MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
  |
20 | 7 | 3 | 5 | .350 | .409 | .850 | 1.259 | |
 |
95 | 34 | 6 | 24 | .358 | .483 | .684 | 1.168 | |
 |
106 | 44 | 6 | 21 | .415 | .508 | .651 | 1.159 | |
 |
52 | 19 | 5 | 13 | .365 | .431 | .712 | 1.143 | |
 |
44 | 13 | 5 | 10 | .295 | .373 | .727 | 1.100 | |
 |
26 | 12 | 0 | 4 | .462 | .481 | .577 | 1.058 | |
 |
15 | 5 | 1 | 3 | .333 | .389 | .667 | 1.056 | |
|
31 | 12 | 2 | 9 | .387 | .441 | .613 | 1.054 | |
 |
58 | 18 | 5 | 11 | .310 | .397 | .655 | 1.052 | |
|
67 | 19 | 8 | 15 | .284 | .351 | .657 | 1.008 | |
 |
14 | 6 | 0 | 1 | .429 | .429 | .571 | 1.000 | |
|
93 | 30 | 7 | 15 | .323 | .390 | .591 | .982 | |
 |
54 | 17 | 3 | 16 | .315 | .373 | .593 | .965 | |
 |
54 | 17 | 3 | 9 | .315 | .345 | .611 | .956 | |
 |
80 | 24 | 5 | 10 | .300 | .424 | .525 | .949 | |
 |
99 | 25 | 9 | 16 | .253 | .357 | .586 | .942 | |
|
20 | 6 | 1 | 4 | .300 | .440 | .500 | .940 | |
|
56 | 19 | 2 | 6 | .339 | .383 | .554 | .937 | |
|
30 | 9 | 2 | 5 | .300 | .333 | .600 | .933 | |
 |
76 | 27 | 3 | 8 | .355 | .390 | .539 | .930 | |
|
88 | 22 | 7 | 12 | .250 | .359 | .557 | .916 | |
 |
42 | 12 | 3 | 6 | .286 | .318 | .595 | .913 | |
|
84 | 22 | 7 | 14 | .262 | .354 | .560 | .913 | |
|
102 | 33 | 3 | 16 | .324 | .369 | .539 | .909 | |
  |
80 | 27 | 1 | 13 | .338 | .421 | .488 | .909 | |
|
101 | 25 | 8 | 20 | .248 | .361 | .545 | .906 | |
|
101 | 27 | 5 | 18 | .267 | .387 | .515 | .902 | |
 |
64 | 20 | 2 | 9 | .313 | .370 | .531 | .901 | |
|
57 | 15 | 5 | 11 | .263 | .354 | .544 | .898 | |
|
100 | 33 | 2 | 9 | .330 | .395 | .500 | .895 | |
|
77 | 22 | 7 | 13 | .286 | .321 | .571 | .892 | |
|
85 | 29 | 1 | 13 | .341 | .429 | .459 | .887 | |
|
63 | 19 | 4 | 6 | .302 | .362 | .524 | .886 | |
|
70 | 23 | 2 | 6 | .329 | .413 | .471 | .884 | |
|
11 | 3 | 0 | 2 | .273 | .429 | .455 | .883 | |
|
77 | 20 | 4 | 10 | .260 | .412 | .468 | .880 | |
|
30 | 11 | 0 | 3 | .367 | .513 | .367 | .879 | |
|
58 | 18 | 1 | 6 | .310 | .429 | .448 | .877 | |
|
98 | 33 | 2 | 14 | .337 | .387 | .490 | .877 | |
|
77 | 25 | 2 | 14 | .325 | .447 | .429 | .875 | |
|
95 | 29 | 4 | 16 | .305 | .374 | .495 | .869 | |
|
70 | 20 | 2 | 9 | .286 | .393 | .471 | .864 | |
 |
76 | 23 | 3 | 12 | .303 | .413 | .447 | .860 | |
|
101 | 26 | 7 | 14 | .257 | .324 | .535 | .859 | |
|
85 | 23 | 7 | 11 | .271 | .303 | .553 | .856 | |
|
78 | 21 | 4 | 12 | .269 | .374 | .474 | .848 | |
|
43 | 14 | 1 | 3 | .326 | .370 | .465 | .835 | |
|
106 | 37 | 1 | 11 | .349 | .391 | .443 | .835 | |
|
97 | 26 | 6 | 20 | .268 | .339 | .495 | .834 | |
 |
114 | 32 | 6 | 22 | .281 | .297 | .535 | .832 |
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.