MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | Split | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▲ |
|---|---|---|---|---|---|---|---|---|---|---|
 |
March | 15 | 4 | 1 | 1 | .267 | .353 | .533 | .886 | |
 |
June | 38 | 10 | 3 | 10 | .263 | .333 | .553 | .886 | |
 |
April | 63 | 19 | 4 | 6 | .302 | .362 | .524 | .886 | |
 |
Last 30 Days | 103 | 29 | 7 | 16 | .282 | .333 | .553 | .887 | |
 |
May | 89 | 26 | 4 | 12 | .292 | .370 | .517 | .887 | |
 |
June | 100 | 34 | 3 | 14 | .340 | .407 | .480 | .887 | |
|
September | 32 | 8 | 3 | 8 | .250 | .324 | .563 | .887 | |
|
April | 85 | 29 | 1 | 13 | .341 | .429 | .459 | .887 | |
 |
Last 7 Days | 24 | 7 | 2 | 3 | .292 | .346 | .542 | .888 | |
 |
Last 30 Days | 83 | 25 | 4 | 14 | .301 | .333 | .554 | .888 | |
 |
September | 49 | 14 | 2 | 11 | .286 | .357 | .531 | .888 | |
|
September | 101 | 29 | 4 | 17 | .287 | .374 | .515 | .889 | |
|
May | 92 | 26 | 4 | 13 | .283 | .389 | .500 | .889 | |
 |
Last 30 Days | 94 | 25 | 7 | 18 | .266 | .358 | .532 | .890 | |
|
June | 55 | 17 | 3 | 5 | .309 | .381 | .509 | .890 | |
 |
Last 7 Days | 20 | 6 | 1 | 2 | .300 | .391 | .500 | .891 | |
  |
September | 22 | 8 | 1 | 3 | .364 | .391 | .500 | .891 | |
|
May | 91 | 25 | 8 | 22 | .275 | .320 | .571 | .891 | |
 |
June | 34 | 12 | 1 | 4 | .353 | .361 | .529 | .891 | |
 |
July | 92 | 25 | 6 | 17 | .272 | .337 | .554 | .891 | |
  |
June | 78 | 25 | 2 | 6 | .321 | .353 | .538 | .891 | |
 |
April | 77 | 22 | 7 | 13 | .286 | .321 | .571 | .892 | |
|
March | 17 | 7 | 0 | 5 | .412 | .421 | .471 | .892 | |
|
July | 90 | 24 | 6 | 18 | .267 | .337 | .556 | .892 | |
|
May | 102 | 28 | 7 | 24 | .275 | .345 | .549 | .894 | |
|
July | 95 | 27 | 6 | 24 | .284 | .327 | .568 | .895 | |
|
April | 100 | 33 | 2 | 9 | .330 | .395 | .500 | .895 | |
|
July | 93 | 23 | 6 | 16 | .247 | .400 | .495 | .895 | |
|
Last 7 Days | 16 | 4 | 1 | 5 | .250 | .333 | .563 | .896 | |
 |
Last 15 Days | 12 | 2 | 2 | 3 | .167 | .231 | .667 | .897 | |
|
June | 93 | 25 | 6 | 20 | .269 | .391 | .505 | .897 | |
|
June | 104 | 31 | 4 | 14 | .298 | .397 | .500 | .897 | |
|
July | 91 | 20 | 10 | 18 | .220 | .305 | .593 | .898 | |
 |
April | 57 | 15 | 5 | 11 | .263 | .354 | .544 | .898 | |
 |
Last 15 Days | 42 | 11 | 4 | 7 | .262 | .327 | .571 | .898 | |
|
Last 30 Days | 60 | 21 | 0 | 6 | .350 | .414 | .483 | .898 | |
 |
May | 110 | 36 | 5 | 18 | .327 | .380 | .518 | .898 | |
|
September | 92 | 25 | 6 | 17 | .272 | .356 | .543 | .899 | |
|
May | 85 | 29 | 3 | 18 | .341 | .417 | .482 | .899 | |
|
June | 59 | 17 | 5 | 8 | .288 | .323 | .576 | .899 | |
|
May | 99 | 26 | 7 | 17 | .263 | .333 | .566 | .899 | |
|
June | 93 | 27 | 4 | 18 | .290 | .383 | .516 | .899 | |
|
September | 82 | 24 | 7 | 14 | .293 | .352 | .549 | .900 | |
|
August | 75 | 22 | 2 | 17 | .293 | .460 | .440 | .900 | |
|
April | 64 | 20 | 2 | 9 | .313 | .370 | .531 | .901 | |
|
July | 43 | 10 | 3 | 5 | .233 | .389 | .512 | .901 | |
|
Last 30 Days | 48 | 18 | 1 | 4 | .375 | .423 | .479 | .902 | |
|
April | 101 | 27 | 5 | 18 | .267 | .387 | .515 | .902 | |
|
June | 95 | 31 | 3 | 14 | .326 | .418 | .484 | .902 | |
|
March | 14 | 4 | 0 | 2 | .286 | .474 | .429 | .902 |
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.