MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | Split | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|---|
 |
Last 30 Days | 82 | 25 | 3 | 12 | .305 | .367 | .463 | .830 | |
 |
August | 70 | 24 | 0 | 12 | .343 | .387 | .443 | .830 | |
|
Last 7 Days | 15 | 3 | 1 | 1 | .200 | .429 | .400 | .829 | |
 |
August | 102 | 24 | 8 | 19 | .235 | .310 | .520 | .829 | |
 |
June | 105 | 30 | 5 | 14 | .286 | .324 | .505 | .829 | |
|
August | 92 | 29 | 2 | 12 | .315 | .394 | .435 | .829 | |
 |
March | 15 | 3 | 1 | 2 | .200 | .429 | .400 | .829 | |
 |
August | 93 | 30 | 2 | 14 | .323 | .344 | .484 | .828 | |
 |
September | 56 | 15 | 2 | 10 | .268 | .328 | .500 | .828 | |
 |
September | 88 | 31 | 2 | 12 | .352 | .396 | .432 | .828 | |
|
Last 30 Days | 56 | 15 | 2 | 10 | .268 | .328 | .500 | .828 | |
  |
May | 93 | 22 | 6 | 18 | .237 | .333 | .495 | .828 | |
 |
July | 84 | 22 | 5 | 14 | .262 | .303 | .524 | .827 | |
 |
June | 84 | 24 | 3 | 10 | .286 | .375 | .452 | .827 | |
|
July | 28 | 6 | 3 | 8 | .214 | .290 | .536 | .826 | |
|
July | 74 | 19 | 5 | 18 | .257 | .313 | .514 | .826 | |
|
Last 30 Days | 16 | 6 | 0 | 1 | .375 | .389 | .438 | .826 | |
 |
September | 48 | 14 | 2 | 7 | .292 | .346 | .479 | .825 | |
|
June | 47 | 15 | 0 | 4 | .319 | .421 | .404 | .825 | |
|
August | 75 | 22 | 2 | 6 | .293 | .372 | .453 | .825 | |
|
Last 30 Days | 48 | 14 | 2 | 7 | .292 | .346 | .479 | .825 | |
 |
April | 42 | 14 | 2 | 8 | .333 | .349 | .476 | .825 | |
|
July | 13 | 4 | 0 | 5 | .308 | .286 | .538 | .824 | |
 |
August | 17 | 6 | 0 | 1 | .353 | .353 | .471 | .824 | |
|
June | 44 | 13 | 1 | 2 | .295 | .347 | .477 | .824 | |
|
March | 19 | 6 | 1 | 2 | .316 | .350 | .474 | .824 | |
|
Last 15 Days | 18 | 5 | 0 | 1 | .278 | .435 | .389 | .824 | |
|
July | 58 | 16 | 2 | 9 | .276 | .358 | .466 | .824 | |
  |
April | 95 | 28 | 3 | 18 | .295 | .370 | .453 | .823 | |
 |
May | 47 | 13 | 3 | 5 | .277 | .333 | .489 | .823 | |
|
September | 78 | 23 | 3 | 12 | .295 | .360 | .462 | .822 | |
 |
April | 72 | 21 | 2 | 10 | .292 | .378 | .444 | .822 | |
|
Last 15 Days | 39 | 12 | 0 | 6 | .308 | .438 | .385 | .822 | |
 |
May | 74 | 18 | 5 | 12 | .243 | .349 | .473 | .822 | |
|
September | 102 | 32 | 3 | 10 | .314 | .352 | .471 | .822 | |
|
August | 90 | 26 | 4 | 12 | .289 | .333 | .489 | .822 | |
|
August | 93 | 21 | 9 | 20 | .226 | .295 | .527 | .822 | |
|
May | 108 | 29 | 4 | 8 | .269 | .368 | .454 | .822 | |
|
May | 42 | 11 | 2 | 6 | .262 | .367 | .452 | .820 | |
|
September | 30 | 8 | 2 | 3 | .267 | .353 | .467 | .820 | |
 |
May | 86 | 18 | 6 | 11 | .209 | .343 | .477 | .820 | |
|
September | 76 | 17 | 7 | 20 | .224 | .294 | .526 | .820 | |
|
July | 83 | 24 | 3 | 8 | .289 | .337 | .482 | .819 | |
|
May | 108 | 31 | 5 | 16 | .287 | .319 | .500 | .819 | |
|
May | 98 | 30 | 3 | 12 | .306 | .349 | .469 | .818 | |
|
Last 7 Days | 11 | 3 | 1 | 1 | .273 | .273 | .545 | .818 | |
|
July | 36 | 9 | 3 | 5 | .250 | .289 | .528 | .817 | |
|
August | 80 | 22 | 4 | 9 | .275 | .330 | .488 | .817 | |
|
August | 91 | 18 | 10 | 20 | .198 | .255 | .560 | .816 | |
|
June | 98 | 29 | 4 | 16 | .296 | .367 | .449 | .816 |
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.