MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▲ |
|---|---|---|---|---|---|---|---|---|---|
 |
102 | 25 | 3 | 15 | .245 | .333 | .431 | .765 | |
 |
104 | 29 | 3 | 12 | .279 | .333 | .433 | .766 | |
 |
37 | 9 | 2 | 8 | .243 | .333 | .432 | .766 | |
 |
75 | 21 | 2 | 7 | .280 | .316 | .453 | .770 | |
 |
96 | 23 | 5 | 22 | .240 | .345 | .427 | .772 | |
|
25 | 7 | 0 | 0 | .280 | .333 | .440 | .773 | |
  |
100 | 27 | 5 | 15 | .270 | .318 | .460 | .778 | |
 |
57 | 19 | 0 | 5 | .333 | .339 | .439 | .778 | |
|
105 | 34 | 2 | 12 | .324 | .379 | .400 | .779 | |
 |
93 | 25 | 3 | 11 | .269 | .370 | .409 | .779 | |
 |
90 | 22 | 5 | 10 | .244 | .303 | .478 | .781 | |
|
96 | 28 | 1 | 8 | .292 | .364 | .417 | .781 | |
 |
99 | 26 | 4 | 12 | .263 | .360 | .424 | .784 | |
|
89 | 23 | 5 | 11 | .258 | .320 | .472 | .791 | |
 |
36 | 11 | 0 | 5 | .306 | .432 | .361 | .793 | |
|
90 | 25 | 3 | 18 | .278 | .394 | .400 | .794 | |
|
93 | 18 | 9 | 16 | .194 | .279 | .516 | .795 | |
|
100 | 27 | 5 | 11 | .270 | .336 | .460 | .796 | |
|
97 | 32 | 2 | 13 | .330 | .343 | .454 | .797 | |
|
67 | 19 | 2 | 7 | .284 | .351 | .448 | .799 | |
|
102 | 32 | 3 | 12 | .314 | .364 | .441 | .805 | |
 |
81 | 21 | 4 | 12 | .259 | .362 | .444 | .806 | |
|
97 | 29 | 3 | 11 | .299 | .367 | .443 | .810 | |
  |
65 | 21 | 2 | 9 | .323 | .338 | .477 | .815 | |
|
72 | 21 | 2 | 10 | .292 | .378 | .444 | .822 | |
|
95 | 28 | 3 | 18 | .295 | .370 | .453 | .823 | |
 |
42 | 14 | 2 | 8 | .333 | .349 | .476 | .825 | |
|
94 | 20 | 7 | 23 | .213 | .321 | .511 | .832 | |
|
114 | 32 | 6 | 22 | .281 | .297 | .535 | .832 | |
|
97 | 26 | 6 | 20 | .268 | .339 | .495 | .834 | |
|
43 | 14 | 1 | 3 | .326 | .370 | .465 | .835 | |
|
106 | 37 | 1 | 11 | .349 | .391 | .443 | .835 | |
|
78 | 21 | 4 | 12 | .269 | .374 | .474 | .848 | |
|
85 | 23 | 7 | 11 | .271 | .303 | .553 | .856 | |
|
101 | 26 | 7 | 14 | .257 | .324 | .535 | .859 | |
|
76 | 23 | 3 | 12 | .303 | .413 | .447 | .860 | |
|
70 | 20 | 2 | 9 | .286 | .393 | .471 | .864 | |
 |
95 | 29 | 4 | 16 | .305 | .374 | .495 | .869 | |
|
77 | 25 | 2 | 14 | .325 | .447 | .429 | .875 | |
|
98 | 33 | 2 | 14 | .337 | .387 | .490 | .877 | |
 |
58 | 18 | 1 | 6 | .310 | .429 | .448 | .877 | |
|
30 | 11 | 0 | 3 | .367 | .513 | .367 | .879 | |
|
77 | 20 | 4 | 10 | .260 | .412 | .468 | .880 | |
|
11 | 3 | 0 | 2 | .273 | .429 | .455 | .883 | |
|
70 | 23 | 2 | 6 | .329 | .413 | .471 | .884 | |
|
63 | 19 | 4 | 6 | .302 | .362 | .524 | .886 | |
|
85 | 29 | 1 | 13 | .341 | .429 | .459 | .887 | |
|
77 | 22 | 7 | 13 | .286 | .321 | .571 | .892 | |
 |
100 | 33 | 2 | 9 | .330 | .395 | .500 | .895 | |
|
57 | 15 | 5 | 11 | .263 | .354 | .544 | .898 |
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.