MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▲ |
|---|---|---|---|---|---|---|---|---|---|
 |
43 | 9 | 4 | 10 | .209 | .261 | .512 | .772 | |
 |
61 | 17 | 2 | 9 | .279 | .348 | .426 | .774 | |
 |
89 | 24 | 2 | 8 | .270 | .327 | .449 | .776 | |
 |
70 | 17 | 2 | 13 | .243 | .349 | .429 | .778 | |
 |
69 | 21 | 1 | 7 | .304 | .360 | .420 | .780 | |
  |
95 | 28 | 2 | 7 | .295 | .362 | .421 | .783 | |
|
49 | 14 | 0 | 5 | .286 | .397 | .388 | .784 | |
 |
99 | 32 | 2 | 10 | .323 | .374 | .414 | .788 | |
 |
27 | 8 | 1 | 2 | .296 | .345 | .444 | .789 | |
|
95 | 25 | 4 | 13 | .263 | .314 | .484 | .798 | |
|
83 | 21 | 4 | 14 | .253 | .340 | .458 | .798 | |
|
76 | 21 | 4 | 11 | .276 | .325 | .474 | .799 | |
 |
72 | 17 | 5 | 11 | .236 | .286 | .514 | .800 | |
 |
93 | 24 | 5 | 15 | .258 | .349 | .452 | .800 | |
|
86 | 27 | 2 | 8 | .314 | .359 | .442 | .801 | |
 |
93 | 25 | 4 | 17 | .269 | .343 | .462 | .805 | |
 |
81 | 20 | 5 | 16 | .247 | .315 | .494 | .808 | |
|
106 | 25 | 8 | 14 | .236 | .289 | .519 | .808 | |
|
85 | 25 | 4 | 19 | .294 | .330 | .482 | .812 | |
 |
52 | 13 | 4 | 7 | .250 | .278 | .538 | .816 | |
|
36 | 9 | 3 | 5 | .250 | .289 | .528 | .817 | |
|
83 | 24 | 3 | 8 | .289 | .337 | .482 | .819 | |
 |
58 | 16 | 2 | 9 | .276 | .358 | .466 | .824 | |
 |
13 | 4 | 0 | 5 | .308 | .286 | .538 | .824 | |
  |
28 | 6 | 3 | 8 | .214 | .290 | .536 | .826 | |
 |
74 | 19 | 5 | 18 | .257 | .313 | .514 | .826 | |
|
84 | 22 | 5 | 14 | .262 | .303 | .524 | .827 | |
|
95 | 29 | 1 | 15 | .305 | .389 | .442 | .831 | |
|
88 | 28 | 3 | 18 | .318 | .367 | .466 | .833 | |
|
84 | 24 | 5 | 10 | .286 | .319 | .524 | .842 | |
|
93 | 25 | 6 | 13 | .269 | .330 | .516 | .846 | |
|
57 | 18 | 1 | 8 | .316 | .391 | .456 | .847 | |
|
56 | 16 | 2 | 4 | .286 | .365 | .482 | .847 | |
|
48 | 11 | 4 | 8 | .229 | .351 | .500 | .851 | |
|
93 | 28 | 4 | 15 | .301 | .347 | .505 | .852 | |
|
58 | 14 | 5 | 8 | .241 | .267 | .586 | .853 | |
|
88 | 26 | 5 | 19 | .295 | .351 | .511 | .862 | |
|
100 | 28 | 5 | 21 | .280 | .365 | .500 | .865 | |
|
69 | 20 | 3 | 10 | .290 | .346 | .522 | .868 | |
|
18 | 5 | 1 | 3 | .278 | .316 | .556 | .871 | |
 |
31 | 8 | 2 | 5 | .258 | .361 | .516 | .877 | |
|
30 | 7 | 2 | 5 | .233 | .378 | .500 | .878 | |
|
22 | 7 | 1 | 3 | .318 | .333 | .545 | .879 | |
|
90 | 28 | 2 | 14 | .311 | .370 | .511 | .881 | |
|
49 | 15 | 3 | 7 | .306 | .333 | .551 | .884 | |
|
92 | 25 | 6 | 17 | .272 | .337 | .554 | .891 | |
|
90 | 24 | 6 | 18 | .267 | .337 | .556 | .892 | |
|
95 | 27 | 6 | 24 | .284 | .327 | .568 | .895 | |
|
93 | 23 | 6 | 16 | .247 | .400 | .495 | .895 | |
|
91 | 20 | 10 | 18 | .220 | .305 | .593 | .898 |
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.