MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | Split | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|---|
 |
June | 97 | 35 | 2 | 10 | .361 | .404 | .515 | .919 | |
 |
Last 15 Days | 26 | 8 | 2 | 3 | .308 | .379 | .538 | .918 | |
 |
August | 26 | 8 | 1 | 3 | .308 | .379 | .538 | .918 | |
 |
Last 7 Days | 20 | 5 | 2 | 4 | .250 | .318 | .600 | .918 | |
 |
Last 7 Days | 24 | 6 | 2 | 4 | .250 | .333 | .583 | .917 | |
 |
July | 12 | 4 | 1 | 4 | .333 | .333 | .583 | .917 | |
 |
September | 45 | 17 | 1 | 4 | .378 | .429 | .489 | .917 | |
 |
April | 88 | 22 | 7 | 12 | .250 | .359 | .557 | .916 | |
 |
September | 76 | 23 | 6 | 13 | .303 | .338 | .579 | .916 | |
|
September | 39 | 11 | 4 | 8 | .282 | .326 | .590 | .915 | |
|
Last 30 Days | 39 | 11 | 4 | 8 | .282 | .326 | .590 | .915 | |
 |
July | 47 | 14 | 1 | 2 | .298 | .340 | .574 | .914 | |
|
May | 59 | 19 | 2 | 8 | .322 | .406 | .508 | .914 | |
 |
June | 89 | 30 | 4 | 17 | .337 | .385 | .528 | .914 | |
 |
April | 84 | 22 | 7 | 14 | .262 | .354 | .560 | .913 | |
 |
April | 42 | 12 | 3 | 6 | .286 | .318 | .595 | .913 | |
|
Last 7 Days | 19 | 5 | 1 | 3 | .263 | .333 | .579 | .912 | |
|
May | 96 | 27 | 7 | 16 | .281 | .349 | .563 | .912 | |
|
March | 14 | 4 | 1 | 4 | .286 | .412 | .500 | .912 | |
 |
Last 15 Days | 23 | 6 | 2 | 4 | .261 | .346 | .565 | .911 | |
|
August | 44 | 14 | 1 | 5 | .318 | .434 | .477 | .911 | |
|
March | 17 | 4 | 1 | 3 | .235 | .381 | .529 | .910 | |
  |
July | 91 | 28 | 2 | 7 | .308 | .438 | .473 | .910 | |
  |
April | 80 | 27 | 1 | 13 | .338 | .421 | .488 | .909 | |
|
April | 102 | 33 | 3 | 16 | .324 | .369 | .539 | .909 | |
|
September | 47 | 12 | 4 | 14 | .255 | .333 | .574 | .908 | |
|
Last 30 Days | 47 | 12 | 4 | 14 | .255 | .333 | .574 | .908 | |
|
April | 101 | 25 | 8 | 20 | .248 | .361 | .545 | .906 | |
|
August | 92 | 26 | 6 | 16 | .283 | .362 | .543 | .905 | |
|
August | 103 | 25 | 10 | 17 | .243 | .371 | .534 | .905 | |
|
May | 92 | 29 | 4 | 15 | .315 | .382 | .522 | .904 | |
|
Last 30 Days | 96 | 27 | 6 | 19 | .281 | .361 | .542 | .903 | |
|
May | 75 | 19 | 6 | 15 | .253 | .329 | .573 | .903 | |
|
March | 14 | 4 | 0 | 2 | .286 | .474 | .429 | .902 | |
|
May | 96 | 29 | 5 | 16 | .302 | .370 | .531 | .902 | |
|
June | 95 | 31 | 3 | 14 | .326 | .418 | .484 | .902 | |
|
April | 101 | 27 | 5 | 18 | .267 | .387 | .515 | .902 | |
|
Last 30 Days | 48 | 18 | 1 | 4 | .375 | .423 | .479 | .902 | |
|
April | 64 | 20 | 2 | 9 | .313 | .370 | .531 | .901 | |
 |
July | 43 | 10 | 3 | 5 | .233 | .389 | .512 | .901 | |
|
August | 75 | 22 | 2 | 17 | .293 | .460 | .440 | .900 | |
|
September | 82 | 24 | 7 | 14 | .293 | .352 | .549 | .900 | |
 |
May | 99 | 26 | 7 | 17 | .263 | .333 | .566 | .899 | |
|
June | 59 | 17 | 5 | 8 | .288 | .323 | .576 | .899 | |
 |
May | 85 | 29 | 3 | 18 | .341 | .417 | .482 | .899 | |
|
June | 93 | 27 | 4 | 18 | .290 | .383 | .516 | .899 | |
|
September | 92 | 25 | 6 | 17 | .272 | .356 | .543 | .899 | |
|
April | 57 | 15 | 5 | 11 | .263 | .354 | .544 | .898 | |
|
July | 91 | 20 | 10 | 18 | .220 | .305 | .593 | .898 | |
|
May | 110 | 36 | 5 | 18 | .327 | .380 | .518 | .898 |
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.