MLB Batting Splits 2026
Performance splits by handedness, home/away, and situational categories.
| Player | Team | Split | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|---|
  |
Last 7 Days | 20 | 7 | 0 | 3 | .350 | .381 | .450 | .831 | |
  |
Last 30 Days | 83 | 26 | 0 | 12 | .313 | .422 | .410 | .831 | |
  |
September | 33 | 11 | 0 | 2 | .333 | .436 | .394 | .830 | |
  |
Last 15 Days | 26 | 10 | 0 | 1 | .385 | .407 | .423 | .830 | |
  |
September | 44 | 11 | 3 | 7 | .250 | .353 | .477 | .830 | |
  |
August | 19 | 6 | 0 | 2 | .316 | .409 | .421 | .830 | |
  |
August | 64 | 20 | 2 | 10 | .313 | .361 | .469 | .830 | |
  |
August | 98 | 32 | 1 | 17 | .327 | .391 | .439 | .830 | |
|
Last 30 Days | 82 | 20 | 5 | 13 | .244 | .330 | .500 | .830 | |
|
July | 85 | 31 | 0 | 4 | .365 | .371 | .459 | .830 | |
  |
September | 49 | 10 | 4 | 6 | .204 | .381 | .449 | .830 | |
  |
May | 73 | 19 | 4 | 10 | .260 | .349 | .479 | .829 | |
|
May | 113 | 33 | 5 | 17 | .292 | .325 | .504 | .829 | |
  |
Last 15 Days | 46 | 14 | 1 | 4 | .304 | .373 | .457 | .829 | |
  |
September | 68 | 21 | 1 | 8 | .309 | .388 | .441 | .829 | |
|
August | 91 | 27 | 4 | 17 | .297 | .366 | .462 | .828 | |
|
August | 78 | 19 | 5 | 19 | .244 | .341 | .487 | .828 | |
|
April | 94 | 28 | 2 | 9 | .298 | .370 | .457 | .828 | |
  |
March | 17 | 3 | 0 | 0 | .176 | .417 | .412 | .828 | |
|
June | 69 | 18 | 5 | 9 | .261 | .350 | .478 | .828 | |
|
September | 56 | 17 | 3 | 3 | .304 | .328 | .500 | .828 | |
|
Last 30 Days | 104 | 31 | 4 | 11 | .298 | .376 | .452 | .828 | |
|
August | 107 | 35 | 1 | 9 | .327 | .397 | .430 | .827 | |
  |
May | 100 | 23 | 6 | 17 | .230 | .347 | .480 | .827 | |
  |
June | 48 | 12 | 3 | 9 | .250 | .327 | .500 | .827 |
Understanding Monthly Splits
Monthly splits track a hitter's performance across the season. April through October each bring different conditions — weather, fatigue, roster composition, and pitcher workload all shift as the season progresses. Identifying hot and cold streaks is essential for in-season DFS and betting.
Early Season (March-April)
Cold weather suppresses offense league-wide. Pitchers are often fresher and throwing harder. Small sample sizes make early-season splits volatile — a 10-game hot streak in April can produce a misleading .400 AVG. Weight these splits cautiously until June.
Peak Season (May-August)
Warm weather boosts offense, and sample sizes become meaningful. By July, monthly splits reveal real trends — a hitter who consistently rakes in summer months is a reliable warm-weather producer. August fatigue can affect some players, especially catchers and older veterans.
Stretch Run (September-October)
September roster expansions change matchup dynamics. October splits only apply to playoff teams. For DFS and betting, September splits are useful for identifying hitters who finish strong under pressure — these "second-half" hitters are often undervalued by the market.
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Data Source & Methodology
Batting splits sourced from MLB Stats API. Stats reflect current season data and update daily as games are played.
Frequently Asked Questions
Are monthly batting splits predictive?
- Monthly splits are more descriptive than predictive for individual months. However, consistent patterns across multiple seasons (e.g., a hitter who always rakes in July-August) can signal real tendencies. Use monthly splits to identify hot streaks and cold spells within the current season rather than predicting future months.
Why do hitters perform differently by month?
- Weather is the biggest factor — cold April air suppresses fly balls, while summer heat helps the ball carry. Pitcher fatigue accumulates over the season, often boosting hitter stats in August-September. Some hitters also have personal patterns tied to conditioning, injury history, or mechanical adjustments.
How should I use monthly splits for DFS?
- Use current-month splits to identify who is hot right now. A hitter slashing .350/.400/.600 in the current month is likely seeing the ball well and making hard contact. Combine monthly form with matchup data for the strongest DFS plays. Don't chase month-old hot streaks that have already cooled.