MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
 |
84 | 22 | 3 | 8 | .262 | .326 | .417 | .743 | |
 |
37 | 9 | 1 | 3 | .243 | .364 | .378 | .742 | |
 |
96 | 26 | 4 | 15 | .271 | .294 | .448 | .742 | |
 |
93 | 19 | 4 | 19 | .204 | .312 | .430 | .742 | |
 |
54 | 12 | 3 | 7 | .222 | .333 | .407 | .741 | |
  |
98 | 27 | 2 | 12 | .276 | .330 | .408 | .738 | |
|
104 | 26 | 4 | 16 | .250 | .295 | .442 | .737 | |
 |
51 | 16 | 0 | 5 | .314 | .364 | .373 | .736 | |
|
58 | 15 | 1 | 6 | .259 | .368 | .362 | .730 | |
 |
98 | 26 | 2 | 12 | .265 | .321 | .408 | .729 | |
 |
88 | 20 | 4 | 10 | .227 | .263 | .466 | .729 | |
 |
97 | 23 | 5 | 15 | .237 | .292 | .433 | .725 | |
|
101 | 26 | 2 | 15 | .257 | .319 | .406 | .725 | |
|
80 | 22 | 1 | 6 | .275 | .348 | .375 | .723 | |
 |
49 | 12 | 2 | 5 | .245 | .275 | .449 | .723 | |
|
98 | 23 | 4 | 11 | .235 | .333 | .388 | .721 | |
 |
104 | 25 | 3 | 15 | .240 | .344 | .375 | .719 | |
|
69 | 17 | 3 | 8 | .246 | .278 | .435 | .713 | |
|
85 | 16 | 4 | 11 | .188 | .360 | .353 | .713 | |
 |
107 | 25 | 3 | 10 | .234 | .311 | .402 | .713 | |
|
100 | 26 | 3 | 10 | .260 | .299 | .410 | .709 | |
|
118 | 34 | 1 | 11 | .288 | .317 | .390 | .707 | |
|
83 | 25 | 1 | 12 | .301 | .333 | .373 | .707 | |
|
98 | 23 | 2 | 9 | .235 | .370 | .337 | .706 | |
|
114 | 33 | 1 | 10 | .289 | .320 | .386 | .706 | |
 |
50 | 10 | 3 | 8 | .200 | .281 | .420 | .701 | |
|
32 | 9 | 0 | 10 | .281 | .294 | .406 | .700 | |
 |
99 | 30 | 0 | 16 | .303 | .337 | .364 | .700 | |
 |
43 | 11 | 1 | 6 | .256 | .347 | .349 | .696 | |
 |
83 | 19 | 2 | 6 | .229 | .340 | .349 | .690 | |
|
65 | 16 | 1 | 17 | .246 | .288 | .400 | .688 | |
 |
86 | 21 | 1 | 5 | .244 | .323 | .360 | .684 | |
|
92 | 22 | 2 | 9 | .239 | .314 | .370 | .683 | |
 |
93 | 25 | 2 | 10 | .269 | .306 | .376 | .682 | |
|
57 | 14 | 1 | 8 | .246 | .295 | .386 | .681 | |
|
36 | 11 | 0 | 3 | .306 | .375 | .306 | .681 | |
|
88 | 19 | 4 | 11 | .216 | .311 | .364 | .675 | |
|
47 | 11 | 0 | 5 | .234 | .333 | .340 | .674 | |
|
89 | 20 | 3 | 13 | .225 | .255 | .416 | .671 | |
|
61 | 14 | 3 | 10 | .230 | .262 | .410 | .671 | |
|
88 | 18 | 3 | 11 | .205 | .290 | .375 | .665 | |
  |
82 | 17 | 3 | 8 | .207 | .298 | .366 | .664 | |
|
50 | 11 | 2 | 4 | .220 | .264 | .400 | .664 | |
|
72 | 16 | 3 | 15 | .222 | .300 | .361 | .661 | |
|
93 | 19 | 2 | 8 | .204 | .295 | .366 | .661 | |
|
91 | 20 | 3 | 10 | .220 | .308 | .352 | .659 | |
|
80 | 18 | 4 | 12 | .225 | .284 | .375 | .659 | |
|
40 | 8 | 1 | 5 | .200 | .333 | .325 | .658 | |
|
90 | 23 | 3 | 10 | .256 | .269 | .389 | .658 | |
|
113 | 27 | 3 | 8 | .239 | .295 | .363 | .658 |
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.