MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
 |
46 | 12 | 1 | 4 | .261 | .277 | .370 | .646 | |
 |
42 | 11 | 0 | 0 | .262 | .311 | .333 | .644 | |
  |
88 | 21 | 2 | 13 | .239 | .320 | .318 | .639 | |
 |
15 | 3 | 0 | 1 | .200 | .368 | .267 | .635 | |
  |
91 | 23 | 3 | 15 | .253 | .268 | .363 | .631 | |
 |
92 | 19 | 3 | 12 | .207 | .291 | .337 | .628 | |
 |
103 | 23 | 3 | 16 | .223 | .268 | .359 | .627 | |
|
103 | 19 | 5 | 10 | .184 | .257 | .369 | .626 | |
|
80 | 16 | 2 | 5 | .200 | .289 | .338 | .626 | |
 |
106 | 20 | 5 | 11 | .189 | .275 | .349 | .624 | |
 |
37 | 10 | 1 | 6 | .270 | .270 | .351 | .622 | |
 |
85 | 17 | 2 | 9 | .200 | .292 | .329 | .621 | |
|
74 | 17 | 2 | 7 | .230 | .240 | .378 | .618 | |
|
108 | 25 | 3 | 13 | .231 | .270 | .343 | .612 | |
 |
83 | 23 | 0 | 8 | .277 | .299 | .313 | .612 | |
|
38 | 10 | 0 | 8 | .263 | .317 | .289 | .607 | |
|
92 | 19 | 1 | 8 | .207 | .324 | .283 | .607 | |
 |
78 | 18 | 2 | 6 | .231 | .247 | .359 | .606 | |
|
90 | 20 | 2 | 6 | .222 | .283 | .322 | .605 | |
 |
49 | 11 | 1 | 5 | .224 | .278 | .327 | .604 | |
|
89 | 19 | 3 | 15 | .213 | .245 | .360 | .604 | |
|
49 | 13 | 0 | 7 | .265 | .294 | .306 | .600 | |
 |
51 | 11 | 1 | 5 | .216 | .286 | .314 | .599 | |
|
90 | 22 | 1 | 12 | .244 | .299 | .300 | .599 | |
|
61 | 13 | 1 | 6 | .213 | .286 | .311 | .597 | |
 |
39 | 9 | 0 | 6 | .231 | .311 | .282 | .593 | |
|
28 | 7 | 0 | 2 | .250 | .267 | .321 | .588 | |
 |
73 | 17 | 0 | 5 | .233 | .300 | .288 | .588 | |
|
70 | 13 | 2 | 6 | .186 | .296 | .286 | .582 | |
 |
109 | 23 | 2 | 15 | .211 | .275 | .303 | .578 | |
|
57 | 13 | 0 | 4 | .228 | .313 | .263 | .577 | |
|
84 | 15 | 4 | 11 | .179 | .205 | .369 | .574 | |
|
58 | 14 | 0 | 3 | .241 | .279 | .293 | .572 | |
 |
91 | 21 | 2 | 5 | .231 | .253 | .319 | .571 | |
|
91 | 20 | 0 | 13 | .220 | .294 | .275 | .569 | |
|
98 | 19 | 2 | 8 | .194 | .279 | .286 | .565 | |
|
41 | 9 | 1 | 7 | .220 | .273 | .293 | .565 | |
|
91 | 23 | 0 | 6 | .253 | .277 | .286 | .562 | |
 |
88 | 16 | 1 | 6 | .182 | .265 | .295 | .561 | |
|
90 | 21 | 0 | 9 | .233 | .258 | .300 | .558 | |
|
44 | 10 | 0 | 5 | .227 | .261 | .295 | .556 | |
|
99 | 20 | 2 | 11 | .202 | .238 | .313 | .551 | |
|
98 | 19 | 1 | 7 | .194 | .269 | .276 | .544 | |
|
33 | 6 | 1 | 3 | .182 | .270 | .273 | .543 | |
|
25 | 5 | 1 | 2 | .200 | .222 | .320 | .542 | |
|
50 | 6 | 2 | 5 | .120 | .228 | .300 | .528 | |
|
30 | 6 | 0 | 1 | .200 | .294 | .233 | .527 | |
|
52 | 7 | 2 | 4 | .135 | .237 | .288 | .526 | |
|
45 | 7 | 1 | 4 | .156 | .255 | .267 | .522 | |
|
30 | 6 | 0 | 3 | .200 | .250 | .267 | .517 |
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.