MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▲ |
|---|---|---|---|---|---|---|---|---|---|
 |
81 | 16 | 2 | 11 | .198 | .217 | .333 | .550 | |
 |
90 | 19 | 3 | 13 | .211 | .250 | .311 | .561 | |
  |
77 | 14 | 1 | 6 | .182 | .292 | .273 | .565 | |
 |
22 | 3 | 1 | 1 | .136 | .296 | .273 | .569 | |
 |
80 | 15 | 2 | 6 | .188 | .270 | .300 | .570 | |
 |
67 | 16 | 1 | 10 | .239 | .243 | .328 | .571 | |
|
59 | 11 | 1 | 5 | .186 | .324 | .254 | .578 | |
 |
56 | 11 | 0 | 3 | .196 | .281 | .304 | .585 | |
 |
88 | 16 | 2 | 10 | .182 | .270 | .318 | .588 | |
|
93 | 14 | 4 | 11 | .151 | .279 | .312 | .591 | |
 |
45 | 11 | 0 | 5 | .244 | .261 | .333 | .594 | |
|
89 | 22 | 1 | 7 | .247 | .261 | .337 | .598 | |
 |
92 | 20 | 1 | 7 | .217 | .294 | .304 | .598 | |
 |
50 | 11 | 0 | 3 | .220 | .278 | .320 | .598 | |
 |
54 | 10 | 1 | 5 | .185 | .323 | .278 | .601 | |
 |
95 | 17 | 4 | 11 | .179 | .255 | .347 | .602 | |
 |
49 | 8 | 1 | 7 | .163 | .338 | .265 | .604 | |
 |
97 | 17 | 6 | 9 | .175 | .216 | .392 | .607 | |
|
57 | 14 | 0 | 1 | .246 | .328 | .281 | .609 | |
|
50 | 10 | 1 | 4 | .200 | .310 | .300 | .610 | |
 |
60 | 12 | 1 | 7 | .200 | .329 | .283 | .612 | |
|
73 | 17 | 2 | 8 | .233 | .273 | .342 | .615 | |
  |
70 | 15 | 2 | 7 | .214 | .291 | .329 | .620 | |
|
99 | 22 | 1 | 12 | .222 | .267 | .354 | .620 | |
|
78 | 16 | 2 | 6 | .205 | .326 | .295 | .621 | |
|
70 | 18 | 0 | 4 | .257 | .312 | .314 | .626 | |
|
67 | 14 | 3 | 10 | .209 | .254 | .373 | .627 | |
|
47 | 11 | 1 | 3 | .234 | .265 | .362 | .627 | |
|
37 | 10 | 0 | 3 | .270 | .308 | .324 | .632 | |
 |
105 | 23 | 2 | 14 | .219 | .308 | .324 | .632 | |
|
53 | 11 | 1 | 7 | .208 | .276 | .358 | .634 | |
|
35 | 7 | 1 | 3 | .200 | .263 | .371 | .635 | |
|
62 | 14 | 1 | 7 | .226 | .314 | .323 | .637 | |
|
82 | 17 | 2 | 8 | .207 | .298 | .341 | .639 | |
|
70 | 17 | 2 | 7 | .243 | .254 | .386 | .639 | |
|
89 | 21 | 1 | 6 | .236 | .303 | .337 | .640 | |
|
95 | 23 | 1 | 8 | .242 | .284 | .358 | .642 | |
|
104 | 21 | 3 | 11 | .202 | .297 | .346 | .643 | |
|
63 | 16 | 1 | 7 | .254 | .266 | .381 | .647 | |
|
89 | 25 | 0 | 10 | .281 | .333 | .315 | .648 | |
|
73 | 14 | 2 | 7 | .192 | .272 | .384 | .655 | |
|
26 | 7 | 0 | 1 | .269 | .387 | .269 | .656 | |
 |
71 | 18 | 1 | 5 | .254 | .321 | .338 | .659 | |
|
33 | 7 | 0 | 5 | .212 | .297 | .364 | .661 | |
|
52 | 13 | 1 | 7 | .250 | .278 | .385 | .662 | |
|
104 | 25 | 2 | 7 | .240 | .316 | .346 | .662 | |
|
87 | 19 | 2 | 10 | .218 | .317 | .345 | .662 | |
|
50 | 13 | 1 | 7 | .260 | .302 | .360 | .662 | |
|
75 | 17 | 3 | 13 | .227 | .263 | .400 | .663 | |
|
62 | 14 | 3 | 4 | .226 | .294 | .371 | .665 |
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.