cushion and catch rate over expected.

Endpoint URL: GET https://pro.nfl.com/api/secured/stats/players-offense/receiving/season

Valid URL: https://pro.nfl.com/api/secured/stats/players-offense/receiving/season?season=2024&seasonType=REG

API Parameter	Python	Pattern	Required	Nullable	Description
season	season			Y	Season, as the STARTING year (2024 = the 2024-25 NFL season).
seasonType	season_type			Y	Season type code (string): PRE, REG, or POST -- not ESPN's numeric 1/2/3.
limit	limit			Y	Page size. Responses truncate silently at this many rows; the getter pages on offset until it has them all.
offset	offset			Y	Zero-based row offset. The getter pages on this automatically; set it only to fetch a specific slice.
sortKey	sort_key			Y	Field name to sort by, e.g. epa.
sortValue	sort_value			Y	Sort direction: ASC or DESC.
qualifiedReceiver	qualified			Y	Restrict to players meeting the league qualifying threshold.

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
nfl_id	character	NFL ID of player (this is used in Big Data Bowl Data)
display_name	character	Full name of player
short_name	character	Player short name (i.e. "F.Last")
headshot	character	NFL headshot url for player
team_id	character	ESPN team id.
jersey_number	integer	Jersey number. Often useful for joins by name/team/jersey.
position	character	Primary position as reported by NFL.com
position_group	character	Postion group of player as listed by NFL
ngs_position	character	Primary position as reported by the NextGen stats API.
ngs_position_group	character	Position group of player as listed by Next Gen Stats
gp	integer	Games played.
gs	integer	Games started.
tg	integer
total_tg	integer
rt	integer
tgt	integer
rec	integer
yds	integer
td	integer
int	integer	Binary flag for an interception.
rating	double	Overall SP+ rating (Bill Connelly methodology, in points per game).
catch	double
x_catch	double
croe	double
yds_rec	double
yds_rt	double
epa	double	Expected points added (EPA) by the posteam for the given play.
epa_tgt	double
epa_rt	double
drop	integer
drop_tgt	double
yac	integer
x_yac	integer
yacoe	integer
yac_rec	double
avg_sep	double
ay	double	Acceleration of the pitch in the y-direction at y=50 ft (ft/s^2).
ay_tgt	double
tgt_rt	double
avg_rt_dep	double
ez_tgt	integer
ez_rec	integer
deep_tgt_pct	double
tw_pct	double
qr	logical
rt_pg	double
tgt_pg	double
rec_pg	double
yds_pg	double
td_pg	double
int_pg	double
epa_pg	double
drop_pg	double
yac_pg	double
x_yac_pg	double
yacoe_pg	double
ay_pg	double
ez_tgt_pg	double
ez_rec_pg	double

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

Example

nfl_pro_players_offense_receiving_season(season=2024, season_type='REG')

Last validated n/a.

nfl_pro_players_offense_receiving_week

GET /api/secured/stats/players-offense/receiving/week — one row per receiver per week — receiving incl. Next Gen separation, cushion and catch rate over expected.

Endpoint URL: GET https://pro.nfl.com/api/secured/stats/players-offense/receiving/week

Valid URL: https://pro.nfl.com/api/secured/stats/players-offense/receiving/week?season=2024&seasonType=REG

API Parameter	Python	Pattern	Required	Nullable	Description
season	season			Y	Season, as the STARTING year (2024 = the 2024-25 NFL season).
seasonType	season_type			Y	Season type code (string): PRE, REG, or POST -- not ESPN's numeric 1/2/3.
limit	limit			Y	Page size. Responses truncate silently at this many rows; the getter pages on offset until it has them all.
offset	offset			Y	Zero-based row offset. The getter pages on this automatically; set it only to fetch a specific slice.
sortKey	sort_key			Y	Field name to sort by, e.g. epa.
sortValue	sort_value			Y	Sort direction: ASC or DESC.
qualifiedReceiver	qualified			Y	Restrict to players meeting the league qualifying threshold.
nflId	nfl_id			Y	Optional player filter; omit for the whole league-week table. Note week is a path scope here, not a query param.

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
nfl_id	character	NFL ID of player (this is used in Big Data Bowl Data)
display_name	character	Full name of player
short_name	character	Player short name (i.e. "F.Last")
headshot	character	NFL headshot url for player
team_id	character	ESPN team id.
jersey_number	integer	Jersey number. Often useful for joins by name/team/jersey.
position	character	Primary position as reported by NFL.com
position_group	character	Postion group of player as listed by NFL
ngs_position	character	Primary position as reported by the NextGen stats API.
ngs_position_group	character	Position group of player as listed by Next Gen Stats
gp	integer	Games played.
gs	integer	Games started.
tg	integer
total_tg	integer
week_slug	character
game_id	integer	Ten digit identifier for NFL game.
fapi_game_id	character
opponent_team_id	character	Unique identifier for the opponent team.
is_home	logical	Whether the subject team was the home team.
final_score	character
game_result	character	Game result for the player's team (W/L).
rt	integer
tgt	integer
rec	integer
yds	integer
td	integer
int	integer	Binary flag for an interception.
rating	integer	Overall SP+ rating (Bill Connelly methodology, in points per game).
catch	integer
x_catch	integer
croe	integer
yds_rec	integer
yds_rt	integer
epa	integer	Expected points added (EPA) by the posteam for the given play.
epa_tgt	integer
epa_rt	integer
drop	integer
drop_tgt	integer
yac	integer
x_yac	integer
yacoe	integer
yac_rec	integer
avg_sep	integer
ay	integer	Acceleration of the pitch in the y-direction at y=50 ft (ft/s^2).
ay_tgt	integer
tgt_rt	integer
avg_rt_dep	integer
ez_tgt	integer
ez_rec	integer
deep_tgt_pct	integer
tw_pct	integer
qr	logical
rt_pg	integer
tgt_pg	integer
rec_pg	integer
yds_pg	integer
td_pg	integer
int_pg	integer
epa_pg	integer
drop_pg	integer
yac_pg	integer
x_yac_pg	integer
yacoe_pg	integer
ay_pg	integer
ez_tgt_pg	integer
ez_rec_pg	integer

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

Example

nfl_pro_players_offense_receiving_week(season=2024, season_type='REG')

Last validated n/a.

nfl_pro_defense_overview_season

GET /api/secured/stats/defense/overview/season — one row per defender for the season — defensive overview incl. snap counts, pressures and havoc stops.

Endpoint URL: GET https://pro.nfl.com/api/secured/stats/defense/overview/season

Valid URL: https://pro.nfl.com/api/secured/stats/defense/overview/season?season=2024&seasonType=REG

API Parameter	Python	Pattern	Required	Nullable	Description
season	season			Y	Season, as the STARTING year (2024 = the 2024-25 NFL season).
seasonType	season_type			Y	Season type code (string): PRE, REG, or POST -- not ESPN's numeric 1/2/3.
limit	limit			Y	Page size. Responses truncate silently at this many rows; the getter pages on offset until it has them all.
offset	offset			Y	Zero-based row offset. The getter pages on this automatically; set it only to fetch a specific slice.
sortKey	sort_key			Y	Field name to sort by, e.g. epa.
sortValue	sort_value			Y	Sort direction: ASC or DESC.
qualifiedDefender	qualified			Y	Restrict to players meeting the league qualifying threshold.

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
nfl_id	character	NFL ID of player (this is used in Big Data Bowl Data)
display_name	character	Full name of player
short_name	character	Player short name (i.e. "F.Last")
headshot	character	NFL headshot url for player
team_id	character	ESPN team id.
jersey_number	integer	Jersey number. Often useful for joins by name/team/jersey.
position	character	Primary position as reported by NFL.com
position_group	character	Postion group of player as listed by NFL
ngs_position	character	Primary position as reported by the NextGen stats API.
ngs_position_group	character	Position group of player as listed by Next Gen Stats
gp	integer	Games played.
gs	integer	Games started.
tg	integer
total_tg	integer
snap	integer
snap_pct	double
rd	integer
pr	integer
tck	integer
t_stop	integer
h_stop	integer
qbp	integer
qbp_r	double
sack	double	Binary indicator for if the play ended in a sack.
tgt_nd	integer
rec_nd	integer
rec_yds_nd	integer
rec_td_nd	integer
int	integer	Binary flag for an interception.
pass_rating_nd	double
qd	logical
game_snap	integer
team_snap	integer

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

Example

nfl_pro_defense_overview_season(season=2024, season_type='REG')

Last validated n/a.

nfl_pro_defense_overview_week

GET /api/secured/stats/defense/overview/week — one row per defender per week — defensive overview incl. snap counts, pressures and havoc stops.

Endpoint URL: GET https://pro.nfl.com/api/secured/stats/defense/overview/week

Valid URL: https://pro.nfl.com/api/secured/stats/defense/overview/week?season=2024&seasonType=REG

API Parameter	Python	Pattern	Required	Nullable	Description
season	season			Y	Season, as the STARTING year (2024 = the 2024-25 NFL season).
seasonType	season_type			Y	Season type code (string): PRE, REG, or POST -- not ESPN's numeric 1/2/3.
limit	limit			Y	Page size. Responses truncate silently at this many rows; the getter pages on offset until it has them all.
offset	offset			Y	Zero-based row offset. The getter pages on this automatically; set it only to fetch a specific slice.
sortKey	sort_key			Y	Field name to sort by, e.g. epa.
sortValue	sort_value			Y	Sort direction: ASC or DESC.
qualifiedDefender	qualified			Y	Restrict to players meeting the league qualifying threshold.
nflId	nfl_id			Y	Optional player filter; omit for the whole league-week table. Note week is a path scope here, not a query param.

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
nfl_id	character	NFL ID of player (this is used in Big Data Bowl Data)
display_name	character	Full name of player
short_name	character	Player short name (i.e. "F.Last")
headshot	character	NFL headshot url for player
team_id	character	ESPN team id.
jersey_number	integer	Jersey number. Often useful for joins by name/team/jersey.
position	character	Primary position as reported by NFL.com
position_group	character	Postion group of player as listed by NFL
ngs_position	character	Primary position as reported by the NextGen stats API.
ngs_position_group	character	Position group of player as listed by Next Gen Stats
gp	integer	Games played.
gs	integer	Games started.
tg	integer
total_tg	integer
week_slug	character
game_id	integer	Ten digit identifier for NFL game.
fapi_game_id	character
opponent_team_id	character	Unique identifier for the opponent team.
is_home	logical	Whether the subject team was the home team.
final_score	character
game_result	character	Game result for the player's team (W/L).
snap	integer
snap_pct	double
rd	integer
pr	integer
tck	integer
t_stop	integer
h_stop	integer
qbp	integer
qbp_r	double
sack	integer	Binary indicator for if the play ended in a sack.
tgt_nd	integer
rec_nd	integer
rec_yds_nd	integer
rec_td_nd	integer
int	integer	Binary flag for an interception.
pass_rating_nd	double
qd	logical
game_snap	integer
team_snap	integer

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

Example

nfl_pro_defense_overview_week(season=2024, season_type='REG')

Last validated n/a.

nfl_pro_defense_nearest_season

GET /api/secured/stats/defense/nearest/season — one row per defender for the season — nearest-defender coverage incl. targets, catch rate and CROE allowed.

Endpoint URL: GET https://pro.nfl.com/api/secured/stats/defense/nearest/season

Valid URL: https://pro.nfl.com/api/secured/stats/defense/nearest/season?season=2024&seasonType=REG

API Parameter	Python	Pattern	Required	Nullable	Description
season	season			Y	Season, as the STARTING year (2024 = the 2024-25 NFL season).
seasonType	season_type			Y	Season type code (string): PRE, REG, or POST -- not ESPN's numeric 1/2/3.
limit	limit			Y	Page size. Responses truncate silently at this many rows; the getter pages on offset until it has them all.
offset	offset			Y	Zero-based row offset. The getter pages on this automatically; set it only to fetch a specific slice.
sortKey	sort_key			Y	Field name to sort by, e.g. epa.
sortValue	sort_value			Y	Sort direction: ASC or DESC.
qualifiedDefender	qualified			Y	Restrict to players meeting the league qualifying threshold.

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
nfl_id	character	NFL ID of player (this is used in Big Data Bowl Data)
display_name	character	Full name of player
short_name	character	Player short name (i.e. "F.Last")
headshot	character	NFL headshot url for player
team_id	character	ESPN team id.
jersey_number	integer	Jersey number. Often useful for joins by name/team/jersey.
position	character	Primary position as reported by NFL.com
position_group	character	Postion group of player as listed by NFL
ngs_position	character	Primary position as reported by the NextGen stats API.
ngs_position_group	character	Position group of player as listed by Next Gen Stats
gp	integer	Games played.
gs	integer	Games started.
tg	integer
total_tg	integer
cov	integer
cov_nd	integer
tgt_nd	integer
rec_nd	integer
rec_yds_nd	integer
rec_td_nd	integer
int	integer	Binary flag for an interception.
pass_rating_nd	double
catch_nd	double
croe_nd	double
tgt_epa_nd	double
tgt_r_nd	double
sep	double
twf_pct	double
bh_pct	double
yacpr_nd	double
qd	logical
game_snap	integer
team_snap	integer

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

Example

nfl_pro_defense_nearest_season(season=2024, season_type='REG')

Last validated n/a.

nfl_pro_defense_nearest_week

GET /api/secured/stats/defense/nearest/week — one row per defender per week — nearest-defender coverage incl. targets, catch rate and CROE allowed.

Endpoint URL: GET https://pro.nfl.com/api/secured/stats/defense/nearest/week

Valid URL: https://pro.nfl.com/api/secured/stats/defense/nearest/week?season=2024&seasonType=REG

API Parameter	Python	Pattern	Required	Nullable	Description
season	season			Y	Season, as the STARTING year (2024 = the 2024-25 NFL season).
seasonType	season_type			Y	Season type code (string): PRE, REG, or POST -- not ESPN's numeric 1/2/3.
limit	limit			Y	Page size. Responses truncate silently at this many rows; the getter pages on offset until it has them all.
offset	offset			Y	Zero-based row offset. The getter pages on this automatically; set it only to fetch a specific slice.
sortKey	sort_key			Y	Field name to sort by, e.g. epa.
sortValue	sort_value			Y	Sort direction: ASC or DESC.
qualifiedDefender	qualified			Y	Restrict to players meeting the league qualifying threshold.
nflId	nfl_id			Y	Optional player filter; omit for the whole league-week table. Note week is a path scope here, not a query param.

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
nfl_id	character	NFL ID of player (this is used in Big Data Bowl Data)
display_name	character	Full name of player
short_name	character	Player short name (i.e. "F.Last")
headshot	character	NFL headshot url for player
team_id	character	ESPN team id.
jersey_number	integer	Jersey number. Often useful for joins by name/team/jersey.
position	character	Primary position as reported by NFL.com
position_group	character	Postion group of player as listed by NFL
ngs_position	character	Primary position as reported by the NextGen stats API.
ngs_position_group	character	Position group of player as listed by Next Gen Stats
gp	integer	Games played.
gs	integer	Games started.
tg	integer
total_tg	integer
week_slug	character
game_id	integer	Ten digit identifier for NFL game.
fapi_game_id	character
opponent_team_id	character	Unique identifier for the opponent team.
is_home	logical	Whether the subject team was the home team.
final_score	character
game_result	character	Game result for the player's team (W/L).
cov	integer
cov_nd	integer
tgt_nd	integer
rec_nd	integer
rec_yds_nd	integer
rec_td_nd	integer
int	integer	Binary flag for an interception.
pass_rating_nd	double
catch_nd	double
croe_nd	double
tgt_epa_nd	double
tgt_r_nd	double
sep	double
twf_pct	integer
bh_pct	double
yacpr_nd	double
qd	logical
game_snap	integer
team_snap	integer

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

Example

nfl_pro_defense_nearest_week(season=2024, season_type='REG')

Last validated n/a.

nfl_pro_team_offense_overview_season

GET /api/secured/stats/team-offense/overview/season — one row per team for the season — team offensive overview incl. EPA per play, pass and rush splits.

Endpoint URL: GET https://pro.nfl.com/api/secured/stats/team-offense/overview/season

Valid URL: https://pro.nfl.com/api/secured/stats/team-offense/overview/season?season=2024&seasonType=REG

API Parameter	Python	Pattern	Required	Nullable	Description
season	season			Y	Season, as the STARTING year (2024 = the 2024-25 NFL season).
seasonType	season_type			Y	Season type code (string): PRE, REG, or POST -- not ESPN's numeric 1/2/3.
limit	limit			Y	Page size. Responses truncate silently at this many rows; the getter pages on offset until it has them all.
offset	offset			Y	Zero-based row offset. The getter pages on this automatically; set it only to fetch a specific slice.
sortKey	sort_key			Y	Field name to sort by, e.g. epa.
sortValue	sort_value			Y	Sort direction: ASC or DESC.

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
team_id	character	ESPN team id.
gp	integer	Games played.
total	integer	The sum of each team's score in the game. Equals h_score + v_score. Is NA for games which haven't yet been played. Convenient for evaluating over/under total bets.
pass	integer	Binary indicator if the play was a pass play (sacks and scrambles included).
run	integer	Expected Points Added on run plays
pass_pct	double
ppg	double	Points per game.
yds	integer
ypg	double
ypp	double
td	integer
epa	double	Expected points added (EPA) by the posteam for the given play.
epa_pp	double
pass_yds	integer
pass_ypg	double
pass_ypp	double
sacked_yds	integer
sacked_ypg	double
epa_pass	double
epa_pass_pp	double
rush_yds	integer	Rushing yards gained on the play.
rush_ypg	double
rush_ypp	double
epa_rush	double
epa_rush_pp	double
ryoe	double
ttt	double
qbp	integer
qbp_pct	double

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

Example

nfl_pro_team_offense_overview_season(season=2024, season_type='REG')

Last validated n/a.

nfl_pro_team_offense_overview_week

GET /api/secured/stats/team-offense/overview/week — one row per team per week — team offensive overview incl. EPA per play, pass and rush splits.

Endpoint URL: GET https://pro.nfl.com/api/secured/stats/team-offense/overview/week

Valid URL: https://pro.nfl.com/api/secured/stats/team-offense/overview/week?season=2024&seasonType=REG

API Parameter	Python	Pattern	Required	Nullable	Description
season	season			Y	Season, as the STARTING year (2024 = the 2024-25 NFL season).
seasonType	season_type			Y	Season type code (string): PRE, REG, or POST -- not ESPN's numeric 1/2/3.
limit	limit			Y	Page size. Responses truncate silently at this many rows; the getter pages on offset until it has them all.
offset	offset			Y	Zero-based row offset. The getter pages on this automatically; set it only to fetch a specific slice.
sortKey	sort_key			Y	Field name to sort by, e.g. epa.
sortValue	sort_value			Y	Sort direction: ASC or DESC.

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
team_id	character	ESPN team id.
gp	integer	Games played.
total	integer	The sum of each team's score in the game. Equals h_score + v_score. Is NA for games which haven't yet been played. Convenient for evaluating over/under total bets.
pass	integer	Binary indicator if the play was a pass play (sacks and scrambles included).
run	integer	Expected Points Added on run plays
pass_pct	double
ppg	integer	Points per game.
yds	integer
ypg	integer
ypp	double
td	integer
epa	double	Expected points added (EPA) by the posteam for the given play.
epa_pp	double
pass_yds	integer
pass_ypg	integer
pass_ypp	double
sacked_yds	integer
sacked_ypg	integer
epa_pass	double
epa_pass_pp	double
rush_yds	integer	Rushing yards gained on the play.
rush_ypg	integer
rush_ypp	double
epa_rush	double
epa_rush_pp	double
ryoe	double
ttt	double
qbp	integer
qbp_pct	double
week_slug	character
opponent_team_id	character	Unique identifier for the opponent team.
game_result	character	Game result for the player's team (W/L).
final_score	character
is_home	logical	Whether the subject team was the home team.
game_id	integer	Ten digit identifier for NFL game.
fapi_game_id	character

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

Example

nfl_pro_team_offense_overview_week(season=2024, season_type='REG')

Last validated n/a.

nfl_pro_team_defense_overview_season

GET /api/secured/stats/team-defense/overview/season — one row per team for the season — team defensive overview incl. EPA allowed per play and takeaways.

Endpoint URL: GET https://pro.nfl.com/api/secured/stats/team-defense/overview/season

Valid URL: https://pro.nfl.com/api/secured/stats/team-defense/overview/season?season=2024&seasonType=REG

API Parameter	Python	Pattern	Required	Nullable	Description
season	season			Y	Season, as the STARTING year (2024 = the 2024-25 NFL season).
seasonType	season_type			Y	Season type code (string): PRE, REG, or POST -- not ESPN's numeric 1/2/3.
limit	limit			Y	Page size. Responses truncate silently at this many rows; the getter pages on offset until it has them all.
offset	offset			Y	Zero-based row offset. The getter pages on this automatically; set it only to fetch a specific slice.
sortKey	sort_key			Y	Field name to sort by, e.g. epa.
sortValue	sort_value			Y	Sort direction: ASC or DESC.

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
team_id	character	ESPN team id.
gp	integer	Games played.
total	integer	The sum of each team's score in the game. Equals h_score + v_score. Is NA for games which haven't yet been played. Convenient for evaluating over/under total bets.
pass	integer	Binary indicator if the play was a pass play (sacks and scrambles included).
run	integer	Expected Points Added on run plays
pass_pct	double
ppg	double	Points per game.
yds	integer
ypg	double
ypp	double
td	integer
pass_td	integer	Binary flag for a passing touchdown.
rush_td	integer	Binary flag for a rushing touchdown.
epa	double	Expected points added (EPA) by the posteam for the given play.
epa_pp	double
pass_yds	integer
pass_ypg	double
pass_ypp	double
sacked_yds	integer
sacked_ypg	double
epa_pass	double
epa_pass_pp	double
rush_yds	integer	Rushing yards gained on the play.
rush_ypg	double
rush_ypp	double
epa_rush	double
epa_rush_pp	double
ryoe	double
ttt	double
qbp	integer
qbp_pct	double
interception	integer	Binary indicator for if the pass was intercepted.
forced_fumble	integer
fumble_recovered	integer
defensive_touchdown	integer
total_takeaways	integer

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

Example

nfl_pro_team_defense_overview_season(season=2024, season_type='REG')

Last validated n/a.

nfl_pro_team_defense_overview_week

GET /api/secured/stats/team-defense/overview/week — one row per team per week — team defensive overview incl. EPA allowed per play and takeaways.

Endpoint URL: GET https://pro.nfl.com/api/secured/stats/team-defense/overview/week

Valid URL: https://pro.nfl.com/api/secured/stats/team-defense/overview/week?season=2024&seasonType=REG

API Parameter	Python	Pattern	Required	Nullable	Description
season	season			Y	Season, as the STARTING year (2024 = the 2024-25 NFL season).
seasonType	season_type			Y	Season type code (string): PRE, REG, or POST -- not ESPN's numeric 1/2/3.
limit	limit			Y	Page size. Responses truncate silently at this many rows; the getter pages on offset until it has them all.
offset	offset			Y	Zero-based row offset. The getter pages on this automatically; set it only to fetch a specific slice.
sortKey	sort_key			Y	Field name to sort by, e.g. epa.
sortValue	sort_value			Y	Sort direction: ASC or DESC.

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
team_id	character	ESPN team id.
gp	integer	Games played.
total	integer	The sum of each team's score in the game. Equals h_score + v_score. Is NA for games which haven't yet been played. Convenient for evaluating over/under total bets.
pass	integer	Binary indicator if the play was a pass play (sacks and scrambles included).
run	integer	Expected Points Added on run plays
pass_pct	double
ppg	integer	Points per game.
yds	integer
ypg	integer
ypp	double
td	integer
pass_td	integer	Binary flag for a passing touchdown.
rush_td	integer	Binary flag for a rushing touchdown.
epa	double	Expected points added (EPA) by the posteam for the given play.
epa_pp	double
pass_yds	integer
pass_ypg	integer
pass_ypp	double
sacked_yds	integer
sacked_ypg	integer
epa_pass	double
epa_pass_pp	double
rush_yds	integer	Rushing yards gained on the play.
rush_ypg	integer
rush_ypp	double
epa_rush	double
epa_rush_pp	double
ryoe	double
ttt	double
qbp	integer
qbp_pct	double
interception	integer	Binary indicator for if the pass was intercepted.
forced_fumble	integer
fumble_recovered	integer
defensive_touchdown	integer
total_takeaways	integer
week_slug	character
opponent_team_id	character	Unique identifier for the opponent team.
game_result	character	Game result for the player's team (W/L).
final_score	character
is_home	logical	Whether the subject team was the home team.
game_id	integer	Ten digit identifier for NFL game.
fapi_game_id	character

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

Example

nfl_pro_team_defense_overview_week(season=2024, season_type='REG')

Last validated n/a.

nfl_pro_fantasy_season

GET /api/secured/stats/fantasy/season — one row per player for the season — fantasy points, opportunity and usage.

Endpoint URL: GET https://pro.nfl.com/api/secured/stats/fantasy/season

Valid URL: https://pro.nfl.com/api/secured/stats/fantasy/season?season=2024&seasonType=REG

API Parameter	Python	Pattern	Required	Nullable	Description
season	season			Y	Season, as the STARTING year (2024 = the 2024-25 NFL season).
seasonType	season_type			Y	Season type code (string): PRE, REG, or POST -- not ESPN's numeric 1/2/3.
limit	limit			Y	Page size. Responses truncate silently at this many rows; the getter pages on offset until it has them all.
offset	offset			Y	Zero-based row offset. The getter pages on this automatically; set it only to fetch a specific slice.
nflId	nfl_id			Y	Optional player filter.
positionGroup	position_group			Y	Optional position-group filter, e.g. QB. Optional on this season scope — it is the game scope that requires it.
sortKey	sort_key			Y	Field name to sort by, e.g. fpHalfPPR.
sortValue	sort_value			Y	Sort direction: ASC or DESC.

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
nfl_id	character	NFL ID of player (this is used in Big Data Bowl Data)
display_name	character	Full name of player
short_name	character	Player short name (i.e. "F.Last")
headshot	character	NFL headshot url for player
team_id	character	ESPN team id.
jersey_number	integer	Jersey number. Often useful for joins by name/team/jersey.
position	character	Primary position as reported by NFL.com
position_group	character	Postion group of player as listed by NFL
gp	integer	Games played.
gs	integer	Games started.
o_snap	integer
o_snap3rd	integer
o_tm_snap	integer
o_snap_pg	double
pt_pct	double
pt_pct3rd	double
pass_cmp	integer
pass_att	integer
pass_yd	integer
pass_td	integer	Binary flag for a passing touchdown.
pass_int	integer
pass_two_pt_conv	integer
pass_db	integer
pass_cmp_pct	double
pass_exp_cmp_pct	double
pass_cpoe	double
pass_rating	double
pass_avg_ttt	double
pass_ay_pa	double
pass_deep_att_pct	double
pass_yac_pct	double
pass_qbp	integer
pass_qbp_pct	double
pass_sack	integer
pass_sack_pg	double
pass_cmp_pg	double
pass_att_pg	double
pass_yd_pg	double
pass_td_pg	double
pass_int_pg	double
pass_db_pg	double
rush_att	integer
rush_yd	integer
rush_td	integer	Binary flag for a rushing touchdown.
rush_two_pt_conv	integer
rush_exp_yd	integer
rush_ryoe	integer
rush_att_pg	double
rush_yd_pg	double
rush_yd_pa	double
rush_yaco	double
rush_ybco	double
rush_yaco_pa	double
rush_ybco_pa	double
rush_stuffed	integer
rush_td_pg	double
scr_rush_att	integer
scr_rush_yd	integer
scr_rush_td	integer
scr_rush_pct	double
design_rush_att	integer
design_rush_yd	integer
design_rush_td	integer
rush_rz_att	integer
rush_gl_att	integer
rush10_plus_yd	integer
rec_rt	integer
rec_tgt	integer
rec_rec	integer
rec_yd	integer
rec_td	integer
rec_two_pt_conv	integer
rec_rt_pg	double
rec_tgt_pg	double
rec_rec_pg	double
rec_yd_pg	double
rec_td_pg	double
rec_catch_pct	double
rec_ay_share	double
rec_tgt_rate	double
rec_tgt_share	double
rec_rt_part_pct	double
rec_tgt_quick	integer
rec_tgt_play_act	integer
rec_ez_tgt	integer
rec_ez_rec	integer
rec_rz_tgt	integer
rec_ay_tgt	integer
rec_ay_rec	integer
rec_ay_unrealized	integer
rec_ay_pt	double
rec_tgt_ay10_plus	integer
rec_yd_p_rt	double
rec_yd_pt	double
rec_yd_pr	double
rec_yac	integer
rec_exp_yac	integer
rec_yacoe	integer
kick_xp_att	integer
kick_xp_made	integer
kick_fg_att	integer
kick_fg_made	integer
kick_fg_miss	integer
kick_fg_made_less40	integer
kick_fg_made40_to49	integer
kick_fg_made50_to59	integer
kick_fg_made60_plus	integer
misc_kickoff_ret_td	integer
misc_punt_ret_td	integer
misc_fum_rec_td	integer
misc_fum_lost	integer
misc_fum	integer
misc_int_ret_td	integer
misc_fum_ret_td	integer
misc_blk_punt_fg_ret_td	integer
misc_two_pt_ret	integer
misc_one_pt_safety	integer
o_touch	integer
o_opp	integer
o_opp_pg	double
o_miss_tkl_forced	integer
o_miss_tkl_forced_pct	double
o_tm_db	integer
o_tm_pass_pct	double
o_tm_ppg	double
o_tm_yd_pg	double
rz_opp	integer
fp_std	double
fp_half_ppr	double
fp_ppr	double
fp_pass	double
fp_rush	double
fp_rec_std	double
fp_rec_half_ppr	double
fp_rec_ppr	double
fp_kick	integer
fp_misc	integer
fp_pg_std	double
fp_pg_half_ppr	double
fp_pgppr	double
fp_pos_rk_std	integer
fp_pos_rk_half_ppr	integer
fp_pos_rk_ppr	integer
fp_pos_rk_lbl_std	character
fp_pos_rk_lbl_half_ppr	character
fp_pos_rk_lbl_ppr	character
fp_ps_std	double
fp_ps_half_ppr	double
fp_psppr	double
fp_p_rt_std	double
fp_p_rt_half_ppr	double
fp_p_rt_ppr	double
fp_pt_std	double
fp_pt_half_ppr	double
fp_ptppr	double
fp_po_std	double
fp_po_half_ppr	double
fp_poppr	double
top5_qb_wk_std	integer
top12_qb_wk_std	integer
top12_rb_wk_std	integer
top24_rb_wk_std	integer
top12_wr_wk_std	integer
top24_wr_wk_std	integer
top36_wr_wk_std	integer
top5_te_wk_std	integer
top12_te_wk_std	integer
top5_k_wk_std	integer
top12_k_wk_std	integer
top5_qb_wk_half_ppr	integer
top12_qb_wk_half_ppr	integer
top12_rb_wk_half_ppr	integer
top24_rb_wk_half_ppr	integer
top12_wr_wk_half_ppr	integer
top24_wr_wk_half_ppr	integer
top36_wr_wk_half_ppr	integer
top5_te_wk_half_ppr	integer
top12_te_wk_half_ppr	integer
top5_k_wk_half_ppr	integer
top12_k_wk_half_ppr	integer
top5_qb_wk_ppr	integer
top12_qb_wk_ppr	integer
top12_rb_wk_ppr	integer
top24_rb_wk_ppr	integer
top12_wr_wk_ppr	integer
top24_wr_wk_ppr	integer
top36_wr_wk_ppr	integer
top5_te_wk_ppr	integer
top12_te_wk_ppr	integer
top5_k_wk_ppr	integer
top12_k_wk_ppr	integer

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

Example

nfl_pro_fantasy_season(season=2024, season_type='REG')

Last validated n/a.

nfl_pro_fantasy_game

GET /api/secured/stats/fantasy/game — one row per player-game — fantasy scoring by game. Requires position_group.

Endpoint URL: GET https://pro.nfl.com/api/secured/stats/fantasy/game

Valid URL: https://pro.nfl.com/api/secured/stats/fantasy/game?season=2024&seasonType=REG&positionGroup=QB

API Parameter	Python	Pattern	Required	Nullable	Description
season	season			Y	Season, as the STARTING year (2024 = the 2024-25 NFL season).
seasonType	season_type			Y	Season type code (string): PRE, REG, or POST -- not ESPN's numeric 1/2/3.
limit	limit			Y	Page size. Responses truncate silently at this many rows; the getter pages on offset until it has them all.
offset	offset			Y	Zero-based row offset. The getter pages on this automatically; set it only to fetch a specific slice.
nflId	nfl_id			Y	Optional player filter.
positionGroup	position_group		Y		Position group, e.g. QB. Required: this scope returns HTTP 500 without it, so it is a required argument rather than an optional filter.
sortKey	sort_key			Y	Field name to sort by, e.g. fpHalfPPR.
sortValue	sort_value			Y	Sort direction: ASC or DESC.

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
nfl_id	character	NFL ID of player (this is used in Big Data Bowl Data)
display_name	character	Full name of player
short_name	character	Player short name (i.e. "F.Last")
headshot	character	NFL headshot url for player
team_id	character	ESPN team id.
jersey_number	integer	Jersey number. Often useful for joins by name/team/jersey.
position	character	Primary position as reported by NFL.com
position_group	character	Postion group of player as listed by NFL
gp	integer	Games played.
gs	integer	Games started.
week_slug	character
game_id	integer	Ten digit identifier for NFL game.
fapi_game_id	character
opponent_team_id	character	Unique identifier for the opponent team.
is_home	logical	Whether the subject team was the home team.
final_score	character
game_result	character	Game result for the player's team (W/L).
o_snap	integer
o_snap3rd	integer
o_tm_snap	integer
o_snap_pg	integer
pt_pct	double
pt_pct3rd	double
pass_cmp	integer
pass_att	integer
pass_yd	integer
pass_td	integer	Binary flag for a passing touchdown.
pass_int	integer
pass_two_pt_conv	integer
pass_db	integer
pass_cmp_pct	double
pass_exp_cmp_pct	double
pass_cpoe	double
pass_rating	double
pass_avg_ttt	double
pass_ay_pa	double
pass_deep_att_pct	double
pass_yac_pct	double
pass_qbp	integer
pass_qbp_pct	double
pass_sack	integer
pass_sack_pg	integer
pass_cmp_pg	integer
pass_att_pg	integer
pass_yd_pg	integer
pass_td_pg	integer
pass_int_pg	integer
pass_db_pg	integer
rush_att	integer
rush_yd	integer
rush_td	integer	Binary flag for a rushing touchdown.
rush_two_pt_conv	integer
rush_exp_yd	integer
rush_ryoe	integer
rush_att_pg	integer
rush_yd_pg	integer
rush_yd_pa	double
rush_yaco	double
rush_ybco	double
rush_yaco_pa	double
rush_ybco_pa	double
rush_stuffed	integer
rush_td_pg	integer
scr_rush_att	integer
scr_rush_yd	integer
scr_rush_td	integer
scr_rush_pct	double
design_rush_att	integer
design_rush_yd	integer
design_rush_td	integer
rush_rz_att	integer
rush_gl_att	integer
rush10_plus_yd	integer
rec_rt	integer
rec_tgt	integer
rec_rec	integer
rec_yd	integer
rec_td	integer
rec_two_pt_conv	integer
rec_rt_pg	integer
rec_tgt_pg	integer
rec_rec_pg	integer
rec_yd_pg	integer
rec_td_pg	integer
rec_catch_pct	integer
rec_ay_share	integer
rec_tgt_rate	integer
rec_tgt_share	integer
rec_rt_part_pct	double
rec_tgt_quick	integer
rec_tgt_play_act	integer
rec_ez_tgt	integer
rec_ez_rec	integer
rec_rz_tgt	integer
rec_ay_tgt	integer
rec_ay_rec	integer
rec_ay_unrealized	integer
rec_ay_pt	integer
rec_tgt_ay10_plus	integer
rec_yd_p_rt	integer
rec_yd_pt	integer
rec_yd_pr	integer
rec_yac	integer
rec_exp_yac	integer
rec_yacoe	integer
kick_xp_att	integer
kick_xp_made	integer
kick_fg_att	integer
kick_fg_made	integer
kick_fg_miss	integer
kick_fg_made_less40	integer
kick_fg_made40_to49	integer
kick_fg_made50_to59	integer
kick_fg_made60_plus	integer
misc_kickoff_ret_td	integer
misc_punt_ret_td	integer
misc_fum_rec_td	integer
misc_fum_lost	integer
misc_fum	integer
misc_int_ret_td	integer
misc_fum_ret_td	integer
misc_blk_punt_fg_ret_td	integer
misc_two_pt_ret	integer
misc_one_pt_safety	integer
o_touch	integer
o_opp	integer
o_opp_pg	integer
o_miss_tkl_forced	integer
o_miss_tkl_forced_pct	integer
o_tm_db	integer
o_tm_pass_pct	double
o_tm_ppg	integer
o_tm_yd_pg	integer
rz_opp	integer
fp_std	double
fp_half_ppr	double
fp_ppr	double
fp_pass	double
fp_rush	double
fp_rec_std	integer
fp_rec_half_ppr	integer
fp_rec_ppr	integer
fp_kick	integer
fp_misc	integer
fp_pg_std	double
fp_pg_half_ppr	double
fp_pgppr	double
fp_pos_rk_std	integer
fp_pos_rk_half_ppr	integer
fp_pos_rk_ppr	integer
fp_pos_rk_lbl_std	character
fp_pos_rk_lbl_half_ppr	character
fp_pos_rk_lbl_ppr	character
fp_ps_std	double
fp_ps_half_ppr	double
fp_psppr	double
fp_p_rt_std	double
fp_p_rt_half_ppr	double
fp_p_rt_ppr	double
fp_pt_std	integer
fp_pt_half_ppr	integer
fp_ptppr	integer
fp_po_std	double
fp_po_half_ppr	double
fp_poppr	double
top5_qb_wk_std	integer
top12_qb_wk_std	integer
top12_rb_wk_std	integer
top24_rb_wk_std	integer
top12_wr_wk_std	integer
top24_wr_wk_std	integer
top36_wr_wk_std	integer
top5_te_wk_std	integer
top12_te_wk_std	integer
top5_k_wk_std	integer
top12_k_wk_std	integer
top5_qb_wk_half_ppr	integer
top12_qb_wk_half_ppr	integer
top12_rb_wk_half_ppr	integer
top24_rb_wk_half_ppr	integer
top12_wr_wk_half_ppr	integer
top24_wr_wk_half_ppr	integer
top36_wr_wk_half_ppr	integer
top5_te_wk_half_ppr	integer
top12_te_wk_half_ppr	integer
top5_k_wk_half_ppr	integer
top12_k_wk_half_ppr	integer
top5_qb_wk_ppr	integer
top12_qb_wk_ppr	integer
top12_rb_wk_ppr	integer
top24_rb_wk_ppr	integer
top12_wr_wk_ppr	integer
top24_wr_wk_ppr	integer
top36_wr_wk_ppr	integer
top5_te_wk_ppr	integer
top12_te_wk_ppr	integer
top5_k_wk_ppr	integer
top12_k_wk_ppr	integer

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

Example

nfl_pro_fantasy_game(season=2024, season_type='REG', position_group='QB')

Last validated n/a.