MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
 |
50 | 15 | 6 | 12 | .300 | .364 | .760 | 1.124 | |
|
79 | 27 | 7 | 17 | .342 | .373 | .734 | 1.108 | |
 |
100 | 30 | 11 | 27 | .300 | .398 | .690 | 1.088 | |
 |
96 | 33 | 7 | 17 | .344 | .427 | .656 | 1.084 | |
|
92 | 29 | 11 | 27 | .315 | .354 | .728 | 1.082 | |
 |
100 | 40 | 5 | 13 | .400 | .469 | .610 | 1.079 | |
 |
48 | 17 | 4 | 18 | .354 | .415 | .646 | 1.061 | |
 |
13 | 4 | 0 | 3 | .308 | .357 | .692 | 1.049 | |
  |
31 | 10 | 2 | 3 | .323 | .400 | .645 | 1.045 | |
 |
92 | 27 | 11 | 19 | .293 | .375 | .663 | 1.038 | |
|
100 | 36 | 6 | 23 | .360 | .404 | .630 | 1.034 | |
 |
88 | 28 | 7 | 19 | .318 | .378 | .614 | .991 | |
 |
95 | 32 | 7 | 18 | .337 | .385 | .600 | .985 | |
|
75 | 28 | 1 | 8 | .373 | .478 | .507 | .985 | |
|
95 | 24 | 9 | 17 | .253 | .388 | .579 | .967 | |
 |
60 | 20 | 4 | 12 | .333 | .412 | .550 | .962 | |
 |
66 | 22 | 3 | 8 | .333 | .421 | .530 | .951 | |
|
29 | 8 | 2 | 4 | .276 | .364 | .586 | .950 | |
  |
77 | 24 | 4 | 16 | .312 | .400 | .545 | .945 | |
|
78 | 22 | 5 | 16 | .282 | .337 | .603 | .940 | |
|
87 | 29 | 4 | 21 | .333 | .396 | .540 | .936 | |
 |
72 | 19 | 7 | 17 | .264 | .329 | .597 | .926 | |
 |
13 | 3 | 1 | 4 | .231 | .231 | .692 | .923 | |
|
105 | 31 | 7 | 22 | .295 | .368 | .552 | .920 | |
 |
97 | 35 | 2 | 10 | .361 | .404 | .515 | .919 | |
 |
89 | 30 | 4 | 17 | .337 | .385 | .528 | .914 | |
|
95 | 31 | 3 | 14 | .326 | .418 | .484 | .902 | |
|
93 | 27 | 4 | 18 | .290 | .383 | .516 | .899 | |
|
59 | 17 | 5 | 8 | .288 | .323 | .576 | .899 | |
 |
93 | 25 | 6 | 20 | .269 | .391 | .505 | .897 | |
|
104 | 31 | 4 | 14 | .298 | .397 | .500 | .897 | |
|
78 | 25 | 2 | 6 | .321 | .353 | .538 | .891 | |
|
34 | 12 | 1 | 4 | .353 | .361 | .529 | .891 | |
|
55 | 17 | 3 | 5 | .309 | .381 | .509 | .890 | |
|
100 | 34 | 3 | 14 | .340 | .407 | .480 | .887 | |
|
38 | 10 | 3 | 10 | .263 | .333 | .553 | .886 | |
|
104 | 31 | 6 | 14 | .298 | .360 | .519 | .879 | |
|
81 | 20 | 6 | 14 | .247 | .367 | .506 | .874 | |
|
107 | 33 | 4 | 12 | .308 | .368 | .505 | .872 | |
|
90 | 28 | 3 | 9 | .311 | .380 | .489 | .869 | |
|
97 | 29 | 4 | 16 | .299 | .386 | .474 | .860 | |
|
80 | 20 | 6 | 14 | .250 | .310 | .550 | .860 | |
|
98 | 24 | 8 | 16 | .245 | .327 | .531 | .858 | |
|
98 | 27 | 5 | 15 | .276 | .324 | .531 | .854 | |
|
96 | 29 | 4 | 11 | .302 | .343 | .510 | .854 | |
|
102 | 30 | 3 | 14 | .294 | .383 | .471 | .854 | |
|
99 | 35 | 1 | 5 | .354 | .398 | .455 | .853 | |
|
74 | 23 | 3 | 16 | .311 | .366 | .486 | .852 | |
|
44 | 11 | 3 | 8 | .250 | .327 | .523 | .849 | |
|
89 | 27 | 4 | 16 | .303 | .354 | .494 | .849 |
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.