MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
 |
85 | 17 | 7 | 18 | .200 | .220 | .529 | .749 | |
 |
77 | 21 | 1 | 10 | .273 | .345 | .403 | .747 | |
 |
103 | 27 | 5 | 8 | .262 | .306 | .437 | .743 | |
 |
84 | 17 | 4 | 10 | .202 | .323 | .417 | .740 | |
|
74 | 17 | 3 | 10 | .230 | .293 | .446 | .739 | |
 |
109 | 24 | 6 | 16 | .220 | .298 | .440 | .738 | |
 |
115 | 29 | 3 | 6 | .252 | .301 | .435 | .736 | |
 |
70 | 17 | 4 | 9 | .243 | .264 | .471 | .735 | |
|
89 | 26 | 2 | 9 | .292 | .308 | .427 | .735 | |
|
101 | 24 | 4 | 20 | .238 | .316 | .416 | .732 | |
  |
110 | 33 | 2 | 14 | .300 | .322 | .409 | .731 | |
|
31 | 8 | 1 | 4 | .258 | .343 | .387 | .730 | |
 |
101 | 25 | 3 | 8 | .248 | .350 | .376 | .727 | |
|
19 | 3 | 2 | 3 | .158 | .200 | .526 | .726 | |
|
100 | 27 | 2 | 9 | .270 | .336 | .390 | .726 | |
  |
100 | 27 | 3 | 8 | .270 | .305 | .420 | .725 | |
 |
88 | 25 | 2 | 11 | .284 | .330 | .386 | .716 | |
|
94 | 23 | 2 | 8 | .245 | .355 | .362 | .716 | |
|
68 | 14 | 4 | 15 | .206 | .288 | .426 | .714 | |
 |
94 | 28 | 0 | 7 | .298 | .320 | .394 | .714 | |
 |
67 | 17 | 1 | 12 | .254 | .278 | .433 | .711 | |
|
91 | 22 | 1 | 14 | .242 | .308 | .396 | .703 | |
 |
108 | 26 | 3 | 11 | .241 | .322 | .380 | .702 | |
|
19 | 6 | 0 | 1 | .316 | .333 | .368 | .702 | |
|
54 | 13 | 1 | 5 | .241 | .293 | .407 | .701 | |
|
95 | 22 | 2 | 5 | .232 | .330 | .368 | .699 | |
|
90 | 21 | 4 | 12 | .233 | .297 | .400 | .697 | |
|
98 | 27 | 1 | 4 | .276 | .349 | .347 | .696 | |
 |
94 | 25 | 1 | 8 | .266 | .343 | .351 | .694 | |
 |
73 | 18 | 0 | 8 | .247 | .337 | .356 | .694 | |
|
107 | 25 | 4 | 15 | .234 | .282 | .411 | .693 | |
|
87 | 22 | 1 | 4 | .253 | .371 | .322 | .693 | |
 |
79 | 20 | 1 | 6 | .253 | .337 | .354 | .692 | |
|
28 | 8 | 0 | 1 | .286 | .333 | .357 | .690 | |
|
48 | 8 | 2 | 5 | .167 | .355 | .333 | .688 | |
|
46 | 11 | 1 | 6 | .239 | .250 | .435 | .685 | |
|
98 | 22 | 5 | 21 | .224 | .267 | .418 | .685 | |
|
38 | 9 | 1 | 5 | .237 | .341 | .342 | .683 | |
 |
106 | 29 | 0 | 11 | .274 | .304 | .377 | .681 | |
|
61 | 11 | 4 | 7 | .180 | .254 | .426 | .680 | |
|
21 | 4 | 1 | 3 | .190 | .346 | .333 | .679 | |
|
88 | 25 | 1 | 10 | .284 | .304 | .375 | .679 | |
|
113 | 30 | 2 | 17 | .265 | .282 | .389 | .671 | |
 |
65 | 11 | 3 | 6 | .169 | .286 | .385 | .670 | |
|
49 | 11 | 1 | 3 | .224 | .296 | .367 | .664 | |
 |
24 | 5 | 0 | 2 | .208 | .286 | .375 | .661 | |
|
54 | 9 | 3 | 9 | .167 | .308 | .352 | .660 | |
|
47 | 12 | 1 | 5 | .255 | .314 | .340 | .654 | |
|
118 | 28 | 3 | 10 | .237 | .280 | .373 | .653 | |
|
102 | 21 | 3 | 10 | .206 | .289 | .363 | .652 |
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.