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 | 1 | 5 | .234 | .308 | .340 | .648 | |
 |
84 | 19 | 3 | 8 | .226 | .278 | .369 | .647 | |
 |
95 | 28 | 0 | 4 | .295 | .309 | .337 | .646 | |
 |
106 | 23 | 5 | 12 | .217 | .278 | .368 | .646 | |
 |
77 | 19 | 2 | 11 | .247 | .293 | .351 | .643 | |
 |
60 | 11 | 2 | 8 | .183 | .310 | .333 | .643 | |
 |
94 | 19 | 3 | 11 | .202 | .279 | .362 | .641 | |
|
96 | 22 | 1 | 10 | .229 | .306 | .333 | .639 | |
 |
105 | 24 | 2 | 6 | .229 | .277 | .362 | .639 | |
  |
81 | 18 | 2 | 7 | .222 | .281 | .358 | .639 | |
 |
81 | 18 | 2 | 11 | .222 | .292 | .346 | .638 | |
|
105 | 27 | 3 | 15 | .257 | .286 | .352 | .638 | |
 |
65 | 14 | 1 | 4 | .215 | .311 | .323 | .634 | |
|
75 | 17 | 1 | 10 | .227 | .341 | .293 | .634 | |
 |
19 | 4 | 1 | 4 | .211 | .211 | .421 | .632 | |
 |
71 | 17 | 2 | 8 | .239 | .280 | .352 | .632 | |
|
40 | 10 | 1 | 7 | .250 | .279 | .350 | .629 | |
|
97 | 22 | 2 | 10 | .227 | .257 | .371 | .629 | |
 |
77 | 20 | 0 | 5 | .260 | .329 | .299 | .628 | |
|
15 | 3 | 0 | 0 | .200 | .294 | .333 | .627 | |
 |
41 | 7 | 2 | 6 | .171 | .261 | .366 | .627 | |
|
67 | 14 | 2 | 8 | .209 | .299 | .328 | .627 | |
 |
49 | 11 | 1 | 4 | .224 | .278 | .347 | .625 | |
 |
94 | 23 | 2 | 4 | .245 | .304 | .319 | .623 | |
|
49 | 11 | 1 | 2 | .224 | .296 | .327 | .623 | |
|
62 | 15 | 1 | 8 | .242 | .266 | .355 | .620 | |
|
91 | 18 | 4 | 10 | .198 | .257 | .363 | .620 | |
|
90 | 19 | 2 | 11 | .211 | .284 | .333 | .618 | |
|
81 | 17 | 2 | 9 | .210 | .247 | .370 | .617 | |
 |
31 | 7 | 0 | 4 | .226 | .294 | .323 | .617 | |
|
105 | 23 | 2 | 12 | .219 | .311 | .305 | .616 | |
|
61 | 12 | 2 | 7 | .197 | .286 | .328 | .614 | |
|
57 | 12 | 1 | 8 | .211 | .224 | .386 | .610 | |
|
16 | 3 | 0 | 1 | .188 | .350 | .250 | .600 | |
 |
15 | 4 | 0 | 4 | .267 | .267 | .333 | .600 | |
|
30 | 6 | 0 | 2 | .200 | .265 | .333 | .598 | |
|
49 | 11 | 0 | 1 | .224 | .309 | .286 | .595 | |
|
25 | 6 | 0 | 5 | .240 | .269 | .320 | .589 | |
|
45 | 9 | 2 | 7 | .200 | .229 | .356 | .585 | |
|
69 | 16 | 1 | 8 | .232 | .264 | .319 | .583 | |
|
22 | 4 | 0 | 3 | .182 | .217 | .364 | .581 | |
|
67 | 15 | 2 | 8 | .224 | .250 | .328 | .578 | |
|
62 | 14 | 0 | 4 | .226 | .250 | .323 | .573 | |
|
42 | 7 | 1 | 2 | .167 | .333 | .238 | .571 | |
|
42 | 8 | 2 | 3 | .190 | .209 | .357 | .566 | |
|
23 | 5 | 1 | 3 | .217 | .217 | .348 | .565 | |
|
92 | 19 | 2 | 9 | .207 | .247 | .315 | .563 | |
|
71 | 14 | 1 | 5 | .197 | .237 | .324 | .561 | |
|
67 | 14 | 2 | 6 | .209 | .247 | .313 | .560 | |
|
81 | 17 | 0 | 9 | .210 | .301 | .259 | .560 |
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.