README.md

---

language:
- en
license: cc-by-4.0
size_categories:
- 1K<n<10K
task_categories:
- tabular-regression
tags:
- mlb
- baseball
- same-game-parlay
- parlay-research
- sports
- sports-analytics
- sports-betting-research
- fantasy-baseball
- hitter-props
- total-bases
- player-game
- tabular
- parquet
pretty_name: "MLB Same-Game Parlay Hitter Trend Dataset for Total Bases and RBI Research (Free Sample)"
configs:
- config_name: default
  data_files:
      - split: data
        path: "data/data.parquet"
---


# MLB Same-Game Parlay Hitter Trend Dataset for Total Bases and RBI Research

## Question this dataset helps answer
Which MLB hitters historically clear same-game parlay legs like 1+ hit, 2+ total bases, 1+ RBI, 1+ run, or 1+ home run, and what pregame form plus opposing-starter context was present before first pitch?

## Short answer
This dataset helps sports-betting researchers, fantasy baseball analysts, and dashboard builders investigate which MLB hitters clear common same-game parlay legs using rolling hitter form, matchup history, team context, and opposing-starter trends.

## What the public preview proves
- Which teams, hitters, parks, and seasons are represented in the sample
- Which columns are usable as pre-event hitter or opposing-starter features versus post-event outcomes
- Which rows already support total-bases, hit, RBI, run-scored, and home-run screening workflows

## Public preview vs full dataset
- Preview: 8391 rows and 122 columns
- Full: 167824 rows and 122 columns

The full dataset includes 167824 rows across MLB hitter-game observations, making it large enough for dashboard analysis, historical filtering, same-game parlay research, and exploratory modeling workflows.

**Full dataset access:** https://thearticulated.gumroad.com/l/enkwx

## Loading example
`from datasets import load_dataset; ds = load_dataset("Karmane/mlb-same-game-parlay-hitter-trends-sample"); df = ds["data"].to_pandas()`

## 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.

## Modeling notes
- Each row represents one hitter in one completed MLB regular-season game.
- Pre-event features include rolling hitter form, matchup history versus the opponent team, team context, and opposing-starter trend features.
- Outcomes include actual hits, total bases, RBI, runs, home runs, and threshold-hit flags for the completed game.
- The sample is meant to prove schema, coverage, and row meaning rather than replace the full dataset.


**This is a free preview.** Load it instantly, inspect the schema, and validate quality before purchasing the full dataset.

---

## What This Preview Proves

- **Sample rows:** 8,391 (full dataset: 167,824 rows)
- **Columns:** 122 fields, fully described below
- **Format:** parquet (loads in pandas, HF datasets, or any parquet reader)
- **No authentication required** to load this sample
- **Schema and quality** are identical to the paid full dataset

---

## Upgrade to Full Dataset

The full production dataset contains **167,824 rows** across **122 columns**.

**Full dataset access:** [https://thearticulated.gumroad.com/l/enkwx](https://thearticulated.gumroad.com/l/enkwx)

After purchase, provide your Hugging Face username and request access on the [full dataset page](https://huggingface.co/datasets/Karmane/mlb-same-game-parlay-hitter-trends).

---

## Quick Start

```python

from datasets import load_dataset



dataset = load_dataset("Karmane/mlb-same-game-parlay-hitter-trends-sample")

df = dataset["data"].to_pandas()

print(f"Rows: {len(df):,}, Columns: {len(df.columns)}")

print(df.head())

```

Or with pandas directly:

```python

import pandas as pd

df = pd.read_parquet("hf://datasets/Karmane/mlb-same-game-parlay-hitter-trends-sample/data/data.parquet")

print(df.head())

```

---

## Use Cases

- Compare which hitters historically clear hit, total-bases, RBI, run-scored, or home-run thresholds.
- Screen hitter rows by recent form, batting-order slot, opponent-team history, or opposing-starter context.
- Build time-aware notebooks that keep pregame hitter features separate from postgame outcomes.
- Filter by team, opponent, venue, or starter trends before building dashboards or exploratory models.

---

## Column Descriptions

- `record_id`: Stable row identifier built from the MLB game identifier and hitter identifier.
- `game_pk`: Official MLB game identifier for the completed regular-season game.
- `season`: MLB season year for the game.
- `official_date`: Official game date in local calendar terms.
- `game_datetime_utc`: Scheduled first-pitch timestamp in UTC.
- `day_night`: MLB day or night game label.
- `doubleheader_flag`: Boolean flag indicating that the game was part of a doubleheader.
- `games_in_series`: Number of games scheduled in the series when provided by MLB.
- `series_game_number`: Game number inside the series when provided by MLB.
- `series_description`: MLB series label such as Regular Season or Interleague.
- `scheduled_innings`: Scheduled inning count for the game.
- `venue_id`: Official MLB venue identifier.
- `venue_name`: Venue name for the game.
- `venue_city`: Venue city.
- `venue_state`: Venue state or province abbreviation when provided by MLB.
- `venue_timezone`: Venue timezone identifier from the official schedule feed.
- `team_id`: Official MLB identifier for the hitter's team.
- `team_abbreviation`: Team abbreviation for the hitter's team.
- `team_name`: Full team name for the hitter's team.
- `opponent_team_id`: Official MLB identifier for the opposing team.
- `opponent_team_abbreviation`: Team abbreviation for the opposing team.
- `opponent_team_name`: Full team name for the opposing team.
- `home_away`: Home or away context for the hitter's team.
- `is_home`: Boolean flag indicating that the hitter's team was at home.
- `player_id`: Official MLB player identifier for the hitter.
- `player_name`: Full player name for the hitter.
- `player_position`: Primary listed fielding position abbreviation for the hitter in that game.
- `player_all_positions`: Pipe-delimited list of listed positions for the hitter in that game.
- `batting_order_slot`: Starting lineup slot from 1-9 when the hitter opened in the batting order.
- `is_starting_lineup`: Boolean flag indicating that the hitter was part of the starting batting order.
- `is_substitute`: Boolean flag indicating that MLB marked the player as a substitute at some point in the game.
- `opponent_probable_starter_id`: Official MLB identifier for the opposing probable starter from the schedule feed.
- `opponent_probable_starter_name`: Name of the opposing probable starter from the schedule feed.
- `opponent_starter_id`: Official MLB identifier for the opposing actual starting pitcher from the box score.
- `opponent_starter_name`: Name of the opposing actual starting pitcher from the box score.
- `opponent_starter_was_probable`: Boolean flag indicating whether the opposing actual starter matched the schedule probable starter.
- `plate_appearances`: Plate appearances recorded by the hitter in the completed game.
- `at_bats`: Official at-bats recorded by the hitter in the completed game.
- `hits`: Hits recorded by the hitter in the completed game.
- `runs`: Runs scored by the hitter in the completed game.
- `rbi`: Runs batted in recorded by the hitter in the completed game.
- `walks`: Bases on balls recorded by the hitter in the completed game.
- `strikeouts`: Strikeouts recorded by the hitter in the completed game.
- `hit_by_pitch`: Hit-by-pitch events recorded for the hitter in the completed game.
- `sac_flies`: Sacrifice flies recorded by the hitter in the completed game.
- `sac_bunts`: Sacrifice bunts recorded by the hitter in the completed game.
- `stolen_bases`: Stolen bases recorded by the hitter in the completed game.
- `doubles`: Doubles recorded by the hitter in the completed game.
- `triples`: Triples recorded by the hitter in the completed game.
- `home_runs`: Home runs recorded by the hitter in the completed game.
- `total_bases`: Total bases recorded by the hitter in the completed game.
- `left_on_base`: Runners left on base by the hitter in the completed game.
- `team_score`: Runs scored by the hitter's team in the completed game.
- `opponent_score`: Runs scored by the opposing team in the completed game.
- `team_hits`: Hits recorded by the hitter's team in the completed game.
- `opponent_hits`: Hits recorded by the opposing team in the completed game.
- `team_won`: Boolean flag indicating that the hitter's team won the game.
- `hit_1plus`: Boolean outcome flag for the common 1+ hit leg.
- `hit_2plus`: Boolean outcome flag for the common 2+ hits ladder leg.
- `total_bases_2plus`: Boolean outcome flag for the common 2+ total bases leg.
- `total_bases_3plus`: Boolean outcome flag for the common 3+ total bases ladder leg.
- `rbi_1plus`: Boolean outcome flag for the common 1+ RBI leg.
- `runs_1plus`: Boolean outcome flag for the common 1+ run scored leg.
- `home_run_1plus`: Boolean outcome flag for the common home-run leg.
- `player_prior_games`: Number of prior completed games for the hitter before this game.
- `player_days_since_prev_game`: Days since the hitter's previous completed game.
- `player_rolling_plate_appearances_last_5`: Pregame average plate appearances across the hitter's previous five games.
- `player_rolling_hits_last_5`: Pregame average hits across the hitter's previous five games.
- `player_rolling_total_bases_last_5`: Pregame average total bases across the hitter's previous five games.
- `player_rolling_rbi_last_5`: Pregame average RBI across the hitter's previous five games.
- `player_rolling_runs_last_5`: Pregame average runs scored across the hitter's previous five games.
- `player_rolling_home_runs_last_10`: Pregame average home runs across the hitter's previous ten games.
- `player_rolling_batting_avg_last_10`: Pregame batting average calculated from the hitter's previous ten games.
- `player_rolling_hit_rate_last_10`: Pregame share of the hitter's previous ten games with at least one hit.
- `player_rolling_tb2_rate_last_10`: Pregame share of the hitter's previous ten games with at least two total bases.
- `player_rolling_rbi_rate_last_10`: Pregame share of the hitter's previous ten games with at least one RBI.
- `player_rolling_run_rate_last_10`: Pregame share of the hitter's previous ten games with at least one run scored.
- `player_rolling_hr_rate_last_10`: Pregame share of the hitter's previous ten games with at least one home run.
- `player_rolling_strikeout_rate_last_10`: Pregame strikeout-per-plate-appearance rate across the hitter's previous ten games.
- `player_rolling_walk_rate_last_10`: Pregame walk-per-plate-appearance rate across the hitter's previous ten games.
- `player_season_to_date_hit_rate`: Pregame season-to-date share of games with at least one hit.
- `player_season_to_date_tb2_rate`: Pregame season-to-date share of games with at least two total bases.
- `player_season_to_date_rbi_rate`: Pregame season-to-date share of games with at least one RBI.
- `player_season_to_date_run_rate`: Pregame season-to-date share of games with at least one run scored.
- `player_season_to_date_hr_rate`: Pregame season-to-date share of games with at least one home run.
- `prior_games_vs_opponent`: Number of prior completed games for the hitter against the same opponent before this game.
- `prior_hit_rate_vs_opponent`: Pregame share of prior games against the same opponent with at least one hit.
- `prior_tb2_rate_vs_opponent`: Pregame share of prior games against the same opponent with at least two total bases.
- `team_prior_games`: Number of prior completed games for the hitter's team before this game.
- `team_days_since_prev_game`: Days since the hitter's team played its previous completed game.
- `team_rolling_runs_scored_last_5`: Pregame average runs scored by the hitter's team across its previous five games.
- `team_rolling_hits_last_5`: Pregame average hits by the hitter's team across its previous five games.
- `team_rolling_runs_allowed_last_5`: Pregame average runs allowed by the hitter's team across its previous five games.
- `team_rolling_hits_allowed_last_5`: Pregame average hits allowed by the hitter's team across its previous five games.
- `team_rolling_win_pct_last_5`: Pregame win percentage for the hitter's team across its previous five games.
- `team_season_to_date_runs_scored_avg`: Pregame season-to-date average runs scored by the hitter's team.
- `team_season_to_date_hits_avg`: Pregame season-to-date average hits by the hitter's team.
- `team_season_to_date_runs_allowed_avg`: Pregame season-to-date average runs allowed by the hitter's team.
- `opponent_team_prior_games`: Number of prior completed games for the opposing team before this matchup.
- `opponent_team_days_since_prev_game`: Days since the opposing team played its previous completed game.
- `opponent_team_rolling_runs_scored_last_5`: Pregame average runs scored by the opposing team across its previous five games.
- `opponent_team_rolling_hits_last_5`: Pregame average hits by the opposing team across its previous five games.
- `opponent_team_rolling_runs_allowed_last_5`: Pregame average runs allowed by the opposing team across its previous five games.
- `opponent_team_rolling_hits_allowed_last_5`: Pregame average hits allowed by the opposing team across its previous five games.
- `opponent_team_rolling_win_pct_last_5`: Pregame win percentage for the opposing team across its previous five games.
- `opponent_team_season_to_date_runs_scored_avg`: Pregame season-to-date average runs scored by the opposing team.
- `opponent_team_season_to_date_hits_avg`: Pregame season-to-date average hits by the opposing team.
- `opponent_team_season_to_date_runs_allowed_avg`: Pregame season-to-date average runs allowed by the opposing team.
- `opponent_starter_prior_starts`: Number of prior completed starts for the opposing actual starter before this game.
- `opponent_starter_days_since_prev_start`: Days since the opposing actual starter's previous completed start.
- `opponent_starter_rolling_innings_last_3`: Pregame average innings pitched across the opposing starter's previous three starts.
- `opponent_starter_rolling_hits_allowed_last_3`: Pregame average hits allowed across the opposing starter's previous three starts.
- `opponent_starter_rolling_earned_runs_last_3`: Pregame average earned runs allowed across the opposing starter's previous three starts.
- `opponent_starter_rolling_walks_allowed_last_3`: Pregame average walks allowed across the opposing starter's previous three starts.
- `opponent_starter_rolling_strikeouts_last_3`: Pregame average strikeouts recorded across the opposing starter's previous three starts.
- `opponent_starter_rolling_home_runs_allowed_last_3`: Pregame average home runs allowed across the opposing starter's previous three starts.
- `opponent_starter_rolling_era_last_5`: Pregame ERA calculated from the opposing starter's previous five starts.
- `opponent_starter_rolling_whip_last_5`: Pregame WHIP calculated from the opposing starter's previous five starts.
- `opponent_starter_season_to_date_era`: Pregame season-to-date ERA for the opposing actual starter.
- `source_url`: Official MLB schedule endpoint URL for the game.
- `source_domain`: Source domain list used to build the row.
- `last_collected_at`: UTC timestamp when the current dataset build finished.

---

## Dataset Structure

- **Rows:** 8,391
- **Columns:** 122
- **Split:** `data`
- **File:** `data/data.parquet`

---

## Full Dataset Access

| | Sample (this repo) | Full Dataset |
|---|---|---|
| Rows | 8,391 | 167,824 |
| Columns | 122 | 122 |
| Auth required | No | Yes (after purchase) |
| Price | Free | [See pricing](https://thearticulated.gumroad.com/l/enkwx) |



## Final CTA

**Get the full dataset:** [https://thearticulated.gumroad.com/l/enkwx](https://thearticulated.gumroad.com/l/enkwx)

---

Karmane. (2025). _MLB Same-Game Parlay Hitter Trend Dataset for Total Bases and RBI Research (Free Sample)_. Hugging Face. [https://huggingface.co/datasets/Karmane/mlb-same-game-parlay-hitter-trends-sample](https://huggingface.co/datasets/Karmane/mlb-same-game-parlay-hitter-trends-sample)