MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
 |
99 | 36 | 11 | 18 | .364 | .453 | .798 | 1.251 | |
 |
92 | 28 | 12 | 26 | .304 | .430 | .739 | 1.169 | |
 |
12 | 3 | 2 | 3 | .250 | .400 | .750 | 1.150 | |
 |
101 | 39 | 5 | 14 | .386 | .451 | .634 | 1.085 | |
 |
104 | 37 | 7 | 33 | .356 | .468 | .606 | 1.074 | |
  |
46 | 16 | 3 | 5 | .348 | .423 | .630 | 1.054 | |
 |
106 | 35 | 7 | 23 | .330 | .410 | .604 | 1.014 | |
|
95 | 33 | 6 | 18 | .347 | .407 | .600 | 1.007 | |
 |
10 | 2 | 2 | 2 | .200 | .200 | .800 | 1.000 | |
 |
96 | 35 | 4 | 10 | .365 | .450 | .542 | .992 | |
|
39 | 13 | 3 | 6 | .333 | .366 | .615 | .981 | |
 |
106 | 39 | 4 | 16 | .368 | .437 | .538 | .975 | |
  |
13 | 4 | 1 | 1 | .308 | .357 | .615 | .973 | |
|
38 | 14 | 1 | 9 | .368 | .415 | .553 | .967 | |
 |
93 | 32 | 3 | 8 | .344 | .451 | .505 | .957 | |
|
97 | 33 | 4 | 12 | .340 | .418 | .536 | .954 | |
 |
54 | 18 | 3 | 6 | .333 | .379 | .574 | .953 | |
|
54 | 15 | 5 | 14 | .278 | .339 | .611 | .950 | |
 |
106 | 37 | 3 | 15 | .349 | .412 | .528 | .940 | |
 |
106 | 27 | 10 | 28 | .255 | .317 | .623 | .939 | |
 |
53 | 17 | 3 | 5 | .321 | .390 | .547 | .937 | |
|
20 | 5 | 2 | 6 | .250 | .385 | .550 | .935 | |
|
59 | 19 | 2 | 8 | .322 | .406 | .508 | .914 | |
|
96 | 27 | 7 | 16 | .281 | .349 | .563 | .912 | |
|
92 | 29 | 4 | 15 | .315 | .382 | .522 | .904 | |
|
75 | 19 | 6 | 15 | .253 | .329 | .573 | .903 | |
|
96 | 29 | 5 | 16 | .302 | .370 | .531 | .902 | |
|
85 | 29 | 3 | 18 | .341 | .417 | .482 | .899 | |
|
99 | 26 | 7 | 17 | .263 | .333 | .566 | .899 | |
 |
110 | 36 | 5 | 18 | .327 | .380 | .518 | .898 | |
|
102 | 28 | 7 | 24 | .275 | .345 | .549 | .894 | |
|
91 | 25 | 8 | 22 | .275 | .320 | .571 | .891 | |
|
92 | 26 | 4 | 13 | .283 | .389 | .500 | .889 | |
 |
89 | 26 | 4 | 12 | .292 | .370 | .517 | .887 | |
|
98 | 32 | 3 | 11 | .327 | .389 | .490 | .879 | |
|
96 | 26 | 6 | 22 | .271 | .345 | .531 | .877 | |
|
67 | 21 | 4 | 10 | .313 | .352 | .522 | .875 | |
|
60 | 17 | 3 | 5 | .283 | .386 | .483 | .869 | |
|
103 | 30 | 5 | 12 | .291 | .413 | .456 | .869 | |
|
31 | 10 | 1 | 2 | .323 | .382 | .484 | .866 | |
 |
12 | 4 | 0 | 0 | .333 | .529 | .333 | .863 | |
|
95 | 27 | 5 | 10 | .284 | .364 | .495 | .859 | |
|
12 | 4 | 0 | 1 | .333 | .357 | .500 | .857 | |
|
68 | 18 | 4 | 12 | .265 | .369 | .485 | .854 | |
|
98 | 27 | 7 | 24 | .276 | .291 | .561 | .852 | |
|
70 | 17 | 5 | 12 | .243 | .337 | .514 | .852 | |
|
103 | 27 | 7 | 18 | .262 | .347 | .505 | .852 | |
|
67 | 20 | 3 | 14 | .299 | .390 | .463 | .852 | |
|
94 | 26 | 4 | 12 | .277 | .415 | .436 | .851 | |
|
60 | 19 | 2 | 5 | .317 | .333 | .517 | .850 |
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.