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Datasets:
Karmane
/
mlb-starting-pitcher-strikeout-prop-trends

Tasks:
Tabular Regression
Modalities:
Tabular
Languages:
English
Size:
10K<n<100K
Tags:
mlb
baseball
pitcher-props
strikeout-props
sports
sports-analytics
License:
Dataset card Files
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MLB Starting Pitcher Strikeout Prop Dataset for Historical K Research

MLB Starting Pitcher Strikeout Prop Dataset for Historical K Research

Question this dataset helps answer: Which MLB starting pitchers historically clear common strikeout-prop thresholds, and what pregame workload, rest, pitch-count, and opponent strikeout context existed before first pitch?

This dataset helps sports-betting researchers, fantasy baseball analysts, and dashboard builders compare, screen, and investigate MLB starting-pitcher strikeout history using rolling workload, pitch-count, rest, and opponent-team strikeout signals.

Use the public sample to check:

  • Which starters, teams, venues, and seasons are present in the sample
  • Which fields are usable as pre-event workload or opponent-K features versus post-event outcomes
  • Which rows already support 5+, 6+, 7+, and 8+ strikeout-threshold analysis

Preview vs full dataset:

  • Preview: 840 rows and 110 columns
  • Full: 16808 rows and 110 columns

Full dataset access: https://thearticulated.gumroad.com/l/mlb-starting-pitcher-strikeout-prop-trends

This product is built around a specific buyer problem rather than a generic baseball export. Plenty of public MLB game logs exist, but buyers who care about strikeout props still have to do the expensive part themselves. They need to isolate actual starters, normalize innings and pitch counts, keep rest timing time ordered, separate pregame information from postgame outcomes, summarize recent strikeout form, and align that with the opponent team's strikeout environment. Generic pitcher logs do not answer that workflow cleanly. This dataset does.

Each row represents one actual starting pitcher in one completed MLB regular-season game from 2023-03-30 through 2026-06-18. The full file contains 16808 rows across 110 columns. That row volume matters. It is large enough for league-wide filtering, season-over-season comparison, starter dashboards, strikeout-threshold studies, workload analysis, and time-aware exploratory modeling. Buyers can analyze starters by team, by venue, by rest pattern, by recent pitch counts, by prior starts against the same opponent, or by opponent strikeout environment without shrinking the work to a toy sample.

The pre-event side of the table is the core commercial value. Every row includes rolling starter workload such as recent innings, recent strikeouts, recent pitch counts, recent batters faced, recent walk rate, and recent quality-start rate. It also includes team context that existed before first pitch: home-away status, recent team offense, recent team strikeout tendencies, opponent-team strikeout rates, and days since the team last played. On top of that, the dataset keeps probable-starter information and matchup-specific history, which are difficult to maintain by hand when building pitcher-prop dashboards.

The opponent-context layer is what makes the product different from a normal starter game log. A buyer can filter directly for starters facing teams that have recently struck out more often, compare recent 6+ or 7+ strikeout rates across similar workload tiers, or screen for pitchers entering a start with rising pitch counts and stronger recent strikeout form. They can also compare whether the opposing lineup profile looked more contact-heavy or more strikeout-prone before the game started. 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 strikeouts, innings pitched, walks, hits allowed, earned runs, batters faced, pitches thrown, and threshold-hit flags such as 5+, 6+, 7+, 8+, and 9+ strikeouts. 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 official MLB schedule and 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, starter, teams, and venues, which means analysts can join it to their own weather, projection, or DFS workflows if they want to extend the research. The core product value is that they do not have to hand-build the time-ordered starter and opponent-strikeout 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 actual starting pitcher in one completed MLB regular-season game.
  • Pre-event features include rolling strikeout form, pitch-count workload, rest timing, quality-start history, team offense context, and opponent-team strikeout environment.
  • Post-event outcomes include the starter's actual box-score line plus threshold-hit flags for common strikeout-prop ladders.
  • The coverage window runs from 2023-03-30 through 2026-06-18.
  • The full dataset contains 16808 rows, which is large enough for train-test splits by date, by season, by team, by starter, or by minimum prior-start depth.
  • A sensible modeling workflow should split by date or season rather than shuffle randomly because the starter and opponent features are time ordered.
  • Probable-starter fields and opponent-team strikeout rates should be interpreted as historical research context rather than guaranteed future lineup or starter confirmation.
  • The threshold-hit flags are historical outcomes for analysis, not suggestions for future wagers.
  • The dataset is descriptive infrastructure for pitcher-prop 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 MLB pitcher game log. They can see stable starter-game identifiers, rolling strikeout fields, rolling pitch-count fields, rest-day fields, opponent-team strikeout context, probable-starter fields, and actual postgame threshold outcomes. They can also check whether the seasons, teams, venues, and stat 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 official MLB Stats API schedule feed plus official game box scores, then computes rolling starter, team, and opponent features locally with time ordering preserved. This avoids a common DIY mistake where analysts accidentally mix future results into historical strikeout-prop research. The output is a single, analysis-ready table rather than a stack of raw JSON files that still need starter parsing, pitch-count normalization, and opponent-context joins.

Dataset Preview

record_id game_pk season official_date game_datetime_utc day_night doubleheader_flag games_in_series series_game_number series_description scheduled_innings venue_id venue_name venue_city venue_state venue_timezone team_id team_abbreviation team_name opponent_team_id opponent_team_abbreviation opponent_team_name home_away is_home starter_id starter_name probable_starter_id probable_starter_name starter_was_probable outs_recorded innings_pitched hits_allowed runs_allowed earned_runs_allowed walks_allowed strikeouts_recorded home_runs_allowed batters_faced pitches_thrown strikes_thrown balls_thrown era_display whip_display team_score opponent_score team_hits opponent_hits team_errors opponent_errors team_won strikeout_prop_over_4_5 strikeout_prop_over_5_5 strikeout_prop_over_6_5 strikeout_prop_over_7_5 strikeout_prop_over_8_5 quality_start_flag strikeout_rate_game walk_rate_game strikeouts_per_inning_game starter_prior_starts starter_days_since_prev_start starter_rolling_innings_last_3 starter_rolling_strikeouts_last_3 starter_rolling_strikeouts_last_5 starter_rolling_walks_last_5 starter_rolling_hits_allowed_last_5 starter_rolling_earned_runs_last_5 starter_rolling_home_runs_allowed_last_5 starter_rolling_batters_faced_last_3 starter_rolling_pitches_last_3 starter_rolling_k_rate_last_5 starter_rolling_bb_rate_last_5 starter_rolling_qs_rate_last_10 starter_season_to_date_innings_avg starter_season_to_date_k_avg starter_season_to_date_pitches_avg starter_season_to_date_k_rate starter_season_to_date_qs_rate starter_prior_starts_vs_opponent starter_prior_k_avg_vs_opponent starter_prior_k_rate_vs_opponent team_prior_games team_days_since_prev_game team_rolling_runs_scored_last_5 team_rolling_hits_last_5 team_rolling_walks_drawn_last_5 team_rolling_strikeouts_drawn_last_5 team_rolling_plate_appearances_last_5 team_rolling_total_bases_last_5 team_rolling_win_pct_last_5 team_season_to_date_runs_scored_avg team_season_to_date_strikeouts_drawn_avg team_season_to_date_walks_drawn_avg team_season_to_date_k_rate opponent_team_prior_games opponent_team_days_since_prev_game opponent_team_rolling_runs_scored_last_5 opponent_team_rolling_hits_last_5 opponent_team_rolling_walks_drawn_last_5 opponent_team_rolling_strikeouts_drawn_last_5 opponent_team_rolling_plate_appearances_last_5 opponent_team_rolling_total_bases_last_5 opponent_team_rolling_win_pct_last_5 opponent_team_season_to_date_runs_scored_avg opponent_team_season_to_date_strikeouts_drawn_avg opponent_team_season_to_date_walks_drawn_avg opponent_team_season_to_date_k_rate source_url source_domain last_collected_at
718288_425794 718288 2023 2023-05-06 00:00:00 2023-05-06 18:15:00 day False 3 2 Regular Season 9 2889 Busch Stadium St. Louis MO America/Chicago 138 STL St. Louis Cardinals 116 DET Detroit Tigers home True 425794 Adam Wainwright 425794 Adam Wainwright True 15 5 8 4 4 0 5 0 23 90 62 28 5 6 9 13 1 0 False True False False False False False 0.217391 0 1 0 0 33 1 3.8 8.6 1.8 9.6 37.2 13.2 0 4.21212 8.39394 3.36364 0.219493 31 1 4.8 8 2 8 35.8 14.8 0.8 3.51613 9.64516 2.96774 0.257094 https://statsapi.mlb.com/api/v1/game/718288/boxscore statsapi.mlb.com 2026-06-19 20:42:05
718211_425794 718211 2023 2023-05-12 00:00:00 2023-05-12 23:10:00 night False 3 1 Regular Season 9 3 Fenway Park Boston MA America/New_York 138 STL St. Louis Cardinals 111 BOS Boston Red Sox away False 425794 Adam Wainwright 425794 Adam Wainwright True 15 5 7 4 4 2 2 2 22 86 54 32 8 6 14 9 0 1 True False False False False False False 0.090909 0.090909 0.4 1 6.0 5.0 5.0 5.0 0.0 8.0 4.0 0.0 23.0 90.0 0.217391 0.0 0.0 5.0 5.0 90.0 0.217391 0.0 0 38 2 6 8.8 3.4 6.4 39.6 16.2 0.6 4.44737 8.13158 3.36842 0.211644 38 2 4.2 7.6 3 9.8 37.4 11.4 0.6 5.68421 7.89474 3.34211 0.20436 https://statsapi.mlb.com/api/v1/game/718211/boxscore statsapi.mlb.com 2026-06-19 20:42:05
718124_425794 718124 2023 2023-05-18 00:00:00 2023-05-18 23:45:00 night False 4 1 Regular Season 9 2889 Busch Stadium St. Louis MO America/Chicago 138 STL St. Louis Cardinals 119 LAD Los Angeles Dodgers home True 425794 Adam Wainwright 425794 Adam Wainwright True 17 5.6667 5 5 2 3 1 0 27 96 53 43 16 8 12 9 2 1 True False False False False False False 0.037037 0.111111 0.17647 2 6.0 5.0 3.5 3.5 1.0 7.5 4.0 1.0 22.5 88.0 0.155556 0.044444 0.0 5.0 3.5 88.0 0.155556 0.0 0 44 1 7.2 9.8 4.8 8.4 40.6 17.8 0.8 4.84091 8.20454 3.5 0.211979 44 1 5 8 4.2 7.8 38 14.2 0.8 5.38636 9.04546 4.45455 0.236905 https://statsapi.mlb.com/api/v1/game/718124/boxscore statsapi.mlb.com 2026-06-19 20:42:05
718059_425794 718059 2023 2023-05-23 00:00:00 2023-05-23 22:40:00 night False 4 2 Regular Season 9 2602 Great American Ball Park Cincinnati OH America/New_York 138 STL St. Louis Cardinals 113 CIN Cincinnati Reds away False 425794 Adam Wainwright 425794 Adam Wainwright True 17 5.6667 8 5 5 1 2 1 26 77 52 25 8 5 12 9 0 0 True False False False False False False 0.076923 0.038462 0.352939 3 5.0 5.222233 2.666667 2.666667 1.666667 6.666667 3.333333 0.666667 24.0 90.666667 0.111111 0.069444 0.0 5.222233 2.666667 90.666667 0.111111 0.0 0 49 1 7.4 8.2 5 8.8 38.8 16 0.6 5.10204 8.26531 3.65306 0.213495 47 1 3.8 7.4 5.2 10 38.6 11.2 0.2 4.2766 9.29787 3.51064 0.248014 https://statsapi.mlb.com/api/v1/game/718059/boxscore statsapi.mlb.com 2026-06-19 20:42:05
717975_425794 717975 2023 2023-05-29 00:00:00 2023-05-29 18:15:00 day False 2 1 Regular Season 9 2889 Busch Stadium St. Louis MO America/Chicago 138 STL St. Louis Cardinals 118 KC Kansas City Royals home True 425794 Adam Wainwright 425794 Adam Wainwright True 15 5 9 3 3 2 6 0 26 105 67 38 0 7 2 16 0 0 False True True False False False False 0.230769 0.076923 1.2 4 6.0 5.444467 1.666667 2.5 1.5 7.0 3.75 0.75 25.0 86.333333 0.102041 0.061224 0.0 5.33335 2.5 87.25 0.102041 0.0 0 0.076923 55 1 2.6 6.4 4 7.4 37.6 11.6 0.4 4.92727 8.18182 3.65455 0.211864 54 1 4.6 9.2 3.2 10.6 39 14 0.4 3.94444 9.03704 2.74074 0.244367 https://statsapi.mlb.com/api/v1/game/717975/boxscore statsapi.mlb.com 2026-06-19 20:42:05

Access Requirements (Paid Dataset)

This dataset is behind manual gated access.

To obtain access:

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

  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: 16,808

Total columns: 110

Splits

  • data: 16,808 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 MLB game identifier and actual starting pitcher identifier.
game_pk str integer-like string Stored as text, but values appear to represent whole numbers. Official MLB game identifier for the completed regular-season game.
season Int64 integer Whole-number numeric column. MLB season year for the game.
official_date datetime64[us] datetime Date or timestamp column. Official game date in local calendar terms.
game_datetime_utc datetime64[us] datetime Date or timestamp column. Scheduled first-pitch timestamp in UTC.
day_night str string Text column. MLB day or night game label.
doubleheader_flag bool boolean True/false column. Boolean flag indicating that the game was part of a doubleheader.
games_in_series Int64 integer Whole-number numeric column. Number of games scheduled in the series when provided by MLB.
series_game_number Int64 integer Whole-number numeric column. Game number inside the series when provided by MLB.
series_description str string Text column. MLB series label such as Regular Season or Interleague.
scheduled_innings Int64 integer Whole-number numeric column. Scheduled inning count for the game.
venue_id Int64 integer Whole-number numeric column. Official MLB venue identifier.
venue_name str string Text column. Venue name for the game.
venue_city str string Text column. Venue city.
venue_state str string Text column. Venue state or province abbreviation when provided by MLB.
venue_timezone str string Text column. Venue timezone identifier from the official schedule feed.
team_id Int64 integer Whole-number numeric column. Official MLB identifier for the starting pitcher's team.
team_abbreviation str string Text column. Team abbreviation for the starting pitcher's team.
team_name str string Text column. Full team name for the starting pitcher's team.
opponent_team_id Int64 integer Whole-number numeric column. Official MLB 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 starting pitcher's team.
is_home bool boolean True/false column. Boolean flag indicating that the starting pitcher's team was at home.
starter_id Int64 integer Whole-number numeric column. Official MLB player identifier for the actual starting pitcher.
starter_name str string Text column. Full player name for the actual starting pitcher.
probable_starter_id Int64 integer Whole-number numeric column. Official MLB player identifier for the probable starter from the schedule feed.
probable_starter_name str string Text column. Name of the probable starter from the schedule feed.
starter_was_probable bool boolean True/false column. Boolean flag indicating whether the actual starter matched the listed probable starter.
outs_recorded Int64 integer Whole-number numeric column. Outs recorded by the starting pitcher in the completed game.
innings_pitched float64 float Decimal numeric column. Innings pitched by the starting pitcher, normalized so one out equals one-third of an inning.
hits_allowed Int64 integer Whole-number numeric column. Hits allowed by the starting pitcher in the completed game.
runs_allowed Int64 integer Whole-number numeric column. Runs allowed by the starting pitcher in the completed game.
earned_runs_allowed Int64 integer Whole-number numeric column. Earned runs allowed by the starting pitcher in the completed game.
walks_allowed Int64 integer Whole-number numeric column. Walks allowed by the starting pitcher in the completed game.
strikeouts_recorded Int64 integer Whole-number numeric column. Strikeouts recorded by the starting pitcher in the completed game.
home_runs_allowed Int64 integer Whole-number numeric column. Home runs allowed by the starting pitcher in the completed game.
batters_faced Int64 integer Whole-number numeric column. Batters faced by the starting pitcher in the completed game.
pitches_thrown Int64 integer Whole-number numeric column. Pitches thrown by the starting pitcher in the completed game.
strikes_thrown Int64 integer Whole-number numeric column. Strikes thrown by the starting pitcher in the completed game.
balls_thrown Int64 integer Whole-number numeric column. Balls thrown by the starting pitcher in the completed game.
era_display float64 empty Column contains no non-null values. MLB-reported ERA shown in the box score after the game.
whip_display float64 empty Column contains no non-null values. MLB-reported WHIP shown in the box score after the game.
team_score Int64 integer Whole-number numeric column. Runs scored by the starting pitcher's team in the completed game.
opponent_score Int64 integer Whole-number numeric column. Runs scored by the opposing team in the completed game.
team_hits Int64 integer Whole-number numeric column. Hits recorded by the starting pitcher's team in the completed game.
opponent_hits Int64 integer Whole-number numeric column. Hits recorded by the opposing team in the completed game.
team_errors Int64 integer Whole-number numeric column. Errors recorded by the starting pitcher's team in the completed game.
opponent_errors Int64 integer Whole-number numeric column. Errors recorded by the opposing team in the completed game.
team_won bool boolean True/false column. Boolean flag indicating that the starting pitcher's team won the game.
strikeout_prop_over_4_5 bool boolean True/false column. Boolean outcome flag for whether the starter recorded at least five strikeouts.
strikeout_prop_over_5_5 bool boolean True/false column. Boolean outcome flag for whether the starter recorded at least six strikeouts.
strikeout_prop_over_6_5 bool boolean True/false column. Boolean outcome flag for whether the starter recorded at least seven strikeouts.
strikeout_prop_over_7_5 bool boolean True/false column. Boolean outcome flag for whether the starter recorded at least eight strikeouts.
strikeout_prop_over_8_5 bool boolean True/false column. Boolean outcome flag for whether the starter recorded at least nine strikeouts.
quality_start_flag bool boolean True/false column. Boolean flag for the common quality-start definition of six or more innings with three or fewer earned runs.
strikeout_rate_game float64 float Decimal numeric column. Strikeouts divided by batters faced in the completed game.
walk_rate_game float64 float Decimal numeric column. Walks divided by batters faced in the completed game.
strikeouts_per_inning_game float64 float Decimal numeric column. Strikeouts divided by innings pitched in the completed game.
starter_prior_starts Int64 integer Whole-number numeric column. Number of prior completed starts for the same pitcher before this game.
starter_days_since_prev_start Int64 integer Whole-number numeric column. Days since the pitcher's previous completed start.
starter_rolling_innings_last_3 float64 float Decimal numeric column. Pregame average innings pitched across the pitcher's previous three starts.
starter_rolling_strikeouts_last_3 float64 float Decimal numeric column. Pregame average strikeouts across the pitcher's previous three starts.
starter_rolling_strikeouts_last_5 float64 float Decimal numeric column. Pregame average strikeouts across the pitcher's previous five starts.
starter_rolling_walks_last_5 float64 float Decimal numeric column. Pregame average walks allowed across the pitcher's previous five starts.
starter_rolling_hits_allowed_last_5 float64 float Decimal numeric column. Pregame average hits allowed across the pitcher's previous five starts.
starter_rolling_earned_runs_last_5 float64 float Decimal numeric column. Pregame average earned runs allowed across the pitcher's previous five starts.
starter_rolling_home_runs_allowed_last_5 float64 float Decimal numeric column. Pregame average home runs allowed across the pitcher's previous five starts.
starter_rolling_batters_faced_last_3 float64 float Decimal numeric column. Pregame average batters faced across the pitcher's previous three starts.
starter_rolling_pitches_last_3 float64 float Decimal numeric column. Pregame average pitches thrown across the pitcher's previous three starts.
starter_rolling_k_rate_last_5 float64 float Decimal numeric column. Pregame strikeout rate across the pitcher's previous five starts.
starter_rolling_bb_rate_last_5 float64 float Decimal numeric column. Pregame walk rate across the pitcher's previous five starts.
starter_rolling_qs_rate_last_10 float64 float Decimal numeric column. Pregame share of the pitcher's previous ten starts that qualified as quality starts.
starter_season_to_date_innings_avg float64 float Decimal numeric column. Pregame season-to-date average innings pitched for the starter.
starter_season_to_date_k_avg float64 float Decimal numeric column. Pregame season-to-date average strikeouts for the starter.
starter_season_to_date_pitches_avg float64 float Decimal numeric column. Pregame season-to-date average pitches thrown for the starter.
starter_season_to_date_k_rate float64 float Decimal numeric column. Pregame season-to-date strikeout rate for the starter.
starter_season_to_date_qs_rate float64 float Decimal numeric column. Pregame season-to-date quality-start rate for the starter.
starter_prior_starts_vs_opponent Int64 integer Whole-number numeric column. Number of prior completed starts by the same pitcher against the same opponent before this game.
starter_prior_k_avg_vs_opponent float64 float Decimal numeric column. Pregame average strikeouts across the pitcher's prior starts against the same opponent.
starter_prior_k_rate_vs_opponent float64 float Decimal numeric column. Pregame strikeout rate across the pitcher's prior starts against the same opponent.
team_prior_games Int64 integer Whole-number numeric column. Number of prior completed games for the starting pitcher's team before this game.
team_days_since_prev_game Int64 integer Whole-number numeric column. Days since the starting pitcher's team played its previous completed game.
team_rolling_runs_scored_last_5 float64 float Decimal numeric column. Pregame average runs scored by the starting pitcher's team across its previous five games.
team_rolling_hits_last_5 float64 float Decimal numeric column. Pregame average hits by the starting pitcher's team across its previous five games.
team_rolling_walks_drawn_last_5 float64 float Decimal numeric column. Pregame average walks drawn by the starting pitcher's team across its previous five games.
team_rolling_strikeouts_drawn_last_5 float64 float Decimal numeric column. Pregame average strikeouts taken by the starting pitcher's team across its previous five games.
team_rolling_plate_appearances_last_5 float64 float Decimal numeric column. Pregame average estimated plate appearances by the starting pitcher's team across its previous five games.
team_rolling_total_bases_last_5 float64 float Decimal numeric column. Pregame average total bases produced by the starting pitcher's team across its previous five games.
team_rolling_win_pct_last_5 float64 float Decimal numeric column. Pregame win percentage for the starting pitcher's team across its previous five games.
team_season_to_date_runs_scored_avg float64 float Decimal numeric column. Pregame season-to-date average runs scored by the starting pitcher's team.
team_season_to_date_strikeouts_drawn_avg float64 float Decimal numeric column. Pregame season-to-date average strikeouts taken by the starting pitcher's team.
team_season_to_date_walks_drawn_avg float64 float Decimal numeric column. Pregame season-to-date average walks drawn by the starting pitcher's team.
team_season_to_date_k_rate float64 float Decimal numeric column. Pregame season-to-date strikeout rate for the starting pitcher's team offense.
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_rolling_runs_scored_last_5 float64 float Decimal numeric column. Pregame average runs scored by the opposing team across its previous five games.
opponent_team_rolling_hits_last_5 float64 float Decimal numeric column. Pregame average hits by the opposing team across its previous five games.
opponent_team_rolling_walks_drawn_last_5 float64 float Decimal numeric column. Pregame average walks drawn by the opposing team across its previous five games.
opponent_team_rolling_strikeouts_drawn_last_5 float64 float Decimal numeric column. Pregame average strikeouts taken by the opposing team across its previous five games.
opponent_team_rolling_plate_appearances_last_5 float64 float Decimal numeric column. Pregame average estimated plate appearances by the opposing team across its previous five games.
opponent_team_rolling_total_bases_last_5 float64 float Decimal numeric column. Pregame average total bases produced 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_runs_scored_avg float64 float Decimal numeric column. Pregame season-to-date average runs scored by the opposing team.
opponent_team_season_to_date_strikeouts_drawn_avg float64 float Decimal numeric column. Pregame season-to-date average strikeouts taken by the opposing team.
opponent_team_season_to_date_walks_drawn_avg float64 float Decimal numeric column. Pregame season-to-date average walks drawn by the opposing team.
opponent_team_season_to_date_k_rate float64 float Decimal numeric column. Pregame season-to-date strikeout rate for the opposing team offense.
source_url str string Text column. Official MLB boxscore endpoint URL for the game.
source_domain str string Text column. Source domain list 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/mlb-starting-pitcher-strikeout-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). MLB Starting Pitcher Strikeout Prop Dataset for Historical K Research. Hugging Face. https://huggingface.co/datasets/Karmane/mlb-starting-pitcher-strikeout-prop-trends
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