MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▲ |
|---|---|---|---|---|---|---|---|---|---|
 |
47 | 11 | 0 | 7 | .234 | .333 | .234 | .567 | |
 |
72 | 14 | 2 | 6 | .194 | .253 | .319 | .573 | |
 |
57 | 15 | 0 | 7 | .263 | .295 | .281 | .576 | |
 |
91 | 16 | 3 | 9 | .176 | .283 | .297 | .580 | |
|
72 | 15 | 1 | 8 | .208 | .305 | .278 | .583 | |
 |
68 | 17 | 0 | 0 | .250 | .292 | .294 | .586 | |
 |
62 | 13 | 1 | 8 | .210 | .282 | .306 | .588 | |
 |
53 | 12 | 1 | 2 | .226 | .268 | .321 | .589 | |
  |
75 | 14 | 2 | 7 | .187 | .274 | .320 | .594 | |
|
37 | 5 | 2 | 4 | .135 | .273 | .324 | .597 | |
|
67 | 14 | 3 | 12 | .209 | .239 | .358 | .598 | |
 |
81 | 21 | 0 | 6 | .259 | .291 | .309 | .599 | |
|
31 | 8 | 0 | 3 | .258 | .343 | .258 | .601 | |
|
29 | 7 | 0 | 6 | .241 | .290 | .310 | .601 | |
 |
37 | 9 | 0 | 3 | .243 | .333 | .270 | .604 | |
 |
75 | 18 | 0 | 3 | .240 | .326 | .280 | .606 | |
|
33 | 6 | 2 | 4 | .182 | .243 | .364 | .607 | |
|
73 | 15 | 2 | 9 | .205 | .294 | .315 | .609 | |
 |
63 | 14 | 0 | 7 | .222 | .275 | .333 | .609 | |
|
89 | 19 | 2 | 7 | .213 | .311 | .315 | .625 | |
 |
29 | 6 | 0 | 1 | .207 | .281 | .345 | .626 | |
 |
23 | 4 | 0 | 1 | .174 | .321 | .304 | .626 | |
|
76 | 17 | 2 | 8 | .224 | .286 | .342 | .628 | |
|
72 | 13 | 3 | 6 | .181 | .289 | .347 | .636 | |
 |
73 | 15 | 2 | 7 | .205 | .266 | .370 | .636 | |
 |
61 | 16 | 1 | 7 | .262 | .309 | .328 | .637 | |
|
95 | 24 | 1 | 5 | .253 | .345 | .295 | .640 | |
|
95 | 21 | 3 | 12 | .221 | .288 | .358 | .646 | |
|
67 | 15 | 2 | 13 | .224 | .274 | .373 | .647 | |
|
23 | 5 | 0 | 5 | .217 | .345 | .304 | .649 | |
 |
83 | 18 | 1 | 8 | .217 | .337 | .313 | .650 | |
|
59 | 12 | 4 | 12 | .203 | .226 | .424 | .650 | |
|
83 | 18 | 2 | 13 | .217 | .302 | .349 | .651 | |
 |
88 | 20 | 2 | 12 | .227 | .337 | .318 | .655 | |
  |
80 | 19 | 0 | 5 | .238 | .319 | .338 | .656 | |
|
68 | 19 | 0 | 3 | .279 | .333 | .324 | .657 | |
|
113 | 27 | 3 | 8 | .239 | .295 | .363 | .658 | |
|
90 | 23 | 3 | 10 | .256 | .269 | .389 | .658 | |
|
40 | 8 | 1 | 5 | .200 | .333 | .325 | .658 | |
|
91 | 20 | 3 | 10 | .220 | .308 | .352 | .659 | |
|
80 | 18 | 4 | 12 | .225 | .284 | .375 | .659 | |
|
72 | 16 | 3 | 15 | .222 | .300 | .361 | .661 | |
|
93 | 19 | 2 | 8 | .204 | .295 | .366 | .661 | |
|
82 | 17 | 3 | 8 | .207 | .298 | .366 | .664 | |
|
50 | 11 | 2 | 4 | .220 | .264 | .400 | .664 | |
|
88 | 18 | 3 | 11 | .205 | .290 | .375 | .665 | |
|
61 | 14 | 3 | 10 | .230 | .262 | .410 | .671 | |
|
89 | 20 | 3 | 13 | .225 | .255 | .416 | .671 | |
|
47 | 11 | 0 | 5 | .234 | .333 | .340 | .674 | |
|
88 | 19 | 4 | 11 | .216 | .311 | .364 | .675 |
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.