MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
  |
35 | 9 | 0 | 7 | .257 | .350 | .400 | .750 | |
 |
58 | 17 | 1 | 7 | .293 | .328 | .414 | .742 | |
 |
86 | 22 | 2 | 6 | .256 | .333 | .407 | .740 | |
 |
93 | 24 | 4 | 10 | .258 | .289 | .452 | .740 | |
 |
82 | 18 | 5 | 13 | .220 | .323 | .415 | .738 | |
 |
103 | 26 | 3 | 10 | .252 | .319 | .417 | .736 | |
|
108 | 29 | 2 | 8 | .269 | .307 | .426 | .733 | |
|
100 | 22 | 5 | 7 | .220 | .322 | .410 | .732 | |
 |
66 | 21 | 0 | 8 | .318 | .338 | .394 | .732 | |
|
85 | 23 | 1 | 13 | .271 | .308 | .424 | .731 | |
 |
105 | 20 | 9 | 15 | .190 | .281 | .448 | .729 | |
|
90 | 21 | 4 | 14 | .233 | .296 | .433 | .729 | |
 |
28 | 7 | 1 | 6 | .250 | .300 | .429 | .729 | |
  |
107 | 26 | 1 | 13 | .243 | .372 | .355 | .727 | |
 |
106 | 26 | 2 | 13 | .245 | .328 | .396 | .724 | |
|
90 | 19 | 5 | 17 | .211 | .301 | .422 | .723 | |
|
96 | 21 | 5 | 12 | .219 | .299 | .417 | .716 | |
 |
69 | 20 | 1 | 9 | .290 | .338 | .377 | .715 | |
|
64 | 14 | 4 | 18 | .219 | .261 | .453 | .714 | |
|
46 | 13 | 1 | 3 | .283 | .298 | .413 | .711 | |
|
25 | 6 | 0 | 5 | .240 | .310 | .400 | .710 | |
|
86 | 21 | 2 | 6 | .244 | .301 | .407 | .708 | |
 |
60 | 16 | 1 | 5 | .267 | .357 | .350 | .707 | |
 |
45 | 10 | 1 | 5 | .222 | .352 | .356 | .707 | |
|
112 | 36 | 0 | 6 | .321 | .339 | .366 | .705 | |
 |
67 | 17 | 2 | 5 | .254 | .271 | .433 | .704 | |
 |
84 | 20 | 2 | 6 | .238 | .286 | .417 | .702 | |
|
73 | 17 | 2 | 6 | .233 | .300 | .397 | .697 | |
 |
112 | 28 | 4 | 19 | .250 | .320 | .375 | .695 | |
|
108 | 25 | 5 | 8 | .231 | .297 | .398 | .695 | |
|
107 | 29 | 2 | 8 | .271 | .339 | .355 | .694 | |
|
75 | 19 | 2 | 8 | .253 | .278 | .413 | .692 | |
|
57 | 14 | 1 | 6 | .246 | .306 | .386 | .692 | |
|
87 | 21 | 3 | 12 | .241 | .289 | .402 | .691 | |
|
28 | 8 | 0 | 2 | .286 | .333 | .357 | .690 | |
 |
79 | 17 | 3 | 9 | .215 | .295 | .392 | .688 | |
|
95 | 23 | 2 | 8 | .242 | .333 | .347 | .681 | |
|
113 | 24 | 5 | 13 | .212 | .282 | .398 | .680 | |
|
55 | 11 | 4 | 5 | .200 | .241 | .436 | .678 | |
|
46 | 12 | 0 | 6 | .261 | .308 | .370 | .677 | |
|
90 | 23 | 3 | 11 | .256 | .287 | .389 | .676 | |
 |
82 | 16 | 3 | 9 | .195 | .333 | .341 | .675 | |
|
97 | 22 | 3 | 13 | .227 | .333 | .340 | .674 | |
|
89 | 22 | 2 | 14 | .247 | .244 | .427 | .671 | |
|
84 | 18 | 1 | 7 | .214 | .359 | .310 | .669 | |
|
64 | 13 | 2 | 12 | .203 | .325 | .344 | .668 | |
|
12 | 3 | 0 | 3 | .250 | .333 | .333 | .667 | |
|
94 | 26 | 0 | 7 | .277 | .313 | .351 | .664 | |
|
90 | 24 | 2 | 12 | .267 | .305 | .356 | .661 | |
|
97 | 18 | 6 | 18 | .186 | .259 | .402 | .661 |
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.