MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
 |
62 | 21 | 9 | 23 | .339 | .431 | .823 | 1.253 | |
  |
51 | 21 | 3 | 8 | .412 | .464 | .745 | 1.209 | |
 |
56 | 20 | 6 | 11 | .357 | .438 | .714 | 1.152 | |
 |
21 | 9 | 1 | 6 | .429 | .478 | .619 | 1.097 | |
 |
108 | 37 | 10 | 24 | .343 | .398 | .694 | 1.093 | |
|
49 | 16 | 5 | 16 | .327 | .377 | .673 | 1.051 | |
|
65 | 24 | 3 | 13 | .369 | .431 | .600 | 1.031 | |
 |
93 | 32 | 7 | 22 | .344 | .382 | .645 | 1.028 | |
 |
82 | 27 | 4 | 11 | .329 | .471 | .537 | 1.008 | |
 |
14 | 4 | 1 | 3 | .286 | .500 | .500 | 1.000 | |
 |
103 | 30 | 9 | 20 | .291 | .397 | .592 | .989 | |
|
111 | 36 | 7 | 23 | .324 | .414 | .559 | .973 | |
|
109 | 31 | 11 | 22 | .284 | .307 | .661 | .968 | |
|
45 | 16 | 2 | 9 | .356 | .420 | .533 | .953 | |
|
94 | 27 | 5 | 14 | .287 | .424 | .521 | .945 | |
|
97 | 32 | 4 | 17 | .330 | .398 | .546 | .945 | |
 |
103 | 27 | 12 | 23 | .262 | .313 | .631 | .944 | |
 |
109 | 35 | 7 | 22 | .321 | .357 | .587 | .944 | |
 |
106 | 35 | 5 | 16 | .330 | .405 | .538 | .943 | |
|
70 | 20 | 6 | 15 | .286 | .342 | .600 | .942 | |
|
105 | 32 | 7 | 23 | .305 | .354 | .581 | .935 | |
  |
19 | 7 | 1 | 4 | .368 | .350 | .579 | .929 | |
|
33 | 11 | 2 | 10 | .333 | .353 | .576 | .929 | |
 |
105 | 31 | 4 | 17 | .295 | .383 | .543 | .926 | |
|
72 | 18 | 7 | 22 | .250 | .329 | .597 | .926 | |
 |
120 | 36 | 9 | 29 | .300 | .333 | .592 | .925 | |
|
18 | 6 | 1 | 5 | .333 | .368 | .556 | .924 | |
|
83 | 20 | 6 | 12 | .241 | .417 | .506 | .923 | |
|
122 | 34 | 9 | 24 | .279 | .371 | .549 | .921 | |
|
26 | 8 | 1 | 3 | .308 | .379 | .538 | .918 | |
|
44 | 14 | 1 | 5 | .318 | .434 | .477 | .911 | |
|
92 | 26 | 6 | 16 | .283 | .362 | .543 | .905 | |
|
103 | 25 | 10 | 17 | .243 | .371 | .534 | .905 | |
|
75 | 22 | 2 | 17 | .293 | .460 | .440 | .900 | |
|
92 | 29 | 2 | 8 | .315 | .417 | .467 | .884 | |
 |
18 | 5 | 1 | 1 | .278 | .381 | .500 | .881 | |
|
102 | 26 | 7 | 15 | .255 | .361 | .520 | .881 | |
|
94 | 26 | 6 | 12 | .277 | .364 | .511 | .875 | |
 |
106 | 25 | 9 | 19 | .236 | .305 | .566 | .871 | |
|
50 | 14 | 4 | 12 | .280 | .309 | .560 | .869 | |
|
86 | 23 | 7 | 17 | .267 | .319 | .547 | .866 | |
 |
101 | 30 | 5 | 14 | .297 | .330 | .535 | .865 | |
|
27 | 8 | 0 | 4 | .296 | .345 | .519 | .863 | |
|
92 | 20 | 8 | 18 | .217 | .339 | .522 | .861 | |
|
107 | 31 | 5 | 18 | .290 | .374 | .486 | .860 | |
|
67 | 17 | 2 | 16 | .254 | .419 | .433 | .851 | |
|
108 | 25 | 10 | 29 | .231 | .294 | .556 | .850 | |
|
87 | 25 | 4 | 10 | .287 | .360 | .483 | .843 | |
|
19 | 7 | 0 | 2 | .368 | .368 | .474 | .842 | |
|
86 | 22 | 6 | 17 | .256 | .305 | .535 | .840 |
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.