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 | 107 | 31 | 5 | 18 | .290 | .374 | .486 | .860 | |
 |
April | 76 | 23 | 3 | 12 | .303 | .413 | .447 | .860 | |
  |
Last 30 Days | 86 | 24 | 7 | 14 | .279 | .337 | .523 | .860 | |
|
Last 30 Days | 63 | 18 | 3 | 16 | .286 | .319 | .540 | .859 | |
 |
Last 30 Days | 84 | 21 | 6 | 11 | .250 | .347 | .512 | .859 | |
 |
May | 95 | 27 | 5 | 10 | .284 | .364 | .495 | .859 | |
 |
April | 101 | 26 | 7 | 14 | .257 | .324 | .535 | .859 | |
 |
June | 98 | 24 | 8 | 16 | .245 | .327 | .531 | .858 | |
|
Last 15 Days | 54 | 18 | 1 | 9 | .333 | .357 | .500 | .857 | |
|
Last 30 Days | 105 | 29 | 4 | 17 | .276 | .361 | .495 | .857 | |
|
Last 7 Days | 28 | 10 | 0 | 6 | .357 | .357 | .500 | .857 | |
|
May | 12 | 4 | 0 | 1 | .333 | .357 | .500 | .857 | |
  |
April | 85 | 23 | 7 | 11 | .271 | .303 | .553 | .856 | |
|
Last 7 Days | 18 | 4 | 2 | 2 | .222 | .300 | .556 | .856 | |
|
Last 7 Days | 22 | 7 | 0 | 4 | .318 | .400 | .455 | .855 | |
 |
May | 68 | 18 | 4 | 12 | .265 | .369 | .485 | .854 | |
|
June | 96 | 29 | 4 | 11 | .302 | .343 | .510 | .854 | |
 |
Last 30 Days | 45 | 11 | 4 | 10 | .244 | .277 | .578 | .854 | |
 |
June | 102 | 30 | 3 | 14 | .294 | .383 | .471 | .854 | |
|
Last 7 Days | 18 | 6 | 0 | 3 | .333 | .409 | .444 | .854 | |
|
June | 98 | 27 | 5 | 15 | .276 | .324 | .531 | .854 | |
 |
Last 30 Days | 93 | 27 | 5 | 15 | .290 | .327 | .527 | .853 | |
|
March | 16 | 5 | 1 | 3 | .313 | .353 | .500 | .853 | |
 |
Last 15 Days | 28 | 8 | 0 | 5 | .286 | .389 | .464 | .853 | |
 |
March | 11 | 2 | 1 | 2 | .182 | .308 | .545 | .853 | |
 |
June | 99 | 35 | 1 | 5 | .354 | .398 | .455 | .853 | |
|
July | 58 | 14 | 5 | 8 | .241 | .267 | .586 | .853 | |
|
September | 93 | 27 | 5 | 15 | .290 | .327 | .527 | .853 | |
|
Last 15 Days | 43 | 12 | 3 | 6 | .279 | .340 | .512 | .852 | |
|
Last 15 Days | 44 | 10 | 4 | 6 | .227 | .306 | .545 | .852 | |
|
June | 74 | 23 | 3 | 16 | .311 | .366 | .486 | .852 | |
|
May | 98 | 27 | 7 | 24 | .276 | .291 | .561 | .852 | |
|
May | 70 | 17 | 5 | 12 | .243 | .337 | .514 | .852 | |
|
May | 67 | 20 | 3 | 14 | .299 | .390 | .463 | .852 | |
 |
May | 103 | 27 | 7 | 18 | .262 | .347 | .505 | .852 | |
|
July | 93 | 28 | 4 | 15 | .301 | .347 | .505 | .852 | |
|
July | 48 | 11 | 4 | 8 | .229 | .351 | .500 | .851 | |
|
August | 67 | 17 | 2 | 16 | .254 | .419 | .433 | .851 | |
 |
May | 94 | 26 | 4 | 12 | .277 | .415 | .436 | .851 | |
|
Last 30 Days | 54 | 13 | 5 | 12 | .241 | .295 | .556 | .851 | |
|
September | 54 | 13 | 5 | 12 | .241 | .295 | .556 | .851 | |
|
May | 60 | 19 | 2 | 5 | .317 | .333 | .517 | .850 | |
|
September | 100 | 29 | 4 | 19 | .290 | .330 | .520 | .850 | |
|
August | 108 | 25 | 10 | 29 | .231 | .294 | .556 | .850 | |
|
Last 15 Days | 14 | 3 | 1 | 1 | .214 | .421 | .429 | .850 | |
|
Last 7 Days | 20 | 8 | 0 | 1 | .400 | .400 | .450 | .850 | |
 |
June | 44 | 11 | 3 | 8 | .250 | .327 | .523 | .849 | |
|
May | 74 | 27 | 1 | 12 | .365 | .430 | .419 | .849 | |
|
June | 89 | 27 | 4 | 16 | .303 | .354 | .494 | .849 | |
|
March | 16 | 6 | 0 | 2 | .375 | .474 | .375 | .849 |
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.