MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
 |
84 | 20 | 3 | 16 | .238 | .327 | .381 | .708 | |
 |
24 | 8 | 0 | 2 | .333 | .333 | .375 | .708 | |
 |
92 | 17 | 4 | 12 | .185 | .348 | .359 | .707 | |
 |
84 | 20 | 2 | 12 | .238 | .312 | .393 | .705 | |
 |
107 | 29 | 1 | 11 | .271 | .331 | .374 | .704 | |
 |
29 | 7 | 1 | 3 | .241 | .324 | .379 | .703 | |
|
105 | 27 | 3 | 16 | .257 | .331 | .371 | .702 | |
|
67 | 15 | 3 | 10 | .224 | .297 | .403 | .700 | |
|
91 | 19 | 4 | 9 | .209 | .301 | .396 | .697 | |
  |
45 | 9 | 3 | 6 | .200 | .229 | .467 | .696 | |
|
103 | 26 | 4 | 14 | .252 | .297 | .398 | .695 | |
|
39 | 11 | 1 | 4 | .282 | .333 | .359 | .692 | |
|
42 | 8 | 1 | 7 | .190 | .382 | .310 | .691 | |
|
14 | 4 | 0 | 1 | .286 | .333 | .357 | .690 | |
|
68 | 20 | 0 | 6 | .294 | .351 | .338 | .690 | |
 |
89 | 22 | 4 | 6 | .247 | .272 | .416 | .687 | |
|
92 | 27 | 1 | 6 | .293 | .316 | .370 | .685 | |
|
90 | 24 | 1 | 13 | .267 | .340 | .344 | .684 | |
 |
65 | 13 | 4 | 6 | .200 | .268 | .415 | .683 | |
  |
70 | 18 | 2 | 13 | .257 | .312 | .371 | .683 | |
 |
92 | 21 | 3 | 5 | .228 | .268 | .413 | .681 | |
|
83 | 21 | 2 | 7 | .253 | .319 | .361 | .681 | |
 |
101 | 25 | 3 | 12 | .248 | .304 | .376 | .680 | |
 |
96 | 21 | 5 | 19 | .219 | .260 | .417 | .676 | |
|
84 | 18 | 3 | 14 | .214 | .258 | .417 | .675 | |
 |
40 | 12 | 0 | 3 | .300 | .349 | .325 | .674 | |
 |
90 | 24 | 0 | 7 | .267 | .323 | .344 | .668 | |
 |
32 | 7 | 1 | 5 | .219 | .324 | .344 | .668 | |
 |
62 | 14 | 3 | 4 | .226 | .294 | .371 | .665 | |
|
75 | 17 | 3 | 13 | .227 | .263 | .400 | .663 | |
|
104 | 25 | 2 | 7 | .240 | .316 | .346 | .662 | |
|
50 | 13 | 1 | 7 | .260 | .302 | .360 | .662 | |
|
87 | 19 | 2 | 10 | .218 | .317 | .345 | .662 | |
|
52 | 13 | 1 | 7 | .250 | .278 | .385 | .662 | |
|
33 | 7 | 0 | 5 | .212 | .297 | .364 | .661 | |
|
71 | 18 | 1 | 5 | .254 | .321 | .338 | .659 | |
|
26 | 7 | 0 | 1 | .269 | .387 | .269 | .656 | |
 |
73 | 14 | 2 | 7 | .192 | .272 | .384 | .655 | |
|
89 | 25 | 0 | 10 | .281 | .333 | .315 | .648 | |
|
63 | 16 | 1 | 7 | .254 | .266 | .381 | .647 | |
|
104 | 21 | 3 | 11 | .202 | .297 | .346 | .643 | |
|
95 | 23 | 1 | 8 | .242 | .284 | .358 | .642 | |
|
89 | 21 | 1 | 6 | .236 | .303 | .337 | .640 | |
|
70 | 17 | 2 | 7 | .243 | .254 | .386 | .639 | |
|
82 | 17 | 2 | 8 | .207 | .298 | .341 | .639 | |
|
62 | 14 | 1 | 7 | .226 | .314 | .323 | .637 | |
|
35 | 7 | 1 | 3 | .200 | .263 | .371 | .635 | |
|
53 | 11 | 1 | 7 | .208 | .276 | .358 | .634 | |
|
105 | 23 | 2 | 14 | .219 | .308 | .324 | .632 | |
|
37 | 10 | 0 | 3 | .270 | .308 | .324 | .632 |
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.