MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▲ |
|---|---|---|---|---|---|---|---|---|---|
 |
108 | 26 | 8 | 20 | .241 | .284 | .472 | .757 | |
 |
98 | 17 | 8 | 19 | .173 | .308 | .449 | .757 | |
 |
40 | 12 | 0 | 5 | .300 | .333 | .425 | .758 | |
|
91 | 24 | 4 | 13 | .264 | .309 | .451 | .760 | |
 |
58 | 15 | 2 | 7 | .259 | .338 | .431 | .769 | |
 |
104 | 27 | 4 | 18 | .260 | .328 | .442 | .770 | |
 |
79 | 24 | 1 | 8 | .304 | .353 | .418 | .771 | |
  |
92 | 22 | 5 | 17 | .239 | .304 | .467 | .771 | |
 |
30 | 8 | 1 | 4 | .267 | .371 | .400 | .771 | |
 |
105 | 31 | 3 | 13 | .295 | .362 | .410 | .772 | |
|
32 | 8 | 2 | 7 | .250 | .273 | .500 | .773 | |
|
80 | 21 | 3 | 10 | .263 | .337 | .438 | .775 | |
 |
66 | 20 | 1 | 7 | .303 | .352 | .424 | .776 | |
 |
69 | 18 | 2 | 7 | .261 | .358 | .420 | .778 | |
 |
100 | 23 | 9 | 21 | .230 | .260 | .520 | .780 | |
 |
74 | 20 | 4 | 4 | .270 | .325 | .459 | .784 | |
|
83 | 25 | 2 | 13 | .301 | .376 | .410 | .786 | |
  |
66 | 20 | 1 | 6 | .303 | .365 | .424 | .789 | |
 |
105 | 27 | 4 | 17 | .257 | .322 | .467 | .789 | |
|
35 | 11 | 0 | 4 | .314 | .333 | .457 | .790 | |
 |
100 | 30 | 1 | 5 | .300 | .340 | .450 | .790 | |
|
98 | 23 | 6 | 17 | .235 | .321 | .469 | .791 | |
 |
105 | 28 | 6 | 20 | .267 | .325 | .467 | .791 | |
|
58 | 14 | 3 | 6 | .241 | .343 | .448 | .792 | |
|
56 | 15 | 2 | 10 | .268 | .311 | .482 | .794 | |
|
59 | 17 | 3 | 8 | .288 | .354 | .441 | .795 | |
|
90 | 19 | 5 | 16 | .211 | .366 | .433 | .799 | |
|
98 | 27 | 3 | 15 | .276 | .339 | .459 | .799 | |
|
91 | 29 | 2 | 12 | .319 | .351 | .451 | .801 | |
|
57 | 16 | 1 | 8 | .281 | .382 | .421 | .803 | |
 |
95 | 26 | 4 | 15 | .274 | .343 | .463 | .806 | |
|
36 | 9 | 2 | 5 | .250 | .364 | .444 | .808 | |
|
81 | 24 | 3 | 13 | .296 | .329 | .481 | .811 | |
|
82 | 25 | 3 | 14 | .305 | .348 | .463 | .812 | |
 |
73 | 24 | 1 | 10 | .329 | .388 | .425 | .812 | |
|
62 | 16 | 4 | 7 | .258 | .329 | .484 | .812 | |
|
70 | 18 | 4 | 13 | .257 | .358 | .457 | .815 | |
|
91 | 18 | 10 | 20 | .198 | .255 | .560 | .816 | |
|
80 | 22 | 4 | 9 | .275 | .330 | .488 | .817 | |
|
90 | 26 | 4 | 12 | .289 | .333 | .489 | .822 | |
|
93 | 21 | 9 | 20 | .226 | .295 | .527 | .822 | |
|
17 | 6 | 0 | 1 | .353 | .353 | .471 | .824 | |
|
75 | 22 | 2 | 6 | .293 | .372 | .453 | .825 | |
|
93 | 30 | 2 | 14 | .323 | .344 | .484 | .828 | |
|
102 | 24 | 8 | 19 | .235 | .310 | .520 | .829 | |
|
92 | 29 | 2 | 12 | .315 | .394 | .435 | .829 | |
|
70 | 24 | 0 | 12 | .343 | .387 | .443 | .830 | |
|
90 | 26 | 3 | 17 | .289 | .377 | .456 | .833 | |
|
86 | 22 | 6 | 17 | .256 | .305 | .535 | .840 | |
|
19 | 7 | 0 | 2 | .368 | .368 | .474 | .842 |
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.