MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | Split | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|---|
 |
April | 30 | 11 | 0 | 3 | .367 | .513 | .367 | .879 | |
 |
May | 98 | 32 | 3 | 11 | .327 | .389 | .490 | .879 | |
 |
July | 22 | 7 | 1 | 3 | .318 | .333 | .545 | .879 | |
|
Last 30 Days | 86 | 19 | 9 | 16 | .221 | .309 | .570 | .879 | |
 |
June | 104 | 31 | 6 | 14 | .298 | .360 | .519 | .879 | |
|
September | 86 | 19 | 9 | 16 | .221 | .309 | .570 | .879 | |
 |
Last 7 Days | 22 | 7 | 1 | 3 | .318 | .423 | .455 | .878 | |
|
Last 30 Days | 72 | 23 | 2 | 16 | .319 | .364 | .514 | .878 | |
 |
September | 55 | 14 | 4 | 12 | .255 | .369 | .509 | .878 | |
 |
July | 30 | 7 | 2 | 5 | .233 | .378 | .500 | .878 | |
|
April | 98 | 33 | 2 | 14 | .337 | .387 | .490 | .877 | |
 |
Last 7 Days | 18 | 3 | 3 | 4 | .167 | .211 | .667 | .877 | |
 |
May | 96 | 26 | 6 | 22 | .271 | .345 | .531 | .877 | |
 |
April | 58 | 18 | 1 | 6 | .310 | .429 | .448 | .877 | |
 |
July | 31 | 8 | 2 | 5 | .258 | .361 | .516 | .877 | |
|
Last 30 Days | 58 | 15 | 4 | 12 | .259 | .377 | .500 | .877 | |
|
April | 77 | 25 | 2 | 14 | .325 | .447 | .429 | .875 | |
|
May | 67 | 21 | 4 | 10 | .313 | .352 | .522 | .875 | |
|
August | 94 | 26 | 6 | 12 | .277 | .364 | .511 | .875 | |
|
June | 81 | 20 | 6 | 14 | .247 | .367 | .506 | .874 | |
|
September | 90 | 24 | 6 | 17 | .267 | .362 | .511 | .873 | |
|
March | 13 | 3 | 1 | 4 | .231 | .412 | .462 | .873 | |
|
September | 62 | 18 | 3 | 16 | .290 | .324 | .548 | .872 | |
|
June | 107 | 33 | 4 | 12 | .308 | .368 | .505 | .872 | |
|
July | 18 | 5 | 1 | 3 | .278 | .316 | .556 | .871 | |
|
August | 106 | 25 | 9 | 19 | .236 | .305 | .566 | .871 | |
|
September | 29 | 10 | 0 | 1 | .345 | .387 | .483 | .870 | |
 |
Last 15 Days | 42 | 9 | 4 | 10 | .214 | .370 | .500 | .870 | |
|
Last 30 Days | 29 | 10 | 0 | 1 | .345 | .387 | .483 | .870 | |
|
April | 95 | 29 | 4 | 16 | .305 | .374 | .495 | .869 | |
 |
May | 60 | 17 | 3 | 5 | .283 | .386 | .483 | .869 | |
|
June | 90 | 28 | 3 | 9 | .311 | .380 | .489 | .869 | |
|
September | 73 | 22 | 3 | 12 | .301 | .363 | .507 | .869 | |
|
August | 50 | 14 | 4 | 12 | .280 | .309 | .560 | .869 | |
 |
May | 103 | 30 | 5 | 12 | .291 | .413 | .456 | .869 | |
 |
July | 69 | 20 | 3 | 10 | .290 | .346 | .522 | .868 | |
  |
March | 18 | 6 | 0 | 2 | .333 | .368 | .500 | .868 | |
 |
Last 30 Days | 90 | 27 | 3 | 14 | .300 | .400 | .467 | .867 | |
|
May | 31 | 10 | 1 | 2 | .323 | .382 | .484 | .866 | |
|
August | 86 | 23 | 7 | 17 | .267 | .319 | .547 | .866 | |
|
July | 100 | 28 | 5 | 21 | .280 | .365 | .500 | .865 | |
|
August | 101 | 30 | 5 | 14 | .297 | .330 | .535 | .865 | |
|
Last 7 Days | 10 | 3 | 0 | 2 | .300 | .364 | .500 | .864 | |
|
April | 70 | 20 | 2 | 9 | .286 | .393 | .471 | .864 | |
|
August | 27 | 8 | 0 | 4 | .296 | .345 | .519 | .863 | |
|
May | 12 | 4 | 0 | 0 | .333 | .529 | .333 | .863 | |
|
July | 88 | 26 | 5 | 19 | .295 | .351 | .511 | .862 | |
|
August | 92 | 20 | 8 | 18 | .217 | .339 | .522 | .861 | |
 |
August | 107 | 31 | 5 | 18 | .290 | .374 | .486 | .860 | |
|
June | 80 | 20 | 6 | 14 | .250 | .310 | .550 | .860 |
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.