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NHL Shots on Goal Prop Dataset for Historical Skater Volume Research

Question this dataset helps answer

Which NHL skaters historically clear 2+, 3+, 4+, or 5+ shots-on-goal props, and what pregame shot volume, ice-time usage, team context, and opposing-goalie context were present before puck drop?

Short answer

This dataset helps sports-betting researchers, fantasy hockey analysts, and dashboard builders compare, screen, and investigate NHL skater shot-volume context using pregame rolling shots, ice time, team shot environment, and opposing-goalie trend signals.

What the public preview proves

  • Which skaters, teams, seasons, and game types are present in the sample
  • Which fields are usable as pre-event shot-volume features versus post-event outcomes
  • Which rows already support 2+, 3+, 4+, and 5+ shots-on-goal threshold analysis

Public preview vs full dataset

  • Preview: 10000 rows and 103 columns
  • Full: 201274 rows and 103 columns

The full dataset includes 201274 rows across NHL skater-game observations, making it large enough for dashboard analysis, historical filtering, shots-on-goal prop research, and exploratory modeling workflows.

Full dataset access: https://thearticulated.gumroad.com/l/hotyxv

This product is built around a specific buyer problem rather than a generic hockey export. Plenty of public NHL box scores exist, but buyers who care about shots-on-goal prop research still have to do the expensive part themselves. They need to time-order skater game logs, calculate rolling shot volume, normalize ice time, keep team shot environment separate from postgame outcomes, identify the opposing starting goalie, summarize that goalie's recent form, and keep everything aligned to the exact shot thresholds they care about. Generic player logs do not answer that workflow cleanly. This dataset does.

Each row represents one NHL skater in one completed regular-season or playoff game from 2022-10-07 through 2026-06-14. The full file contains 201274 rows across 103 columns. That row volume matters. It is large enough for league-wide filtering, season-over-season comparison, team-level screening, skater dashboards, threshold studies, and time-aware exploratory modeling. Buyers can analyze skaters by team, by opponent, by game type, by recent shot volume, by ice-time usage, or by opposing-goalie context without shrinking the work to a toy sample.

The pre-event side of the table is the core commercial value. Every row includes rolling skater shot volume such as recent shots on goal, recent points, recent goals, recent shifts, recent time on ice, and shot share of team offense. It also includes team context that existed before puck drop: home-away status, recent team shots for, recent team shots against, recent goal environment, days since the skater's last game, days since the team's last game, and opponent shot-suppression signals. On top of that, the dataset adds opposing-starting-goalie features that are difficult to maintain by hand: prior starts, days since prior start, rolling saves, rolling shots faced, rolling goals allowed, rolling save percentage, and season-to-date save percentage based only on earlier starts.

The matchup-history layer is what makes the product different from a normal skater game log. A buyer can filter directly for skaters that already have opponent-specific shot history, compare recent 3+ or 4+ shots-on-goal rates across similar usage tiers, or screen for skaters facing goalies who have recently faced heavier shot volume or allowed more rebound opportunities. They can also compare whether the skater's team entered the game in a stronger shot-creation stretch while the opponent had been allowing more volume. The dataset is positioned as research infrastructure for those questions, not as a recommendation engine.

The post-event side of the table captures what actually happened in the completed game. That includes shots on goal, goals, assists, points, plus-minus, blocked shots, and threshold-hit flags such as 2+ shots on goal, 3+ shots on goal, 4+ shots on goal, 5+ shots on goal, 1+ point, and 1+ goal. This is deliberate. The table keeps a clear separation between pre-event features and post-event outcomes so buyers can use it for responsible historical analysis, train-test workflows, and dashboard building without guessing which fields leak future information.

Because the build uses the public NHL schedule and gamecenter boxscore endpoints, the source path is transparent and reproducible. Buyers are not depending on a mystery feed. The dataset keeps official identifiers for the game, skater, teams, and opposing goalie, which means analysts can join it to their own projection, fantasy, or notebook workflows if they want to extend the research. The core product value is that they do not have to hand-build the time-ordered skater, team, and goalie context first.

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. It should not be marketed as a way to guarantee winning bets, beat sportsbooks, or produce certain returns.

Modeling notes

  • Each row represents one NHL skater in one completed regular-season or playoff game.
  • Pre-event features include rolling skater shot volume, ice-time usage, opponent-specific shot history, team shot environment, and opposing starting goalie trend fields.
  • Post-event outcomes include the skater's actual box-score line plus threshold-hit flags for common shots-on-goal prop ladders.
  • The coverage window runs from 2022-10-07 through 2026-06-14.
  • The full dataset contains 201274 rows, which is large enough for train-test splits by date, by season, by team, by player role group, or by minimum opponent-history depth.
  • A sensible modeling workflow should split by date or season rather than shuffle randomly because the skater and goalie features are time ordered.
  • Opposing-goalie features are based on completed prior starts, so they are best interpreted as historical research context rather than guaranteed future goalie confirmation.
  • The threshold-hit flags are historical outcomes for analysis, not suggestions for future wagers.
  • The dataset is descriptive infrastructure for NHL shot-volume research, not a finished betting model.

Why the free sample matters

The public sample proves the commercial claim quickly. A buyer can inspect the schema and immediately verify that the file is not just a copied NHL player game log. They can see stable skater-game identifiers, rolling shot-volume fields, team shot-environment fields, opponent-history fields, opposing-goalie context fields, and actual postgame threshold outcomes. They can also check whether the seasons, teams, players, and game types they care about are present before paying for the full file. That is what the public sample is supposed to do: prove the buyer task, the row meaning, and the quality of the enrichment.

Source and build notes

The build uses the public NHL schedule feed plus public gamecenter boxscores, then computes rolling skater, team, opponent, and goalie features locally with time ordering preserved. This avoids a common DIY mistake where analysts accidentally mix future results into historical prop research. The output is a single, analysis-ready table rather than a stack of raw JSON files that still need player-game parsing, rolling-feature engineering, and goalie-context joins.


Dataset Preview

record_id game_id season season_label league sport game_type_code game_type_label game_date start_time_utc venue_name venue_location venue_timezone neutral_site game_outcome_type team_id team_abbreviation team_name opponent_team_id opponent_team_abbreviation opponent_team_name home_away is_home player_id player_name player_position player_role_group sweater_number goals assists points plus_minus penalty_minutes hits power_play_goals shots_on_goal faceoff_winning_pct time_on_ice_minutes blocked_shots shifts giveaways takeaways team_score opponent_score team_shots_on_goal opponent_shots_on_goal team_won shot_share_of_team sog_2plus sog_3plus sog_4plus sog_5plus points_1plus goals_1plus player_prior_games player_days_since_prev_game player_back_to_back_flag player_rolling_sog_last_5 player_rolling_sog_last_10 player_rolling_toi_minutes_last_5 player_rolling_shifts_last_5 player_rolling_points_last_5 player_rolling_goals_last_10 player_rolling_shot_share_last_10 player_rolling_sog_3plus_rate_last_10 player_rolling_sog_4plus_rate_last_10 player_season_to_date_sog_avg player_season_to_date_sog_3plus_rate prior_games_vs_opponent prior_sog_avg_vs_opponent prior_sog_3plus_rate_vs_opponent team_prior_games team_days_since_prev_game team_back_to_back_flag team_rolling_sog_for_last_5 team_rolling_sog_against_last_5 team_rolling_goals_for_last_5 team_rolling_goals_against_last_5 team_rolling_win_pct_last_5 team_season_to_date_sog_for_avg team_season_to_date_sog_against_avg opponent_team_prior_games opponent_team_days_since_prev_game opponent_team_back_to_back_flag opponent_team_rolling_sog_for_last_5 opponent_team_rolling_sog_against_last_5 opponent_team_rolling_goals_for_last_5 opponent_team_rolling_goals_against_last_5 opponent_team_rolling_win_pct_last_5 opponent_team_season_to_date_sog_for_avg opponent_team_season_to_date_sog_against_avg opponent_goalie_id opponent_goalie_name opponent_goalie_prior_starts opponent_goalie_days_since_prev_start opponent_goalie_rolling_saves_last_3 opponent_goalie_rolling_shots_against_last_3 opponent_goalie_rolling_goals_against_last_3 opponent_goalie_rolling_save_pct_last_5 opponent_goalie_season_to_date_save_pct source_url source_domain last_collected_at
2022020112_8470595 2022020112 20222023 2022-2023 NHL hockey 2 Regular Season 2022-10-27 00:00:00 2022-10-27 23:00:00 Wells Fargo Center US/Eastern False REG 13 FLA Florida Panthers 4 PHI Philadelphia Flyers away False 8470595 E. Staal C forward 12 0 0 0 0 0 0 0 0 0.692308 10.6167 0 16 0 2 3 4 51 22 False 0 False False False False False False 0 False 0 7 2 False 35.6 29.4 2.8 3.4 0.4 34.8571 29.5714 6 4 False 28.6 32.2 2.4 2.4 0.6 28 33 8479394 C. Hart 4 5 31.6667 33.3333 1.66667 0.948905 0.948905 https://api-web.nhle.com/v1/gamecenter/2022020112/boxscore api-web.nhle.com 2026-06-16 22:35:53
2022020128_8470595 2022020128 20222023 2022-2023 NHL hockey 2 Regular Season 2022-10-29 00:00:00 2022-10-29 20:00:00 FLA Live Arena US/Eastern False REG 13 FLA Florida Panthers 9 OTT Ottawa Senators home True 8470595 E. Staal C forward 12 0 0 0 -2 2 1 0 0 0.666667 9.4167 2 16 1 1 5 3 58 26 True 0 False False False False False False 1 2.0 False 0.0 0.0 10.6167 16.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0 8 2 False 37.6 27 2.8 3.2 0.4 36.875 28.625 7 2 False 33.6 30.2 4.8 3 0.8 33.1429 31.2857 8476341 A. Forsberg 6 2 26 28.3333 2.33333 0.900662 0.908108 https://api-web.nhle.com/v1/gamecenter/2022020128/boxscore api-web.nhle.com 2026-06-16 22:35:53
2022020156_8470595 2022020156 20222023 2022-2023 NHL hockey 2 Regular Season 2022-11-01 00:00:00 2022-11-02 02:00:00 Mullett Arena America/Phoenix False REG 13 FLA Florida Panthers 53 ARI Arizona Coyotes away False 8470595 E. Staal C forward 12 0 0 0 0 0 0 0 1 0.555556 9.9333 0 15 0 0 1 3 42 21 False 0.02381 False False False False False False 2 3.0 False 0.0 0.0 10.0167 16.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0 9 3 False 42 25.6 3 3.2 0.4 39.2222 28.3333 8 2 False 21.8 33.8 2.8 4.2 0.2 22.5 36.625 8478872 K. Vejmelka 5 4 28 31.6667 3.66667 0.884211 0.884211 https://api-web.nhle.com/v1/gamecenter/2022020156/boxscore api-web.nhle.com 2026-06-16 22:35:53
2022020173_8470595 2022020173 20222023 2022-2023 NHL hockey 2 Regular Season 2022-11-03 00:00:00 2022-11-04 02:30:00 SAP Center at San Jose US/Pacific False SO 13 FLA Florida Panthers 28 SJS San Jose Sharks away False 8470595 E. Staal C forward 12 0 0 0 0 0 0 0 1 0 10.8 2 13 2 0 4 3 44 39 True 0.022727 False False False False False False 3 2.0 False 0.333333 0.333333 9.9889 15.666667 0.0 0.0 0.006623 0.0 0.0 0.333333 0.0 0 10 2 False 42.8 23.4 2.8 3.2 0.4 39.5 27.6 12 2 False 31.6 31.2 3.4 3.4 0.4 28.6667 30.9167 8473503 J. Reimer 7 5 26.3333 29 2.66667 0.909677 0.914027 https://api-web.nhle.com/v1/gamecenter/2022020173/boxscore api-web.nhle.com 2026-06-16 22:35:53
2022020189_8470595 2022020189 20222023 2022-2023 NHL hockey 2 Regular Season 2022-11-05 00:00:00 2022-11-06 02:30:00 Crypto.com Arena America/Los_Angeles False REG 13 FLA Florida Panthers 26 LAK Los Angeles Kings away False 8470595 E. Staal C forward 12 0 0 0 -1 0 0 0 0 0.375 8.1667 1 13 0 0 4 5 38 39 False 0 False False False False False False 4 2.0 False 0.5 0.5 10.191675 15.0 0.0 0.0 0.010256 0.0 0.0 0.5 0.0 0 11 2 False 45.2 26 3 3.4 0.4 39.9091 28.6364 13 2 False 33.6 26.8 3.2 3.2 0.4 33 30.6154 8471734 J. Quick 8 2 19 21.6667 2.66667 0.885246 0.889868 https://api-web.nhle.com/v1/gamecenter/2022020189/boxscore api-web.nhle.com 2026-06-16 22:35:53

Access Requirements (Paid Dataset)

This dataset is behind manual gated access.

To obtain access:

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

  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: 201,274

Total columns: 103

Splits

  • data: 201,274 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 NHL game identifier and skater identifier.
game_id str integer-like string Stored as text, but values appear to represent whole numbers. Official NHL game identifier for the completed game.
season Int64 integer Whole-number numeric column. NHL season code in YYYYYYYY form, such as 20252026.
season_label str string Text column. Readable NHL season label such as 2025-2026.
league str string Text column. League label for the row.
sport str string Text column. Sport label for the row.
game_type_code Int64 integer Whole-number numeric column. NHL game type code where 2 is regular season and 3 is playoffs.
game_type_label str string Text column. Readable label for the NHL game type.
game_date datetime64[us] datetime Date or timestamp column. Official game date in local calendar terms.
start_time_utc datetime64[us] datetime Date or timestamp column. Scheduled puck-drop timestamp in UTC.
venue_name str string Text column. Venue name for the game.
venue_location str string Text column. Venue location label returned by the NHL feed.
venue_timezone str string Text column. Venue timezone identifier returned by the NHL feed.
neutral_site bool boolean True/false column. Boolean flag indicating that the game was marked as a neutral-site game.
game_outcome_type str string Text column. Final outcome label such as REG, OT, or SO.
team_id Int64 integer Whole-number numeric column. Official NHL team identifier for the skater's team.
team_abbreviation str string Text column. Team abbreviation for the skater's team.
team_name str string Text column. Full team name for the skater's team.
opponent_team_id Int64 integer Whole-number numeric column. Official NHL team identifier for the opposing team.
opponent_team_abbreviation str string Text column. Team abbreviation for the opposing team.
opponent_team_name str string Text column. Full team name for the opposing team.
home_away str string Text column. Home or away context for the skater's team.
is_home bool boolean True/false column. Boolean flag indicating that the skater's team was at home.
player_id Int64 integer Whole-number numeric column. Official NHL player identifier for the skater.
player_name str string Text column. Full player name for the skater.
player_position str string Text column. Primary listed position for the skater in that game.
player_role_group str string Text column. Broad position group indicating forward or defense.
sweater_number Int64 integer Whole-number numeric column. Sweater number listed for the skater in that game.
goals Int64 integer Whole-number numeric column. Goals recorded by the skater in the completed game.
assists Int64 integer Whole-number numeric column. Assists recorded by the skater in the completed game.
points Int64 integer Whole-number numeric column. Points recorded by the skater in the completed game.
plus_minus Int64 integer Whole-number numeric column. Plus-minus recorded by the skater in the completed game.
penalty_minutes Int64 integer Whole-number numeric column. Penalty minutes recorded by the skater in the completed game.
hits Int64 integer Whole-number numeric column. Hits recorded by the skater in the completed game.
power_play_goals Int64 integer Whole-number numeric column. Power-play goals recorded by the skater in the completed game.
shots_on_goal Int64 integer Whole-number numeric column. Shots on goal recorded by the skater in the completed game.
faceoff_winning_pct float64 float Decimal numeric column. Faceoff win percentage recorded by the skater when applicable.
time_on_ice_minutes float64 float Decimal numeric column. Time on ice for the skater in minutes.
blocked_shots Int64 integer Whole-number numeric column. Blocked shots recorded by the skater in the completed game.
shifts Int64 integer Whole-number numeric column. Shift count recorded for the skater in the completed game.
giveaways Int64 integer Whole-number numeric column. Giveaways recorded by the skater in the completed game.
takeaways Int64 integer Whole-number numeric column. Takeaways recorded by the skater in the completed game.
team_score Int64 integer Whole-number numeric column. Goals scored by the skater's team in the completed game.
opponent_score Int64 integer Whole-number numeric column. Goals scored by the opposing team in the completed game.
team_shots_on_goal Int64 integer Whole-number numeric column. Shots on goal recorded by the skater's team in the completed game.
opponent_shots_on_goal Int64 integer Whole-number numeric column. Shots on goal recorded by the opposing team in the completed game.
team_won bool boolean True/false column. Boolean flag indicating that the skater's team won the game.
shot_share_of_team float64 float Decimal numeric column. Share of the team's shots on goal taken by the skater in the completed game.
sog_2plus bool boolean True/false column. Boolean outcome flag for the common 2+ shots on goal threshold.
sog_3plus bool boolean True/false column. Boolean outcome flag for the common 3+ shots on goal threshold.
sog_4plus bool boolean True/false column. Boolean outcome flag for the common 4+ shots on goal threshold.
sog_5plus bool boolean True/false column. Boolean outcome flag for the common 5+ shots on goal threshold.
points_1plus bool boolean True/false column. Boolean outcome flag for whether the skater recorded at least one point.
goals_1plus bool boolean True/false column. Boolean outcome flag for whether the skater scored at least one goal.
player_prior_games Int64 integer Whole-number numeric column. Number of prior completed games for the skater before this game.
player_days_since_prev_game Int64 integer Whole-number numeric column. Days since the skater's previous completed game.
player_back_to_back_flag bool boolean True/false column. Boolean flag indicating the skater was on one day or less of rest.
player_rolling_sog_last_5 float64 float Decimal numeric column. Pregame average shots on goal across the skater's previous five games.
player_rolling_sog_last_10 float64 float Decimal numeric column. Pregame average shots on goal across the skater's previous ten games.
player_rolling_toi_minutes_last_5 float64 float Decimal numeric column. Pregame average time on ice across the skater's previous five games.
player_rolling_shifts_last_5 float64 float Decimal numeric column. Pregame average shifts across the skater's previous five games.
player_rolling_points_last_5 float64 float Decimal numeric column. Pregame average points across the skater's previous five games.
player_rolling_goals_last_10 float64 float Decimal numeric column. Pregame average goals across the skater's previous ten games.
player_rolling_shot_share_last_10 float64 float Decimal numeric column. Pregame share of team shots on goal taken by the skater across the previous ten games.
player_rolling_sog_3plus_rate_last_10 float64 float Decimal numeric column. Pregame share of the skater's previous ten games with at least three shots on goal.
player_rolling_sog_4plus_rate_last_10 float64 float Decimal numeric column. Pregame share of the skater's previous ten games with at least four shots on goal.
player_season_to_date_sog_avg float64 float Decimal numeric column. Pregame season-to-date average shots on goal for the skater.
player_season_to_date_sog_3plus_rate float64 float Decimal numeric column. Pregame season-to-date share of games with at least three shots on goal.
prior_games_vs_opponent Int64 integer Whole-number numeric column. Number of prior completed games for the skater against the same opponent before this game.
prior_sog_avg_vs_opponent float64 float Decimal numeric column. Pregame average shots on goal across the skater's prior games against the same opponent.
prior_sog_3plus_rate_vs_opponent float64 float Decimal numeric column. Pregame share of prior games against the same opponent with at least three shots on goal.
team_prior_games Int64 integer Whole-number numeric column. Number of prior completed games for the skater's team before this game.
team_days_since_prev_game Int64 integer Whole-number numeric column. Days since the skater's team played its previous completed game.
team_back_to_back_flag bool boolean True/false column. Boolean flag indicating the skater's team was on one day or less of rest.
team_rolling_sog_for_last_5 float64 float Decimal numeric column. Pregame average shots on goal produced by the skater's team across its previous five games.
team_rolling_sog_against_last_5 float64 float Decimal numeric column. Pregame average shots on goal allowed by the skater's team across its previous five games.
team_rolling_goals_for_last_5 float64 float Decimal numeric column. Pregame average goals scored by the skater's team across its previous five games.
team_rolling_goals_against_last_5 float64 float Decimal numeric column. Pregame average goals allowed by the skater's team across its previous five games.
team_rolling_win_pct_last_5 float64 float Decimal numeric column. Pregame win percentage for the skater's team across its previous five games.
team_season_to_date_sog_for_avg float64 float Decimal numeric column. Pregame season-to-date average shots on goal produced by the skater's team.
team_season_to_date_sog_against_avg float64 float Decimal numeric column. Pregame season-to-date average shots on goal allowed by the skater's team.
opponent_team_prior_games Int64 integer Whole-number numeric column. Number of prior completed games for the opposing team before this matchup.
opponent_team_days_since_prev_game Int64 integer Whole-number numeric column. Days since the opposing team played its previous completed game.
opponent_team_back_to_back_flag bool boolean True/false column. Boolean flag indicating the opposing team was on one day or less of rest.
opponent_team_rolling_sog_for_last_5 float64 float Decimal numeric column. Pregame average shots on goal produced by the opposing team across its previous five games.
opponent_team_rolling_sog_against_last_5 float64 float Decimal numeric column. Pregame average shots on goal allowed by the opposing team across its previous five games.
opponent_team_rolling_goals_for_last_5 float64 float Decimal numeric column. Pregame average goals scored by the opposing team across its previous five games.
opponent_team_rolling_goals_against_last_5 float64 float Decimal numeric column. Pregame average goals allowed by the opposing team across its previous five games.
opponent_team_rolling_win_pct_last_5 float64 float Decimal numeric column. Pregame win percentage for the opposing team across its previous five games.
opponent_team_season_to_date_sog_for_avg float64 float Decimal numeric column. Pregame season-to-date average shots on goal produced by the opposing team.
opponent_team_season_to_date_sog_against_avg float64 float Decimal numeric column. Pregame season-to-date average shots on goal allowed by the opposing team.
opponent_goalie_id Int64 integer Whole-number numeric column. Official NHL player identifier for the opposing starting goalie.
opponent_goalie_name str string Text column. Name of the opposing starting goalie.
opponent_goalie_prior_starts Int64 integer Whole-number numeric column. Number of prior completed starts for the opposing starting goalie before this game.
opponent_goalie_days_since_prev_start Int64 integer Whole-number numeric column. Days since the opposing starting goalie's previous completed start.
opponent_goalie_rolling_saves_last_3 float64 float Decimal numeric column. Pregame average saves across the opposing goalie's previous three starts.
opponent_goalie_rolling_shots_against_last_3 float64 float Decimal numeric column. Pregame average shots faced across the opposing goalie's previous three starts.
opponent_goalie_rolling_goals_against_last_3 float64 float Decimal numeric column. Pregame average goals allowed across the opposing goalie's previous three starts.
opponent_goalie_rolling_save_pct_last_5 float64 float Decimal numeric column. Pregame save percentage across the opposing goalie's previous five starts.
opponent_goalie_season_to_date_save_pct float64 float Decimal numeric column. Pregame season-to-date save percentage for the opposing starting goalie.
source_url str string Text column. Official NHL boxscore endpoint URL used to build the row.
source_domain str string Text column. Source domain used to build the row.
last_collected_at datetime64[us] datetime Date or timestamp column. UTC timestamp when the current dataset build finished.

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/nhl-shots-on-goal-prop-trends",
    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). NHL Shots on Goal Prop Dataset for Historical Skater Volume Research. Hugging Face. https://huggingface.co/datasets/Karmane/nhl-shots-on-goal-prop-trends

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