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Datasets:
Karmane
/
nfl-weather-quarterback-passing-research

Tasks:
Tabular Regression
Modalities:
Tabular
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
Tags:
nfl
nfl-weather
quarterback
passing-props
sports
sports-analytics
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
xet
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NFL Weather and Quarterback Passing Dataset for Prop Research

Question this dataset helps answer: Which NFL quarterbacks historically lose or sustain attempts, passing yards, and touchdown production in wind, cold, or outdoor game environments before building prop or fantasy research workflows?

This dataset helps sports researchers, fantasy analysts, and passing-prop workflow builders compare NFL quarterback weather environments using listed starting-quarterback game rows with pregame wind, temperature, roof, implied team total, rolling passing-form, and opponent quarterback-defense allowance signals.

Use the public sample to check:

  • How many outdoor, cold, or high-wind quarterback rows are covered in the preview
  • Which columns are valid pre-event features versus postgame outcomes
  • Whether the schema already supports wind-split, implied-total, and recent-form filtering

Preview vs full dataset:

  • Preview: 696 rows and 120 columns
  • Full: 13,939 rows and 120 columns

Full dataset access: https://thearticulated.gumroad.com/l/nfl-weather-quarterback-passing-research

The full dataset includes 13,939 rows across the 1999-09-12 through 2025-02-09 NFL coverage window, making it large enough for dashboard analysis, historical filtering, rolling-stat research, and exploratory modeling workflows.

Why this dataset exists

NFL weather research is a recurring buyer task, but the raw workflow is still awkward. Analysts can find a gameday weather page, a broad game schedule feed, and public quarterback stat tables, but they still have to normalize old franchise codes, isolate the intended quarterback rows, separate pregame context from postgame outcomes, and then engineer rolling form and opponent-defense context before asking even basic questions. That work is repetitive, easy to get wrong, and not what the buyer actually wants to spend time on.

This product solves that by starting with completed NFL schedule rows, keeping the listed starting quarterback identifier, joining the public quarterback stat line, and engineering the missing historical research layer. The output is one analysis-ready table where each row already contains weather context, market context, quarterback history, opponent allowance history, and the game result.

What each row represents

Each row represents one listed starting quarterback in one completed NFL game where a quarterback stat line could be matched from the public nflverse releases.

The row includes:

  • Pregame environment context such as roof, outdoor flag, wind, temperature, and weather buckets
  • Pregame market context such as spread, total, moneyline, implied team total, and favorite status
  • Pregame quarterback form such as rolling attempts, yards, touchdown rate, and completion rate
  • Pregame opponent context such as recent passing yards and fantasy points allowed to quarterbacks
  • Postgame quarterback outcomes such as attempts, yards, touchdowns, interceptions, sacks, rushing support, and passing-yard threshold clears

Practical buyer tasks this dataset supports

This dataset is designed for people who already know the workflow they want to run:

  • Filter quarterback history down to outdoor games with 15-plus mph wind and compare passing volume against milder conditions
  • Check whether strong implied totals or strong recent form offset poor weather more often than casual assumptions suggest
  • Build quarterback-prop dashboards that separate pregame features from postgame outcomes without hand-cleaning historical files
  • Compare quarterbacks or opponents by weather bucket, roof type, or opponent passing-defense allowance trend
  • Create reproducible notebooks for research, fantasy content, education, or exploratory modeling

Modeling notes

Pregame features are the fields that would have been available before kickoff, including rest context, venue context, wind, temperature, roof, surface, moneyline, spread, total, implied team total, rolling quarterback form, and opponent allowance history. Postgame outcomes include passing attempts, completions, yards, touchdowns, interceptions, sacks, fantasy outputs, and threshold-clear flags.

Time ordering is preserved when the rolling features are computed. Rolling quarterback form is built only from earlier games for the same quarterback. Opponent quarterback-defense allowance features are built only from earlier quarterback rows faced by that defense. The dataset is intended to make time-aware train or validation splits straightforward.

A reasonable train-test workflow would split by season, by week within season, or by full calendar date so later games never leak into earlier examples. Buyers should avoid random row shuffles if they want realistic historical modeling discipline.

Responsible use note

This dataset is for research, analysis, dashboard building, educational use, and exploratory modeling. It does not provide betting advice, picks, guarantees, or predictions of future outcomes.

Limitations

  • The row keeps the listed starting quarterback from the public schedule source, then keeps only rows where a quarterback stat line could be matched in the public weekly stats release
  • Weather fields come from the public schedule release and may not capture every last-minute stadium nuance
  • The dataset is descriptive historical infrastructure, not a claim that any weather split or quarterback trend is profitable
  • Historical franchise changes are normalized internally for joins, but the buyer-facing team codes follow the public schedule conventions for the row

Why the row volume matters

The row count matters because quarterback weather research quickly becomes sparse if the dataset is too small. Buyers need enough historical rows to isolate outdoor games, high-wind buckets, cold-weather games, implied-total ranges, opponent-defense contexts, and recent-form filters without ending up with tiny samples. A multi-season table is what makes the product usable for real dashboard work and not just a one-off anecdotal notebook.

What not to infer

Do not treat this dataset as betting advice, a guaranteed edge, or proof that a single weather threshold automatically decides quarterback outcomes. Weather is only one part of the problem. The intended value is that the table lets buyers test their own assumptions with cleaner, time-aware historical rows.

Dataset Preview

record_id game_id season game_type week game_date weekday gametime is_playoff_game team opponent team_side is_home qb_id qb_name qb_display_name qb_short_name rookie_season years_of_experience draft_round draft_pick rest_days opponent_rest_days rest_advantage_days roof surface stadium temp wind weather_data_available outdoor_game dome_game retractable_roof_flag cold_weather_flag high_wind_flag very_high_wind_flag wind_bucket temperature_bucket team_moneyline opponent_moneyline team_moneyline_implied_prob opponent_moneyline_implied_prob team_spread_line closing_total_line team_favorite_flag pickem_flag implied_team_total implied_opponent_total implied_team_total_bucket team_score opponent_score team_margin won_game total_points completions attempts passing_yards passing_tds interceptions sacks sack_yards passing_air_yards passing_yards_after_catch passing_first_downs passing_epa carries rushing_yards rushing_tds fantasy_points fantasy_points_ppr dropbacks completion_pct yards_per_attempt air_yards_per_attempt passing_tds_per_attempt interceptions_per_attempt sacks_per_dropback cleared_175_passing_yards cleared_200_passing_yards cleared_225_passing_yards cleared_250_passing_yards cleared_275_passing_yards cleared_1_5_passing_tds cleared_2_plus_passing_tds threw_interception prior_games_played season_to_date_games rolling_attempts_last_3 rolling_attempts_last_5 rolling_passing_yards_last_3 rolling_passing_yards_last_5 rolling_passing_tds_last_5 rolling_interceptions_last_5 rolling_sacks_last_5 rolling_passing_air_yards_last_5 rolling_rushing_yards_last_5 rolling_fantasy_points_last_5 rolling_completion_pct_last_5 rolling_yards_per_attempt_last_5 rolling_td_rate_last_5 rolling_interception_rate_last_5 season_to_date_passing_yards_avg season_to_date_attempts_avg season_to_date_completion_pct season_to_date_td_rate team_rolling_points_last_5 team_rolling_points_allowed_last_5 team_rolling_total_points_last_5 opponent_qb_games_faced_prior opponent_allowed_attempts_last_5 opponent_allowed_passing_yards_last_5 opponent_allowed_passing_tds_last_5 opponent_allowed_interceptions_last_5 opponent_allowed_sacks_last_5 opponent_allowed_fantasy_points_last_5 opponent_allowed_200_plus_rate_last_5 opponent_season_to_date_allowed_passing_yards_avg source_url source_domain last_collected_at
1999_01_ARI_PHI_00-0012726 1999_01_ARI_PHI 1999 REG 1 1999-09-12 00:00:00 Sunday False PHI ARI home True 00-0012726 Doug Pederson Doug Pederson Doug Pederson 1993 12 7 7 0 outdoors astroturf Veterans Stadium 75 3 True True False False False False False under_10 65_to_79_9 3 37 False False 17 20 under_18 24 25 -1 False 49 12 26 91 2 2 3 16 0 0 6 -14.891 1 19 0 7.54 7.54 29 0.461538 3.5 0 0.076923 0.076923 0.103448 False False False False False True True True 0 0 0 https://github.com/nflverse/nflverse-data/releases/download/player_stats/player_stats.parquet github.com, nflverse.com 2026-07-10 14:22:25.213838
1999_02_ARI_MIA_00-0010379 1999_02_ARI_MIA 1999 REG 2 1999-09-19 00:00:00 Sunday False MIA ARI home True 00-0010379 Dan Marino Dan Marino Dan Marino 1983 17 1.0 27.0 6 7 -1 outdoors grass Pro Player Stadium 82 13 True True False False False False False 10_to_14_9 80_plus -9 41 True False 25 16 24_to_26_9 19 16 3 True 35 21 35 221 1 2 0 0 0 0 10 -4.4857 1 -2 0 8.64 8.64 35 0.6 6.31429 0 0.028571 0.057143 0 True True False False False False False True 1 1 20.0 20.0 182.0 182.0 2.0 0.0 0.0 0.0 -1.0 15.18 0.65 9.1 0.1 0.0 182.0 20.0 0.65 0.1 38.0 21.0 59.0 1 26.0 91.0 2.0 2.0 3.0 7.54 0.0 91.0 https://github.com/nflverse/nflverse-data/releases/download/player_stats/player_stats.parquet github.com, nflverse.com 2026-07-10 14:22:25.213838
1999_03_SF_ARI_00-0018441 1999_03_SF_ARI 1999 REG 3 1999-09-27 00:00:00 Monday False SF ARI away False 00-0018441 Steve Young Steve Young Steve Young 1985 15 1.0 1.0 8 8 0 outdoors grass Sun Devil Stadium 97 4 True True False False False False False under_10 80_plus -2.5 45.5 True False 24 21.5 24_to_26_9 24 10 14 True 34 13 23 92 1 1 1 10 0 0 5 -6.11646 1 12 0 6.88 6.88 24 0.565217 4 0 0.043478 0.043478 0.041667 False False False False False False False True 2 2 30.0 30.0 177.0 177.0 1.0 1.5 3.5 0.0 19.0 8.98 0.533333 5.9 0.033333 0.05 177.0 30.0 0.533333 0.033333 15.5 31.0 46.5 2 30.5 156.0 1.5 2.0 1.5 8.09 0.5 156.0 https://github.com/nflverse/nflverse-data/releases/download/player_stats/player_stats.parquet github.com, nflverse.com 2026-07-10 14:22:25.213838
1999_04_ARI_DAL_00-0000104 1999_04_ARI_DAL 1999 REG 4 1999-10-03 00:00:00 Sunday False DAL ARI home True 00-0000104 Troy Aikman Troy Aikman Troy Aikman 1989 12 1.0 1.0 13 6 7 outdoors astroturf Texas Stadium 67 14 True True False False False False False 10_to_14_9 65_to_79_9 -7 42.5 True False 24.75 17.75 24_to_26_9 35 7 28 True 42 14 19 186 2 0 0 0 0 0 8 12.6395 2 1 0 15.54 15.54 19 0.736842 9.78947 0 0.105263 0 0 True False False False False True True False 2 2 34.5 34.5 228.0 228.0 2.5 2.5 1.5 0.0 3.0 14.42 0.521739 6.608696 0.072464 0.072464 228.0 34.5 0.521739 0.072464 32.5 21.0 53.5 3 28.0 134.666667 1.333333 1.666667 1.333333 7.686667 0.333333 134.666667 https://github.com/nflverse/nflverse-data/releases/download/player_stats/player_stats.parquet github.com, nflverse.com 2026-07-10 14:22:25.213838
1999_05_NYG_ARI_00-0003292 1999_05_NYG_ARI 1999 REG 5 1999-10-10 00:00:00 Sunday False NYG ARI away False 00-0003292 Kerry Collins Kerry Collins Kerry Collins 1995 17 1.0 5.0 7 7 0 outdoors grass Sun Devil Stadium 95 5 True True False False False False False under_10 80_plus 3 37.5 False False 17.25 20.25 under_18 3 14 -11 False 17 24 38 202 0 1 3 24 0 0 10 -5.14539 4 23 0 6.38 6.38 41 0.631579 5.31579 0 0 0.026316 0.073171 True True False False False False False True 0 0 17.0 23.5 40.5 4 25.75 147.5 1.5 1.25 1.0 9.65 0.25 147.5 https://github.com/nflverse/nflverse-data/releases/download/player_stats/player_stats.parquet github.com, nflverse.com 2026-07-10 14:22:25.213838

Access Requirements (Paid Dataset)

This dataset is behind manual gated access.

To obtain access:

  1. Full dataset access:
    https://thearticulated.gumroad.com/l/xrcfh

  2. Provide your Hugging Face username at checkout.

  3. Return to this Hugging Face page and click:
    "Request Access"

  4. Your access will be approved within 1-12 hours.

Once approved, you can use the Python snippet at the bottom of this README to load the dataset.

Dataset Structure

Total rows: 13,939

Total columns: 120

Splits

  • data: 13,939 rows

Data Files

  • data: data/data.parquet

Data Dictionary

The table below describes the columns included in this dataset.

column pandas_dtype dataset_type description
record_id str string Text column. Stable row identifier built from the game id and quarterback id.
game_id str string Text column. Original nflverse game identifier.
season Int64 integer Whole-number numeric column. NFL season year.
game_type str string Text column. Game type from the public schedule source such as REG, WC, DIV, CON, or SB.
week Int64 integer Whole-number numeric column. Week number within the season or playoff calendar.
game_date datetime64[us] datetime Date or timestamp column. Date of the game.
weekday str string Text column. Weekday label from the public schedule source.
gametime str datetime-like string Stored as text, but values appear to represent dates or timestamps. Scheduled kickoff time string from the public schedule source.
is_playoff_game bool boolean True/false column. Boolean flag showing whether the row came from a playoff game.
team str string Text column. Quarterback team abbreviation from the schedule source.
opponent str string Text column. Opponent team abbreviation from the schedule source.
team_side str string Text column. Home or away from the quarterback-team perspective.
is_home bool boolean True/false column. Boolean flag showing whether the quarterback team was at home.
qb_id str string Text column. Stable nflverse quarterback identifier.
qb_name str string Text column. Resolved quarterback name used for the row.
qb_display_name str string Text column. Display name from the public players table when available.
qb_short_name str string Text column. Short display name from the public players table when available.
rookie_season Int64 integer Whole-number numeric column. Quarterback rookie season from the players table when available.
years_of_experience Int64 integer Whole-number numeric column. Quarterback years of experience from the players table when available.
draft_round Int64 integer Whole-number numeric column. Draft round from the players table when available.
draft_pick Int64 integer Whole-number numeric column. Draft pick number from the players table when available.
rest_days Int64 integer Whole-number numeric column. Days of rest for the quarterback team entering the game.
opponent_rest_days Int64 integer Whole-number numeric column. Days of rest for the opponent entering the game.
rest_advantage_days Int64 integer Whole-number numeric column. Team rest days minus opponent rest days.
roof str string Text column. Roof type from the public schedule source.
surface str string Text column. Playing surface from the public schedule source.
stadium str string Text column. Venue name from the public schedule source.
temp float64 float Decimal numeric column. Temperature field from the public schedule source when available.
wind float64 float Decimal numeric column. Wind-speed field from the public schedule source when available.
weather_data_available bool boolean True/false column. Boolean flag showing whether the game had at least one weather field present.
outdoor_game bool boolean True/false column. Boolean flag for outdoor or open-roof games.
dome_game bool boolean True/false column. Boolean flag for domed or closed-roof games.
retractable_roof_flag bool boolean True/false column. Boolean flag showing whether the listed roof was retractable.
cold_weather_flag bool boolean True/false column. Boolean flag for games at 40 degrees Fahrenheit or colder.
high_wind_flag bool boolean True/false column. Boolean flag for games with listed wind of at least 15 mph.
very_high_wind_flag bool boolean True/false column. Boolean flag for games with listed wind of at least 20 mph.
wind_bucket str string Text column. Bucketed wind-speed label for filtering weather context.
temperature_bucket str string Text column. Bucketed temperature label for filtering weather context.
team_moneyline Int64 integer Whole-number numeric column. Closing moneyline for the quarterback team when available.
opponent_moneyline Int64 integer Whole-number numeric column. Closing moneyline for the opponent when available.
team_moneyline_implied_prob float64 float Decimal numeric column. Implied win probability derived from the quarterback-team moneyline.
opponent_moneyline_implied_prob float64 float Decimal numeric column. Implied win probability derived from the opponent moneyline.
team_spread_line float64 float Decimal numeric column. Closing spread from the quarterback-team perspective. Negative values indicate the team was favored.
closing_total_line float64 float Decimal numeric column. Closing game total line when available.
team_favorite_flag bool boolean True/false column. Boolean flag showing whether the quarterback team closed as the favorite.
pickem_flag bool boolean True/false column. Boolean flag for near-pickem spread situations.
implied_team_total float64 float Decimal numeric column. Approximate implied team total derived from the closing spread and total.
implied_opponent_total float64 float Decimal numeric column. Approximate implied opponent total derived from the closing spread and total.
implied_team_total_bucket str string Text column. Bucketed version of the implied team total.
team_score Int64 integer Whole-number numeric column. Final points scored by the quarterback team.
opponent_score Int64 integer Whole-number numeric column. Final points scored by the opponent team.
team_margin Int64 integer Whole-number numeric column. Final score margin from the quarterback-team perspective.
won_game bool boolean True/false column. Boolean flag showing whether the quarterback team won the game.
total_points Int64 integer Whole-number numeric column. Combined final points in the game.
completions Int64 integer Whole-number numeric column. Quarterback completions from the weekly stat source.
attempts Int64 integer Whole-number numeric column. Quarterback pass attempts from the weekly stat source.
passing_yards Int64 integer Whole-number numeric column. Quarterback passing yards from the weekly stat source.
passing_tds Int64 integer Whole-number numeric column. Quarterback passing touchdowns from the weekly stat source.
interceptions Int64 integer Whole-number numeric column. Quarterback interceptions thrown.
sacks Int64 integer Whole-number numeric column. Sacks taken by the quarterback.
sack_yards Int64 integer Whole-number numeric column. Yards lost to sacks.
passing_air_yards Int64 integer Whole-number numeric column. Passing air yards from the weekly stat source.
passing_yards_after_catch Int64 integer Whole-number numeric column. Passing yards after the catch from the weekly stat source.
passing_first_downs Int64 integer Whole-number numeric column. Passing first downs from the weekly stat source.
passing_epa float64 float Decimal numeric column. Passing EPA from the weekly stat source.
carries Int64 integer Whole-number numeric column. Quarterback rushing attempts.
rushing_yards Int64 integer Whole-number numeric column. Quarterback rushing yards.
rushing_tds Int64 integer Whole-number numeric column. Quarterback rushing touchdowns.
fantasy_points float64 float Decimal numeric column. Fantasy points from the weekly stat source.
fantasy_points_ppr float64 float Decimal numeric column. PPR fantasy points from the weekly stat source.
dropbacks Int64 integer Whole-number numeric column. Simple dropback proxy defined as pass attempts plus sacks.
completion_pct float64 float Decimal numeric column. Game completion percentage using completions divided by attempts.
yards_per_attempt float64 float Decimal numeric column. Game passing yards divided by pass attempts.
air_yards_per_attempt float64 float Decimal numeric column. Game passing air yards divided by pass attempts.
passing_tds_per_attempt float64 float Decimal numeric column. Game touchdown rate using passing touchdowns divided by attempts.
interceptions_per_attempt float64 float Decimal numeric column. Game interception rate using interceptions divided by attempts.
sacks_per_dropback float64 float Decimal numeric column. Game sack rate using sacks divided by dropbacks.
cleared_175_passing_yards bool boolean True/false column. Boolean flag for games with at least 175 passing yards.
cleared_200_passing_yards bool boolean True/false column. Boolean flag for games with at least 200 passing yards.
cleared_225_passing_yards bool boolean True/false column. Boolean flag for games with at least 225 passing yards.
cleared_250_passing_yards bool boolean True/false column. Boolean flag for games with at least 250 passing yards.
cleared_275_passing_yards bool boolean True/false column. Boolean flag for games with at least 275 passing yards.
cleared_1_5_passing_tds bool boolean True/false column. Boolean flag for games with at least 2 passing touchdowns, matching a common 1.5 passing-TD ladder.
cleared_2_plus_passing_tds bool boolean True/false column. Boolean flag for games with at least 2 passing touchdowns.
threw_interception bool boolean True/false column. Boolean flag showing whether the quarterback threw at least one interception.
prior_games_played Int64 integer Whole-number numeric column. Number of prior quarterback rows in the full history before this game.
season_to_date_games Int64 integer Whole-number numeric column. Number of prior same-season quarterback rows before this game.
rolling_attempts_last_3 float64 float Decimal numeric column. Pregame rolling average pass attempts over the previous 3 games.
rolling_attempts_last_5 float64 float Decimal numeric column. Pregame rolling average pass attempts over the previous 5 games.
rolling_passing_yards_last_3 float64 float Decimal numeric column. Pregame rolling average passing yards over the previous 3 games.
rolling_passing_yards_last_5 float64 float Decimal numeric column. Pregame rolling average passing yards over the previous 5 games.
rolling_passing_tds_last_5 float64 float Decimal numeric column. Pregame rolling average passing touchdowns over the previous 5 games.
rolling_interceptions_last_5 float64 float Decimal numeric column. Pregame rolling average interceptions over the previous 5 games.
rolling_sacks_last_5 float64 float Decimal numeric column. Pregame rolling average sacks taken over the previous 5 games.
rolling_passing_air_yards_last_5 float64 float Decimal numeric column. Pregame rolling average passing air yards over the previous 5 games.
rolling_rushing_yards_last_5 float64 float Decimal numeric column. Pregame rolling average rushing yards over the previous 5 games.
rolling_fantasy_points_last_5 float64 float Decimal numeric column. Pregame rolling average fantasy points over the previous 5 games.
rolling_completion_pct_last_5 float64 float Decimal numeric column. Pregame rolling completion percentage over the previous 5 games using summed completions and attempts.
rolling_yards_per_attempt_last_5 float64 float Decimal numeric column. Pregame rolling yards per attempt over the previous 5 games using summed passing yards and attempts.
rolling_td_rate_last_5 float64 float Decimal numeric column. Pregame rolling touchdown rate over the previous 5 games using summed passing touchdowns and attempts.
rolling_interception_rate_last_5 float64 float Decimal numeric column. Pregame rolling interception rate over the previous 5 games using summed interceptions and attempts.
season_to_date_passing_yards_avg float64 float Decimal numeric column. Pregame same-season average passing yards before this game.
season_to_date_attempts_avg float64 float Decimal numeric column. Pregame same-season average pass attempts before this game.
season_to_date_completion_pct float64 float Decimal numeric column. Pregame same-season completion percentage before this game.
season_to_date_td_rate float64 float Decimal numeric column. Pregame same-season passing-touchdown rate before this game.
team_rolling_points_last_5 float64 float Decimal numeric column. Pregame rolling average points scored by the quarterback team over the previous 5 games.
team_rolling_points_allowed_last_5 float64 float Decimal numeric column. Pregame rolling average points allowed by the quarterback team over the previous 5 games.
team_rolling_total_points_last_5 float64 float Decimal numeric column. Pregame rolling average combined game points for the quarterback team over the previous 5 games.
opponent_qb_games_faced_prior Int64 integer Whole-number numeric column. Number of prior quarterback rows faced by the opponent defense before this game.
opponent_allowed_attempts_last_5 float64 float Decimal numeric column. Pregame rolling average pass attempts allowed by the opponent over its previous 5 quarterback rows faced.
opponent_allowed_passing_yards_last_5 float64 float Decimal numeric column. Pregame rolling average passing yards allowed by the opponent over its previous 5 quarterback rows faced.
opponent_allowed_passing_tds_last_5 float64 float Decimal numeric column. Pregame rolling average passing touchdowns allowed by the opponent over its previous 5 quarterback rows faced.
opponent_allowed_interceptions_last_5 float64 float Decimal numeric column. Pregame rolling average interceptions forced by the opponent over its previous 5 quarterback rows faced.
opponent_allowed_sacks_last_5 float64 float Decimal numeric column. Pregame rolling average sacks recorded by the opponent over its previous 5 quarterback rows faced.
opponent_allowed_fantasy_points_last_5 float64 float Decimal numeric column. Pregame rolling average fantasy points allowed by the opponent to quarterbacks over its previous 5 rows faced.
opponent_allowed_200_plus_rate_last_5 float64 float Decimal numeric column. Pregame rolling share of prior quarterbacks who cleared 200 passing yards against the opponent over its previous 5 rows faced.
opponent_season_to_date_allowed_passing_yards_avg float64 float Decimal numeric column. Pregame same-season average passing yards allowed by the opponent before this game.
source_url str string Text column. Primary public source URL used for the build.
source_domain str string Text column. Source domain summary for the row.
last_collected_at datetime64[us] datetime Date or timestamp column. UTC timestamp when the row was collected and transformed.

Intended Use

This dataset is intended for research, experimentation, analysis, and model prototyping.

Loading the Dataset 


import os
from datasets import load_dataset

HUGGINGFACE_API_KEY_KARMANE = os.environ.get("HUGGINGFACE_API_KEY_KARMANE")

dataset = load_dataset(
    "Karmane/nfl-weather-quarterback-passing-research",
    token=HUGGINGFACE_API_KEY_KARMANE,
)

print(dataset)
print(dataset[list(dataset.keys())[0]][0])

# getting the DataFrame itself
# df = dataset[list(dataset.keys())[0]].to_pandas()

Karmane. (2025). NFL Weather and Quarterback Passing Dataset for Prop Research. Hugging Face. https://huggingface.co/datasets/Karmane/nfl-weather-quarterback-passing-research
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