MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
  |
11 | 5 | 1 | 3 | .455 | .500 | 1.091 | 1.591 | |
 |
86 | 34 | 11 | 27 | .395 | .480 | .953 | 1.433 | |
 |
11 | 6 | 1 | 5 | .545 | .583 | .818 | 1.402 | |
 |
52 | 19 | 5 | 21 | .365 | .426 | .731 | 1.157 | |
 |
27 | 13 | 0 | 2 | .481 | .500 | .630 | 1.130 | |
 |
26 | 10 | 1 | 6 | .385 | .484 | .615 | 1.099 | |
|
89 | 30 | 9 | 21 | .337 | .379 | .719 | 1.098 | |
 |
89 | 30 | 7 | 21 | .337 | .422 | .674 | 1.096 | |
|
89 | 33 | 7 | 17 | .371 | .451 | .640 | 1.091 | |
 |
58 | 22 | 5 | 11 | .379 | .383 | .707 | 1.090 | |
 |
66 | 19 | 7 | 18 | .288 | .407 | .682 | 1.089 | |
 |
66 | 24 | 5 | 14 | .364 | .403 | .682 | 1.085 | |
 |
91 | 33 | 5 | 21 | .363 | .429 | .626 | 1.055 | |
 |
52 | 18 | 3 | 9 | .346 | .417 | .635 | 1.051 | |
|
89 | 29 | 5 | 15 | .326 | .444 | .596 | 1.040 | |
|
53 | 21 | 3 | 8 | .396 | .448 | .585 | 1.033 | |
|
90 | 33 | 4 | 17 | .367 | .408 | .600 | 1.008 | |
|
99 | 32 | 8 | 20 | .323 | .350 | .657 | 1.006 | |
  |
99 | 33 | 7 | 24 | .333 | .387 | .616 | 1.004 | |
|
30 | 11 | 2 | 5 | .367 | .424 | .567 | .991 | |
|
74 | 21 | 8 | 20 | .284 | .346 | .635 | .981 | |
 |
97 | 26 | 11 | 16 | .268 | .333 | .639 | .973 | |
|
21 | 7 | 0 | 1 | .333 | .440 | .524 | .964 | |
 |
42 | 11 | 4 | 8 | .262 | .360 | .595 | .955 | |
 |
98 | 26 | 8 | 18 | .265 | .371 | .582 | .952 | |
|
62 | 18 | 5 | 11 | .290 | .371 | .581 | .952 | |
|
82 | 24 | 7 | 13 | .293 | .330 | .622 | .951 | |
|
30 | 9 | 1 | 4 | .300 | .417 | .533 | .950 | |
|
96 | 32 | 3 | 13 | .333 | .443 | .500 | .943 | |
|
61 | 18 | 5 | 14 | .295 | .362 | .574 | .936 | |
 |
54 | 14 | 5 | 11 | .259 | .339 | .593 | .931 | |
|
88 | 30 | 5 | 12 | .341 | .370 | .557 | .926 | |
|
12 | 4 | 1 | 4 | .333 | .333 | .583 | .917 | |
|
47 | 14 | 1 | 2 | .298 | .340 | .574 | .914 | |
|
91 | 28 | 2 | 7 | .308 | .438 | .473 | .910 | |
|
43 | 10 | 3 | 5 | .233 | .389 | .512 | .901 | |
 |
91 | 20 | 10 | 18 | .220 | .305 | .593 | .898 | |
|
93 | 23 | 6 | 16 | .247 | .400 | .495 | .895 | |
|
95 | 27 | 6 | 24 | .284 | .327 | .568 | .895 | |
|
90 | 24 | 6 | 18 | .267 | .337 | .556 | .892 | |
|
92 | 25 | 6 | 17 | .272 | .337 | .554 | .891 | |
|
49 | 15 | 3 | 7 | .306 | .333 | .551 | .884 | |
|
90 | 28 | 2 | 14 | .311 | .370 | .511 | .881 | |
|
22 | 7 | 1 | 3 | .318 | .333 | .545 | .879 | |
|
30 | 7 | 2 | 5 | .233 | .378 | .500 | .878 | |
|
31 | 8 | 2 | 5 | .258 | .361 | .516 | .877 | |
|
18 | 5 | 1 | 3 | .278 | .316 | .556 | .871 | |
|
69 | 20 | 3 | 10 | .290 | .346 | .522 | .868 | |
|
100 | 28 | 5 | 21 | .280 | .365 | .500 | .865 | |
|
88 | 26 | 5 | 19 | .295 | .351 | .511 | .862 |
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.