MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | Split | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▲ |
|---|---|---|---|---|---|---|---|---|---|---|
 |
August | 49 | 16 | 5 | 16 | .327 | .377 | .673 | 1.051 | |
 |
April | 58 | 18 | 5 | 11 | .310 | .397 | .655 | 1.052 | |
 |
April | 31 | 12 | 2 | 9 | .387 | .441 | .613 | 1.054 | |
  |
May | 46 | 16 | 3 | 5 | .348 | .423 | .630 | 1.054 | |
 |
July | 91 | 33 | 5 | 21 | .363 | .429 | .626 | 1.055 | |
|
April | 15 | 5 | 1 | 3 | .333 | .389 | .667 | 1.056 | |
 |
Last 30 Days | 80 | 32 | 3 | 9 | .400 | .495 | .563 | 1.057 | |
 |
March | 10 | 4 | 1 | 6 | .400 | .357 | .700 | 1.057 | |
|
September | 80 | 32 | 3 | 9 | .400 | .495 | .563 | 1.057 | |
|
April | 26 | 12 | 0 | 4 | .462 | .481 | .577 | 1.058 | |
 |
Last 30 Days | 37 | 14 | 1 | 5 | .378 | .410 | .649 | 1.059 | |
 |
March | 17 | 5 | 2 | 4 | .294 | .294 | .765 | 1.059 | |
|
September | 37 | 14 | 1 | 5 | .378 | .410 | .649 | 1.059 | |
 |
June | 48 | 17 | 4 | 18 | .354 | .415 | .646 | 1.061 | |
|
September | 35 | 11 | 4 | 9 | .314 | .324 | .743 | 1.067 | |
 |
Last 7 Days | 13 | 3 | 2 | 2 | .231 | .375 | .692 | 1.067 | |
 |
Last 30 Days | 67 | 22 | 4 | 12 | .328 | .444 | .627 | 1.071 | |
|
May | 104 | 37 | 7 | 33 | .356 | .468 | .606 | 1.074 | |
|
Last 7 Days | 19 | 5 | 2 | 3 | .263 | .391 | .684 | 1.076 | |
|
June | 100 | 40 | 5 | 13 | .400 | .469 | .610 | 1.079 | |
|
Last 15 Days | 47 | 13 | 6 | 10 | .277 | .358 | .723 | 1.082 | |
 |
June | 92 | 29 | 11 | 27 | .315 | .354 | .728 | 1.082 | |
 |
Last 7 Days | 20 | 6 | 2 | 7 | .300 | .333 | .750 | 1.083 | |
|
June | 96 | 33 | 7 | 17 | .344 | .427 | .656 | 1.084 | |
|
Last 7 Days | 19 | 8 | 1 | 4 | .421 | .400 | .684 | 1.084 | |
 |
May | 101 | 39 | 5 | 14 | .386 | .451 | .634 | 1.085 | |
 |
July | 66 | 24 | 5 | 14 | .364 | .403 | .682 | 1.085 | |
|
Last 7 Days | 22 | 6 | 3 | 5 | .273 | .360 | .727 | 1.087 | |
|
June | 100 | 30 | 11 | 27 | .300 | .398 | .690 | 1.088 | |
|
Last 15 Days | 35 | 13 | 2 | 4 | .371 | .488 | .600 | 1.088 | |
|
September | 63 | 21 | 4 | 12 | .333 | .455 | .635 | 1.089 | |
|
July | 66 | 19 | 7 | 18 | .288 | .407 | .682 | 1.089 | |
|
July | 58 | 22 | 5 | 11 | .379 | .383 | .707 | 1.090 | |
 |
Last 15 Days | 43 | 15 | 3 | 10 | .349 | .417 | .674 | 1.091 | |
|
March | 11 | 4 | 1 | 2 | .364 | .364 | .727 | 1.091 | |
|
July | 89 | 33 | 7 | 17 | .371 | .451 | .640 | 1.091 | |
|
August | 108 | 37 | 10 | 24 | .343 | .398 | .694 | 1.093 | |
|
July | 89 | 30 | 7 | 21 | .337 | .422 | .674 | 1.096 | |
|
September | 98 | 34 | 8 | 16 | .347 | .434 | .663 | 1.097 | |
|
Last 7 Days | 23 | 8 | 2 | 4 | .348 | .444 | .652 | 1.097 | |
|
Last 15 Days | 36 | 11 | 5 | 5 | .306 | .375 | .722 | 1.097 | |
|
August | 21 | 9 | 1 | 6 | .429 | .478 | .619 | 1.097 | |
|
July | 89 | 30 | 9 | 21 | .337 | .379 | .719 | 1.098 | |
|
July | 26 | 10 | 1 | 6 | .385 | .484 | .615 | 1.099 | |
|
Last 15 Days | 46 | 16 | 4 | 9 | .348 | .404 | .696 | 1.099 | |
|
April | 44 | 13 | 5 | 10 | .295 | .373 | .727 | 1.100 | |
|
Last 30 Days | 102 | 36 | 8 | 17 | .353 | .441 | .667 | 1.107 | |
|
June | 79 | 27 | 7 | 17 | .342 | .373 | .734 | 1.108 | |
|
March | 20 | 7 | 2 | 10 | .350 | .409 | .700 | 1.109 | |
|
March | 11 | 4 | 1 | 2 | .364 | .385 | .727 | 1.112 |
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.