MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
 |
35 | 9 | 0 | 3 | .257 | .278 | .314 | .592 | |
 |
36 | 8 | 1 | 5 | .222 | .282 | .306 | .588 | |
 |
28 | 5 | 0 | 6 | .179 | .265 | .321 | .586 | |
|
20 | 5 | 0 | 3 | .250 | .286 | .300 | .586 | |
 |
45 | 9 | 2 | 7 | .200 | .229 | .356 | .585 | |
 |
32 | 6 | 0 | 3 | .188 | .297 | .281 | .579 | |
 |
27 | 5 | 0 | 2 | .185 | .313 | .259 | .572 | |
 |
28 | 6 | 1 | 2 | .214 | .214 | .357 | .571 | |
 |
23 | 3 | 1 | 4 | .130 | .222 | .348 | .570 | |
 |
22 | 5 | 0 | 2 | .227 | .250 | .318 | .568 | |
|
37 | 9 | 0 | 1 | .243 | .243 | .324 | .568 | |
 |
35 | 8 | 0 | 2 | .229 | .308 | .257 | .565 | |
 |
28 | 7 | 0 | 2 | .250 | .276 | .286 | .562 | |
  |
29 | 6 | 1 | 6 | .207 | .250 | .310 | .560 | |
 |
53 | 11 | 1 | 3 | .208 | .236 | .321 | .557 | |
  |
41 | 7 | 2 | 3 | .171 | .239 | .317 | .556 | |
|
31 | 5 | 1 | 2 | .161 | .297 | .258 | .555 | |
 |
36 | 6 | 2 | 3 | .167 | .189 | .361 | .550 | |
|
40 | 7 | 1 | 4 | .175 | .250 | .300 | .550 | |
 |
28 | 6 | 0 | 1 | .214 | .290 | .250 | .540 | |
 |
27 | 5 | 1 | 3 | .185 | .241 | .296 | .538 | |
|
44 | 9 | 1 | 7 | .205 | .217 | .318 | .536 | |
|
20 | 4 | 0 | 0 | .200 | .333 | .200 | .533 | |
|
36 | 7 | 0 | 2 | .194 | .310 | .222 | .532 | |
|
30 | 5 | 1 | 2 | .167 | .265 | .267 | .531 | |
|
33 | 7 | 0 | 2 | .212 | .316 | .212 | .528 | |
|
20 | 3 | 1 | 2 | .150 | .227 | .300 | .527 | |
|
38 | 7 | 1 | 2 | .184 | .205 | .316 | .521 | |
|
17 | 3 | 0 | 1 | .176 | .222 | .294 | .516 | |
|
37 | 6 | 0 | 1 | .162 | .273 | .243 | .516 | |
|
19 | 4 | 0 | 0 | .211 | .250 | .263 | .513 | |
|
38 | 6 | 1 | 4 | .158 | .273 | .237 | .510 | |
|
31 | 6 | 1 | 1 | .194 | .219 | .290 | .509 | |
|
14 | 3 | 0 | 1 | .214 | .294 | .214 | .508 | |
|
48 | 9 | 1 | 1 | .188 | .235 | .271 | .506 | |
 |
43 | 7 | 1 | 4 | .163 | .217 | .279 | .496 | |
|
33 | 6 | 1 | 4 | .182 | .182 | .303 | .485 | |
|
38 | 6 | 1 | 4 | .158 | .220 | .263 | .483 | |
|
14 | 3 | 0 | 0 | .214 | .267 | .214 | .481 | |
|
45 | 8 | 1 | 3 | .178 | .213 | .267 | .479 | |
|
49 | 9 | 0 | 3 | .184 | .255 | .224 | .479 | |
|
28 | 3 | 0 | 4 | .107 | .297 | .179 | .476 | |
|
53 | 9 | 1 | 3 | .170 | .211 | .264 | .475 | |
|
22 | 3 | 0 | 1 | .136 | .240 | .227 | .467 | |
|
30 | 4 | 1 | 5 | .133 | .161 | .300 | .461 | |
|
30 | 5 | 1 | 2 | .167 | .194 | .267 | .460 | |
|
33 | 7 | 0 | 0 | .212 | .212 | .242 | .455 | |
|
14 | 1 | 0 | 0 | .071 | .235 | .214 | .450 | |
|
15 | 3 | 0 | 0 | .200 | .250 | .200 | .450 | |
|
28 | 4 | 1 | 2 | .143 | .200 | .250 | .450 |
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.