MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | Split | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|---|
 |
March | 11 | 6 | 4 | 11 | .545 | .643 | 1.818 | 2.461 | |
 |
Last 7 Days | 10 | 5 | 2 | 3 | .500 | .615 | 1.100 | 1.715 | |
|
Last 7 Days | 20 | 9 | 4 | 9 | .450 | .593 | 1.100 | 1.693 | |
 |
Last 7 Days | 18 | 10 | 2 | 7 | .556 | .619 | 1.056 | 1.675 | |
|
March | 12 | 5 | 3 | 6 | .417 | .500 | 1.167 | 1.667 | |
  |
July | 11 | 5 | 1 | 3 | .455 | .500 | 1.091 | 1.591 | |
 |
Last 7 Days | 22 | 14 | 1 | 4 | .636 | .636 | .955 | 1.591 | |
 |
March | 13 | 5 | 2 | 6 | .385 | .500 | 1.077 | 1.577 | |
 |
March | 14 | 4 | 4 | 7 | .286 | .412 | 1.143 | 1.555 | |
 |
Last 7 Days | 15 | 5 | 4 | 5 | .333 | .412 | 1.133 | 1.545 | |
 |
March | 14 | 8 | 1 | 5 | .571 | .588 | .857 | 1.445 | |
 |
Last 15 Days | 19 | 9 | 2 | 6 | .474 | .545 | .895 | 1.440 | |
|
July | 86 | 34 | 11 | 27 | .395 | .480 | .953 | 1.433 | |
|
March | 17 | 7 | 3 | 3 | .412 | .474 | .941 | 1.415 | |
 |
July | 11 | 6 | 1 | 5 | .545 | .583 | .818 | 1.402 | |
|
March | 18 | 6 | 3 | 5 | .333 | .455 | .944 | 1.399 | |
 |
March | 14 | 6 | 2 | 3 | .429 | .467 | .929 | 1.395 | |
  |
March | 14 | 7 | 1 | 5 | .500 | .533 | .857 | 1.390 | |
 |
March | 13 | 5 | 2 | 3 | .385 | .467 | .923 | 1.390 | |
 |
Last 7 Days | 15 | 8 | 1 | 2 | .533 | .588 | .800 | 1.388 | |
|
Last 7 Days | 20 | 7 | 4 | 5 | .350 | .381 | 1.000 | 1.381 | |
|
Last 7 Days | 21 | 8 | 4 | 6 | .381 | .381 | 1.000 | 1.381 | |
 |
Last 7 Days | 24 | 10 | 3 | 6 | .417 | .462 | .917 | 1.378 | |
|
Last 7 Days | 13 | 5 | 2 | 3 | .385 | .529 | .846 | 1.376 | |
|
March | 11 | 5 | 1 | 5 | .455 | .455 | .909 | 1.364 | |
|
Last 15 Days | 41 | 16 | 5 | 12 | .390 | .550 | .805 | 1.355 | |
|
March | 16 | 7 | 2 | 8 | .438 | .471 | .875 | 1.346 | |
|
Last 30 Days | 86 | 33 | 11 | 18 | .384 | .530 | .802 | 1.332 | |
|
March | 16 | 5 | 3 | 5 | .313 | .389 | .938 | 1.326 | |
|
September | 33 | 14 | 3 | 8 | .424 | .537 | .788 | 1.324 | |
|
Last 30 Days | 33 | 14 | 3 | 8 | .424 | .537 | .788 | 1.324 | |
 |
Last 7 Days | 11 | 6 | 0 | 0 | .545 | .583 | .727 | 1.311 | |
|
Last 7 Days | 18 | 8 | 2 | 6 | .444 | .474 | .833 | 1.307 | |
|
March | 19 | 7 | 3 | 4 | .368 | .400 | .895 | 1.295 | |
|
March | 14 | 6 | 1 | 1 | .429 | .579 | .714 | 1.293 | |
|
September | 81 | 30 | 10 | 17 | .370 | .527 | .765 | 1.292 | |
|
April | 20 | 7 | 3 | 5 | .350 | .409 | .850 | 1.259 | |
|
Last 7 Days | 16 | 6 | 1 | 4 | .375 | .444 | .813 | 1.257 | |
|
Last 7 Days | 10 | 4 | 1 | 5 | .400 | .455 | .800 | 1.255 | |
|
August | 62 | 21 | 9 | 23 | .339 | .431 | .823 | 1.253 | |
|
May | 99 | 36 | 11 | 18 | .364 | .453 | .798 | 1.251 | |
|
March | 12 | 5 | 1 | 2 | .417 | .500 | .750 | 1.250 | |
|
Last 15 Days | 22 | 11 | 1 | 4 | .500 | .522 | .727 | 1.249 | |
|
Last 15 Days | 33 | 13 | 2 | 9 | .394 | .500 | .727 | 1.227 | |
|
Last 7 Days | 21 | 7 | 3 | 10 | .333 | .417 | .810 | 1.226 | |
|
March | 16 | 6 | 2 | 5 | .375 | .412 | .813 | 1.224 | |
 |
Last 7 Days | 12 | 4 | 2 | 5 | .333 | .385 | .833 | 1.218 | |
|
Last 30 Days | 12 | 4 | 2 | 5 | .333 | .385 | .833 | 1.218 | |
|
September | 12 | 4 | 2 | 5 | .333 | .385 | .833 | 1.218 | |
|
Last 15 Days | 12 | 4 | 2 | 5 | .333 | .385 | .833 | 1.218 |
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.