MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
 |
89 | 21 | 2 | 14 | .236 | .278 | .382 | .660 | |
 |
64 | 13 | 2 | 8 | .203 | .329 | .328 | .657 | |
 |
92 | 22 | 2 | 6 | .239 | .307 | .348 | .655 | |
 |
113 | 27 | 3 | 12 | .239 | .283 | .372 | .655 | |
|
49 | 13 | 0 | 4 | .265 | .345 | .306 | .652 | |
|
47 | 11 | 1 | 6 | .234 | .288 | .362 | .650 | |
 |
70 | 17 | 1 | 6 | .243 | .316 | .329 | .645 | |
 |
74 | 16 | 2 | 6 | .216 | .266 | .378 | .644 | |
|
36 | 8 | 1 | 3 | .222 | .282 | .361 | .643 | |
|
44 | 8 | 2 | 3 | .182 | .321 | .318 | .639 | |
 |
52 | 11 | 2 | 4 | .212 | .293 | .346 | .639 | |
|
95 | 24 | 2 | 7 | .253 | .290 | .347 | .637 | |
 |
71 | 20 | 0 | 6 | .282 | .292 | .338 | .630 | |
  |
74 | 19 | 1 | 10 | .257 | .263 | .365 | .628 | |
|
55 | 12 | 0 | 4 | .218 | .317 | .309 | .627 | |
|
102 | 25 | 1 | 8 | .245 | .313 | .314 | .626 | |
  |
69 | 17 | 1 | 7 | .246 | .288 | .333 | .621 | |
 |
79 | 16 | 1 | 7 | .203 | .304 | .316 | .621 | |
 |
102 | 19 | 5 | 13 | .186 | .239 | .382 | .621 | |
|
21 | 5 | 0 | 0 | .238 | .238 | .381 | .619 | |
 |
99 | 25 | 0 | 7 | .253 | .345 | .273 | .618 | |
 |
25 | 6 | 0 | 1 | .240 | .296 | .320 | .616 | |
 |
53 | 11 | 1 | 4 | .208 | .276 | .340 | .615 | |
 |
92 | 21 | 1 | 11 | .228 | .299 | .315 | .614 | |
|
66 | 17 | 0 | 7 | .258 | .310 | .303 | .613 | |
|
66 | 15 | 2 | 6 | .227 | .280 | .333 | .613 | |
|
56 | 10 | 1 | 9 | .179 | .343 | .268 | .611 | |
|
42 | 10 | 1 | 1 | .238 | .273 | .333 | .606 | |
 |
94 | 18 | 3 | 12 | .191 | .230 | .372 | .602 | |
|
42 | 9 | 0 | 4 | .214 | .292 | .310 | .601 | |
|
103 | 19 | 1 | 8 | .184 | .328 | .272 | .600 | |
 |
23 | 5 | 1 | 3 | .217 | .250 | .348 | .598 | |
|
55 | 13 | 1 | 9 | .236 | .288 | .309 | .597 | |
 |
82 | 16 | 3 | 8 | .195 | .267 | .329 | .596 | |
|
39 | 9 | 0 | 3 | .231 | .311 | .282 | .593 | |
|
79 | 15 | 3 | 9 | .190 | .238 | .354 | .593 | |
|
108 | 24 | 1 | 8 | .222 | .294 | .296 | .590 | |
|
74 | 13 | 2 | 8 | .176 | .247 | .338 | .585 | |
|
39 | 8 | 1 | 4 | .205 | .225 | .359 | .584 | |
|
90 | 19 | 3 | 11 | .211 | .250 | .333 | .583 | |
|
33 | 7 | 0 | 2 | .212 | .308 | .273 | .580 | |
|
72 | 15 | 1 | 4 | .208 | .301 | .278 | .579 | |
|
38 | 9 | 1 | 4 | .237 | .237 | .342 | .579 | |
|
116 | 26 | 0 | 5 | .224 | .256 | .319 | .575 | |
|
115 | 27 | 0 | 8 | .235 | .260 | .313 | .573 | |
|
42 | 8 | 1 | 7 | .190 | .190 | .381 | .571 | |
|
37 | 5 | 1 | 4 | .135 | .327 | .243 | .570 | |
|
58 | 12 | 1 | 7 | .207 | .270 | .293 | .563 | |
|
78 | 13 | 2 | 7 | .167 | .267 | .295 | .562 | |
|
91 | 19 | 0 | 5 | .209 | .294 | .264 | .558 |
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.