MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
 |
19 | 9 | 2 | 6 | .474 | .545 | .895 | 1.440 | |
 |
41 | 16 | 5 | 12 | .390 | .550 | .805 | 1.355 | |
 |
22 | 11 | 1 | 4 | .500 | .522 | .727 | 1.249 | |
 |
33 | 13 | 2 | 9 | .394 | .500 | .727 | 1.227 | |
 |
12 | 4 | 2 | 5 | .333 | .385 | .833 | 1.218 | |
|
12 | 5 | 1 | 1 | .417 | .533 | .667 | 1.200 | |
|
33 | 15 | 1 | 4 | .455 | .581 | .606 | 1.187 | |
|
37 | 14 | 3 | 9 | .378 | .425 | .757 | 1.182 | |
 |
34 | 13 | 4 | 8 | .382 | .417 | .765 | 1.181 | |
|
27 | 12 | 0 | 4 | .444 | .464 | .704 | 1.168 | |
 |
43 | 16 | 4 | 11 | .372 | .400 | .767 | 1.167 | |
 |
17 | 6 | 2 | 3 | .353 | .450 | .706 | 1.156 | |
|
20 | 7 | 2 | 7 | .350 | .435 | .700 | 1.135 | |
  |
18 | 7 | 1 | 5 | .389 | .522 | .611 | 1.133 | |
|
36 | 16 | 1 | 7 | .444 | .487 | .639 | 1.126 | |
 |
46 | 16 | 4 | 9 | .348 | .404 | .696 | 1.099 | |
|
36 | 11 | 5 | 5 | .306 | .375 | .722 | 1.097 | |
|
43 | 15 | 3 | 10 | .349 | .417 | .674 | 1.091 | |
|
35 | 13 | 2 | 4 | .371 | .488 | .600 | 1.088 | |
|
47 | 13 | 6 | 10 | .277 | .358 | .723 | 1.082 | |
 |
52 | 19 | 3 | 9 | .365 | .431 | .615 | 1.046 | |
 |
38 | 16 | 1 | 4 | .421 | .436 | .605 | 1.041 | |
 |
36 | 9 | 5 | 6 | .250 | .325 | .694 | 1.019 | |
 |
24 | 7 | 2 | 7 | .292 | .346 | .667 | 1.013 | |
|
39 | 11 | 4 | 17 | .282 | .370 | .641 | 1.011 | |
 |
26 | 8 | 2 | 7 | .308 | .387 | .615 | 1.002 | |
|
46 | 15 | 3 | 6 | .326 | .404 | .587 | .991 | |
|
40 | 16 | 1 | 9 | .400 | .442 | .525 | .967 | |
  |
34 | 11 | 3 | 6 | .324 | .378 | .588 | .967 | |
 |
48 | 15 | 2 | 8 | .313 | .421 | .542 | .963 | |
|
24 | 6 | 2 | 4 | .250 | .379 | .583 | .963 | |
|
37 | 9 | 4 | 11 | .243 | .364 | .595 | .958 | |
|
46 | 14 | 3 | 7 | .304 | .347 | .609 | .956 | |
 |
20 | 7 | 0 | 1 | .350 | .500 | .450 | .950 | |
 |
23 | 9 | 0 | 0 | .391 | .462 | .478 | .940 | |
|
43 | 12 | 3 | 4 | .279 | .404 | .535 | .939 | |
|
35 | 10 | 3 | 6 | .286 | .306 | .629 | .934 | |
|
13 | 4 | 1 | 2 | .308 | .308 | .615 | .923 | |
|
17 | 7 | 0 | 1 | .412 | .450 | .471 | .921 | |
|
26 | 8 | 2 | 3 | .308 | .379 | .538 | .918 | |
|
23 | 6 | 2 | 4 | .261 | .346 | .565 | .911 | |
|
42 | 11 | 4 | 7 | .262 | .327 | .571 | .898 | |
|
12 | 2 | 2 | 3 | .167 | .231 | .667 | .897 | |
|
17 | 6 | 1 | 2 | .353 | .353 | .529 | .882 | |
|
37 | 11 | 1 | 2 | .297 | .422 | .459 | .882 | |
 |
43 | 16 | 1 | 6 | .372 | .417 | .465 | .882 | |
|
42 | 9 | 4 | 10 | .214 | .370 | .500 | .870 | |
|
54 | 18 | 1 | 9 | .333 | .357 | .500 | .857 | |
|
28 | 8 | 0 | 5 | .286 | .389 | .464 | .853 | |
|
44 | 10 | 4 | 6 | .227 | .306 | .545 | .852 |
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.