MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
 |
74 | 27 | 1 | 12 | .365 | .430 | .419 | .849 | |
 |
99 | 32 | 1 | 7 | .323 | .402 | .444 | .846 | |
  |
87 | 24 | 2 | 13 | .276 | .429 | .414 | .842 | |
|
76 | 25 | 2 | 10 | .329 | .378 | .461 | .839 | |
 |
112 | 37 | 4 | 13 | .330 | .375 | .464 | .839 | |
|
80 | 23 | 3 | 11 | .288 | .326 | .513 | .838 | |
 |
25 | 7 | 1 | 1 | .280 | .438 | .400 | .838 | |
 |
67 | 16 | 5 | 10 | .239 | .329 | .507 | .836 | |
|
93 | 22 | 6 | 18 | .237 | .333 | .495 | .828 | |
 |
47 | 13 | 3 | 5 | .277 | .333 | .489 | .823 | |
 |
74 | 18 | 5 | 12 | .243 | .349 | .473 | .822 | |
|
108 | 29 | 4 | 8 | .269 | .368 | .454 | .822 | |
|
86 | 18 | 6 | 11 | .209 | .343 | .477 | .820 | |
 |
42 | 11 | 2 | 6 | .262 | .367 | .452 | .820 | |
 |
108 | 31 | 5 | 16 | .287 | .319 | .500 | .819 | |
|
98 | 30 | 3 | 12 | .306 | .349 | .469 | .818 | |
|
39 | 9 | 3 | 6 | .231 | .250 | .564 | .814 | |
|
83 | 24 | 3 | 11 | .289 | .375 | .434 | .809 | |
  |
62 | 15 | 2 | 9 | .242 | .372 | .435 | .807 | |
 |
111 | 30 | 5 | 14 | .270 | .347 | .459 | .806 | |
|
40 | 12 | 1 | 4 | .300 | .404 | .400 | .804 | |
|
109 | 30 | 4 | 10 | .275 | .352 | .450 | .802 | |
 |
35 | 10 | 2 | 6 | .286 | .286 | .514 | .800 | |
 |
99 | 28 | 5 | 12 | .283 | .330 | .465 | .795 | |
 |
103 | 27 | 5 | 22 | .262 | .325 | .466 | .791 | |
|
19 | 7 | 0 | 2 | .368 | .368 | .421 | .789 | |
|
75 | 23 | 0 | 7 | .307 | .388 | .400 | .788 | |
|
104 | 32 | 1 | 5 | .308 | .374 | .413 | .787 | |
|
110 | 31 | 6 | 18 | .282 | .319 | .464 | .783 | |
|
36 | 11 | 0 | 5 | .306 | .390 | .389 | .779 | |
|
63 | 14 | 2 | 9 | .222 | .351 | .429 | .779 | |
|
85 | 22 | 6 | 16 | .259 | .297 | .482 | .779 | |
|
111 | 27 | 4 | 19 | .243 | .293 | .486 | .779 | |
|
84 | 25 | 2 | 11 | .298 | .337 | .440 | .778 | |
|
114 | 30 | 6 | 14 | .263 | .303 | .474 | .777 | |
|
96 | 29 | 1 | 5 | .302 | .402 | .375 | .777 | |
 |
39 | 10 | 1 | 12 | .256 | .340 | .436 | .776 | |
|
89 | 20 | 5 | 11 | .225 | .337 | .438 | .775 | |
|
103 | 27 | 3 | 13 | .262 | .309 | .466 | .775 | |
|
81 | 19 | 4 | 12 | .235 | .326 | .444 | .771 | |
|
69 | 18 | 0 | 8 | .261 | .350 | .420 | .770 | |
|
87 | 23 | 3 | 17 | .264 | .295 | .471 | .766 | |
|
80 | 20 | 5 | 18 | .250 | .277 | .488 | .765 | |
|
57 | 13 | 3 | 7 | .228 | .343 | .421 | .764 | |
|
87 | 22 | 3 | 8 | .253 | .337 | .425 | .762 | |
|
109 | 31 | 3 | 18 | .284 | .319 | .440 | .759 | |
|
58 | 14 | 2 | 7 | .241 | .343 | .414 | .757 | |
|
106 | 26 | 7 | 16 | .245 | .292 | .462 | .754 | |
|
24 | 7 | 0 | 3 | .292 | .379 | .375 | .754 | |
|
102 | 27 | 5 | 15 | .265 | .318 | .431 | .750 |
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.