All 7 Packages

What's inside

• Historical baseball archive — 27 tables of records dating back to 1871 (Batting, Pitching, Fielding, Teams, Salaries, HOF, Awards, All-Star, postseason, Managers, Parks, People, College, Franchises, etc.)
• Retrosheet game logs — every MLB game 1898–2025 (224,877 games × 44 cols)
• Game logs enriched — 39,782 games (2010–2026) with days rest, rolling 10-game win%, series numbers, back-to-back flags, run differentials
• Standings master — daily 2010–2026 (32,847 rows)
• Attendance master — every team every season 2010–2025
• Postseason batting / pitching / fielding / series
• Manager career stats — win%, career_games, career_wins (4,410 manager-seasons)
• Franchise history — Teams ⨝ Franchises (3,614 team-seasons)
• Salary history — 1985–2016 with rank and % of payroll
• Hall of Fame + awards — MVP, Cy Young, ROY, Gold Glove, Silver Slugger, All-Star (3,430 players × 93 cols)
• Player bios — 24,270 players: birthplace, debut year, college

Why it stands out

• 27 historical tables in one clean download — no hunting across multiple sites
• Enriched game logs with features no free source provides (rolling win%, days rest, series tracking)
• Excel-friendly for non-coders — open and start analyzing immediately
• Updated every November with the new season

Extras included

• Data dictionary (every file + row counts)
• README with suggested use cases

What's inside

• Odds master — 76,000+ game lines, all sources merged, 2010–2026
• Unified odds — cleaned moneyline history
• SBR odds 2021–2025 + SBR totals 2022–2026
• Line movement — opening to closing line shifts
• Odds API historical — 2,466,967 rows of timestamped lines
• Multiple book/source pulls (catchup, current, complete_odds_2016_2026, historical_odds, matched_odds)
• Umpire tendencies — zone tendencies, called strike rate, K-boost vs league average, all 135 HP umpires, 2016–2026
• Game ⨝ ump roster (105,680 game-ump rows)

Why it stands out

• Odds from 6+ sources merged and deduplicated into one master file
• Line movement data showing where the sharp money went
• Umpire zone tendencies included — a massive edge most bettors don't factor in
• Deep historical coverage — every line 2010–2026 for backtesting any betting system

Extras included

• Data dictionary
• Umpire tendency lookup guide
• Line movement interpretation guide

What's inside

• Everything in The Oddsmaker — all odds + umpire tendencies
• Weather master — 139,783 game-day weather readings (temp, wind, humidity, pressure, dewpoint)
• Game logs enriched — 33 cols including rolling win%, run diff, days rest
• Park factors — by year and venue (510 rows × 18 cols)
• Standings master
• Venues — stadium details (lat/lon, elevation, attendance, duration)
• Game logs raw (18 cols)

Why it stands out

• Weather + odds + line movement + park factors + game context in one package
• Parquet format for fast loading in Python/R — handle millions of rows instantly
• The exact data inputs a professional betting model needs
• Updated annually

Extras included

• Data dictionary
• Python quickstart notebook (load and join all files in 10 lines)
• Weather variable glossary

What's inside

• Pitcher stats enriched — 12,803 rows × 556 cols (QS rate, K-BB%, FIP-ERA delta, xERA-ERA delta, SIERA-ERA delta, BABIP vs career, ERA/FIP/K% YoY, career_ip)
• Batter stats enriched — 22,905 rows × 483 cols (power_score, xwOBA-wOBA delta, xBA-BA delta, wRC+ YoY, plate discipline, career_pa, BABIP vs career)
• WAR enriched (pitcher 57,364 / batter 125,317) — career_war_cumulative, peak, per_162, YoY, seasons_played
• FIP / xFIP / SIERA full history
• Pitcher Stuff+ ratings (2017–2025)
• Pitcher velocity trends — within-season velocity changes
• Team batting / pitching / fielding (FanGraphs team-level)
• Bullpen usage — workload patterns 2015–2025
• Sprint speed 2015–2025
• Outs above average (Statcast OAA)
• Running splits 2015–2025
• Lineups master 2010–2026
• TeamRankings stats
• Statcast batter & pitcher EV/barrels, expected stats, percentiles, pitch arsenal
• Catcher framing run values + pop time
• SP name ⇄ MLBAM ID crosswalk

Why it stands out

• Pre-computed derived features nobody wants to build themselves (YoY changes, career cumulative, luck deltas)
• 556 pitcher cols + 483 batter cols — the most complete player stat file available anywhere
• Lineup data going back to 2010 (retrosheet-derived 2010–2015, MLB API 2016–2026)
• Updated annually

Extras included

• Data dictionary (all 556 pitcher cols + 483 batter cols explained)
• Suggested features for fantasy scoring models
• Python quickstart notebook

What's inside

• Statcast pitch-by-pitch — all 12 seasons 2015–2026, every single pitch (~7.7M rows × 118 cols)
• Pitcher arsenal complete — pitch mix, velocity, spin, whiff rate, called strike rate, zone rate (2015–2026)
• Head-to-head career — 637,696 unique pitcher × batter matchups (BA, wOBA, xwOBA, K rate, BB rate)
• Head-to-head by season — 953,922 rows broken out per year
• Batter / pitcher platoon splits (vs LHP/RHP, vs LHB/RHB)
• Day/night splits per player
• Home/away splits per player
• Pitcher velocity fatigue — 5 pitch-count buckets (1-25, 26-50, 51-75, 76-100, 100+) showing velocity drop, spin drop, whiff rate within game
• SP first inning ERA — starter-only first-inning K/BB/whiff (2015–2026)
• Statcast batter & pitcher EV/barrels, expected stats, percentiles
• Catcher framing + pop time

Why it stands out

• 12 seasons of raw pitch-by-pitch is ~1 billion data points — impossible to compile yourself
• Head-to-head matchup data for 637,696 career pitcher-batter combinations — unique to this package
• Velocity fatigue curves showing exactly when pitchers lose stuff within a game
• Parquet + JSON for maximum compatibility with ML pipelines
• Updated annually

Extras included

• Data dictionary
• Python quickstart notebook (load a season, filter by pitcher, plot velocity fatigue in 15 lines)
• Statcast column glossary

What's inside

• Everything in packages 1 through 5
• Every parquet file in our source library — 130+ tables
• Full historical archive — 27 tables, records back to 1871
• Full pitch-by-pitch tracking — 12 seasons
• All odds sources
• All enriched and computed files
• All splits, matchups, fatigue curves, umpire tendencies

Why it stands out

• One purchase = the entire dataset — nothing held back
• Parquet + JSON = works with any modern data stack (pandas, Spark, DuckDB, BigQuery, Snowflake)
• 130+ pre-cleaned tables ready to join — months of data engineering work already done
• Updated annually — every table refreshed

Extras included

• Full data dictionary for all 130+ files
• Python quickstart notebook