MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
 |
88 | 21 | 4 | 10 | .239 | .309 | .432 | .741 | |
  |
87 | 23 | 3 | 8 | .264 | .347 | .391 | .738 | |
 |
81 | 20 | 2 | 5 | .247 | .365 | .370 | .735 | |
 |
66 | 18 | 3 | 8 | .273 | .290 | .439 | .729 | |
 |
49 | 10 | 3 | 4 | .204 | .278 | .449 | .727 | |
|
66 | 16 | 2 | 7 | .242 | .329 | .394 | .723 | |
 |
87 | 24 | 2 | 15 | .276 | .284 | .437 | .721 | |
 |
32 | 8 | 1 | 4 | .250 | .314 | .406 | .721 | |
|
82 | 24 | 1 | 9 | .293 | .356 | .366 | .721 | |
|
74 | 21 | 1 | 5 | .284 | .338 | .378 | .716 | |
 |
82 | 15 | 6 | 17 | .183 | .313 | .402 | .716 | |
|
69 | 18 | 1 | 6 | .261 | .338 | .377 | .714 | |
|
54 | 13 | 1 | 6 | .241 | .288 | .426 | .714 | |
 |
77 | 17 | 3 | 7 | .221 | .310 | .403 | .713 | |
 |
57 | 10 | 2 | 5 | .175 | .342 | .368 | .711 | |
|
65 | 14 | 4 | 10 | .215 | .261 | .446 | .707 | |
 |
23 | 4 | 2 | 4 | .174 | .269 | .435 | .704 | |
 |
76 | 19 | 3 | 10 | .250 | .321 | .382 | .703 | |
|
59 | 14 | 2 | 8 | .237 | .328 | .373 | .701 | |
 |
100 | 19 | 7 | 13 | .190 | .250 | .450 | .700 | |
 |
69 | 14 | 4 | 16 | .203 | .278 | .420 | .699 | |
|
111 | 31 | 1 | 13 | .279 | .339 | .360 | .699 | |
|
84 | 20 | 2 | 10 | .238 | .316 | .381 | .697 | |
 |
69 | 16 | 3 | 9 | .232 | .291 | .406 | .697 | |
 |
72 | 15 | 5 | 11 | .208 | .247 | .444 | .691 | |
|
94 | 22 | 3 | 15 | .234 | .339 | .351 | .690 | |
|
71 | 14 | 3 | 13 | .197 | .293 | .394 | .687 | |
|
83 | 20 | 4 | 14 | .241 | .264 | .422 | .686 | |
|
66 | 11 | 3 | 9 | .167 | .337 | .348 | .686 | |
 |
25 | 5 | 1 | 5 | .200 | .286 | .400 | .686 | |
|
19 | 5 | 1 | 3 | .263 | .263 | .421 | .684 | |
|
78 | 17 | 3 | 12 | .218 | .295 | .385 | .680 | |
|
36 | 7 | 1 | 2 | .194 | .318 | .361 | .679 | |
|
92 | 20 | 3 | 9 | .217 | .308 | .370 | .677 | |
  |
87 | 18 | 6 | 16 | .207 | .250 | .425 | .675 | |
|
91 | 28 | 0 | 4 | .308 | .323 | .352 | .674 | |
|
87 | 21 | 1 | 7 | .241 | .350 | .322 | .671 | |
|
76 | 18 | 2 | 10 | .237 | .302 | .368 | .671 | |
|
100 | 24 | 2 | 6 | .240 | .290 | .380 | .670 | |
|
70 | 17 | 0 | 4 | .243 | .325 | .343 | .668 | |
|
90 | 19 | 3 | 10 | .211 | .290 | .378 | .668 | |
|
64 | 17 | 0 | 7 | .266 | .355 | .313 | .668 | |
|
15 | 3 | 1 | 4 | .200 | .200 | .467 | .667 | |
|
47 | 12 | 0 | 8 | .255 | .327 | .340 | .667 | |
|
63 | 13 | 4 | 12 | .206 | .239 | .429 | .667 | |
|
15 | 3 | 1 | 4 | .200 | .200 | .467 | .667 | |
|
52 | 13 | 1 | 11 | .250 | .281 | .385 | .665 | |
|
72 | 17 | 2 | 10 | .236 | .273 | .389 | .662 | |
|
80 | 18 | 3 | 8 | .225 | .279 | .375 | .654 | |
|
76 | 17 | 2 | 11 | .224 | .298 | .355 | .653 |
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.