MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
 |
36 | 9 | 1 | 6 | .250 | .289 | .417 | .706 | |
 |
14 | 3 | 1 | 3 | .214 | .267 | .429 | .695 | |
 |
38 | 11 | 0 | 2 | .289 | .325 | .368 | .693 | |
 |
42 | 12 | 1 | 4 | .286 | .311 | .381 | .692 | |
|
44 | 10 | 2 | 5 | .227 | .277 | .409 | .686 | |
  |
40 | 10 | 2 | 7 | .250 | .286 | .400 | .686 | |
 |
26 | 5 | 1 | 4 | .192 | .300 | .385 | .685 | |
 |
13 | 3 | 0 | 0 | .231 | .375 | .308 | .683 | |
  |
27 | 6 | 1 | 1 | .222 | .276 | .407 | .683 | |
|
22 | 6 | 1 | 2 | .273 | .273 | .409 | .682 | |
 |
55 | 11 | 4 | 8 | .200 | .241 | .436 | .678 | |
 |
43 | 11 | 0 | 4 | .256 | .304 | .372 | .676 | |
|
31 | 6 | 1 | 4 | .194 | .286 | .387 | .673 | |
 |
43 | 10 | 1 | 4 | .233 | .277 | .395 | .672 | |
|
33 | 5 | 3 | 8 | .152 | .216 | .455 | .671 | |
|
54 | 14 | 1 | 8 | .259 | .298 | .370 | .669 | |
|
45 | 12 | 1 | 2 | .267 | .313 | .356 | .668 | |
|
39 | 10 | 1 | 3 | .256 | .310 | .359 | .668 | |
|
37 | 10 | 0 | 3 | .270 | .308 | .351 | .659 | |
|
39 | 5 | 3 | 6 | .128 | .244 | .410 | .655 | |
 |
35 | 6 | 3 | 4 | .171 | .194 | .457 | .652 | |
|
14 | 2 | 1 | 1 | .143 | .294 | .357 | .651 | |
 |
37 | 7 | 2 | 6 | .189 | .244 | .405 | .649 | |
 |
38 | 8 | 1 | 4 | .211 | .333 | .316 | .649 | |
|
48 | 11 | 1 | 5 | .229 | .356 | .292 | .648 | |
|
36 | 9 | 0 | 1 | .250 | .308 | .333 | .641 | |
|
34 | 5 | 2 | 5 | .147 | .256 | .382 | .639 | |
|
23 | 5 | 0 | 0 | .217 | .419 | .217 | .637 | |
|
29 | 6 | 1 | 1 | .207 | .258 | .379 | .637 | |
|
27 | 7 | 1 | 5 | .259 | .259 | .370 | .630 | |
|
41 | 9 | 2 | 5 | .220 | .238 | .390 | .628 | |
|
15 | 3 | 0 | 0 | .200 | .294 | .333 | .627 | |
|
50 | 10 | 1 | 6 | .200 | .245 | .380 | .625 | |
|
20 | 4 | 1 | 1 | .200 | .273 | .350 | .623 | |
|
21 | 6 | 0 | 0 | .286 | .286 | .333 | .619 | |
|
47 | 7 | 2 | 5 | .149 | .298 | .319 | .617 | |
|
34 | 7 | 1 | 1 | .206 | .289 | .324 | .613 | |
 |
38 | 7 | 2 | 2 | .184 | .244 | .368 | .612 | |
 |
39 | 9 | 0 | 4 | .231 | .302 | .308 | .610 | |
|
44 | 10 | 1 | 2 | .227 | .292 | .318 | .610 | |
|
47 | 10 | 1 | 3 | .213 | .245 | .362 | .607 | |
 |
43 | 10 | 1 | 5 | .233 | .233 | .372 | .605 | |
|
24 | 5 | 1 | 3 | .208 | .269 | .333 | .603 | |
 |
29 | 7 | 0 | 2 | .241 | .361 | .241 | .602 | |
 |
15 | 4 | 0 | 4 | .267 | .267 | .333 | .600 | |
|
31 | 6 | 2 | 4 | .194 | .212 | .387 | .599 | |
|
45 | 10 | 0 | 4 | .222 | .308 | .289 | .597 | |
|
34 | 7 | 1 | 6 | .206 | .300 | .294 | .594 | |
|
32 | 6 | 1 | 1 | .188 | .188 | .406 | .594 | |
|
46 | 9 | 2 | 7 | .196 | .224 | .370 | .594 |
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.