MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
 |
70 | 21 | 0 | 3 | .300 | .388 | .371 | .759 | |
 |
110 | 30 | 3 | 11 | .273 | .347 | .409 | .756 | |
  |
30 | 10 | 0 | 3 | .333 | .355 | .400 | .755 | |
 |
61 | 14 | 3 | 7 | .230 | .329 | .426 | .755 | |
 |
79 | 21 | 1 | 14 | .266 | .310 | .443 | .753 | |
 |
55 | 18 | 1 | 4 | .327 | .351 | .400 | .751 | |
 |
88 | 22 | 2 | 7 | .250 | .347 | .398 | .744 | |
 |
61 | 14 | 1 | 6 | .230 | .382 | .361 | .742 | |
 |
99 | 28 | 2 | 11 | .283 | .327 | .414 | .741 | |
 |
78 | 17 | 4 | 12 | .218 | .291 | .449 | .739 | |
 |
33 | 9 | 1 | 2 | .273 | .314 | .424 | .739 | |
|
63 | 16 | 3 | 7 | .254 | .310 | .429 | .738 | |
|
87 | 26 | 0 | 8 | .299 | .347 | .391 | .738 | |
|
79 | 22 | 0 | 9 | .278 | .341 | .392 | .733 | |
 |
15 | 4 | 1 | 2 | .267 | .267 | .467 | .733 | |
 |
74 | 20 | 2 | 10 | .270 | .299 | .432 | .731 | |
|
54 | 9 | 4 | 8 | .167 | .324 | .407 | .731 | |
 |
78 | 19 | 3 | 10 | .244 | .333 | .397 | .731 | |
|
54 | 11 | 2 | 6 | .204 | .302 | .426 | .728 | |
 |
100 | 27 | 4 | 10 | .270 | .302 | .420 | .722 | |
  |
94 | 20 | 7 | 21 | .213 | .242 | .479 | .721 | |
|
66 | 18 | 1 | 1 | .273 | .342 | .379 | .721 | |
|
87 | 22 | 3 | 11 | .253 | .330 | .391 | .721 | |
|
47 | 11 | 2 | 5 | .234 | .333 | .383 | .716 | |
 |
73 | 19 | 1 | 10 | .260 | .300 | .411 | .711 | |
 |
61 | 17 | 0 | 8 | .279 | .366 | .344 | .710 | |
 |
75 | 21 | 0 | 6 | .280 | .308 | .400 | .708 | |
|
88 | 22 | 2 | 7 | .250 | .343 | .364 | .707 | |
|
99 | 23 | 6 | 18 | .232 | .262 | .444 | .706 | |
|
87 | 20 | 2 | 10 | .230 | .337 | .368 | .704 | |
 |
76 | 16 | 2 | 5 | .211 | .375 | .329 | .704 | |
|
88 | 21 | 2 | 10 | .239 | .306 | .398 | .704 | |
|
93 | 23 | 3 | 13 | .247 | .336 | .366 | .702 | |
|
84 | 26 | 0 | 3 | .310 | .344 | .357 | .702 | |
|
76 | 16 | 3 | 13 | .211 | .318 | .382 | .700 | |
|
94 | 24 | 3 | 13 | .255 | .327 | .372 | .700 | |
|
59 | 12 | 4 | 11 | .203 | .258 | .441 | .698 | |
|
50 | 9 | 3 | 9 | .180 | .317 | .380 | .697 | |
|
50 | 13 | 2 | 8 | .260 | .275 | .420 | .695 | |
|
25 | 7 | 0 | 1 | .280 | .333 | .360 | .693 | |
|
48 | 11 | 1 | 6 | .229 | .315 | .375 | .690 | |
|
32 | 9 | 0 | 3 | .281 | .314 | .375 | .689 | |
|
84 | 19 | 4 | 9 | .226 | .309 | .381 | .689 | |
|
36 | 10 | 1 | 6 | .278 | .297 | .389 | .686 | |
|
38 | 10 | 1 | 5 | .263 | .317 | .368 | .685 | |
|
77 | 18 | 2 | 9 | .234 | .282 | .403 | .685 | |
|
24 | 7 | 0 | 1 | .292 | .308 | .375 | .683 | |
|
84 | 21 | 1 | 8 | .250 | .333 | .345 | .679 | |
|
99 | 28 | 1 | 7 | .283 | .317 | .354 | .671 | |
|
74 | 20 | 2 | 8 | .270 | .276 | .392 | .668 |
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.