MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
 |
67 | 14 | 3 | 10 | .209 | .254 | .373 | .627 | |
 |
47 | 11 | 1 | 3 | .234 | .265 | .362 | .627 | |
 |
70 | 18 | 0 | 4 | .257 | .312 | .314 | .626 | |
|
78 | 16 | 2 | 6 | .205 | .326 | .295 | .621 | |
 |
99 | 22 | 1 | 12 | .222 | .267 | .354 | .620 | |
  |
70 | 15 | 2 | 7 | .214 | .291 | .329 | .620 | |
 |
73 | 17 | 2 | 8 | .233 | .273 | .342 | .615 | |
 |
60 | 12 | 1 | 7 | .200 | .329 | .283 | .612 | |
|
50 | 10 | 1 | 4 | .200 | .310 | .300 | .610 | |
 |
57 | 14 | 0 | 1 | .246 | .328 | .281 | .609 | |
|
97 | 17 | 6 | 9 | .175 | .216 | .392 | .607 | |
 |
49 | 8 | 1 | 7 | .163 | .338 | .265 | .604 | |
|
95 | 17 | 4 | 11 | .179 | .255 | .347 | .602 | |
 |
54 | 10 | 1 | 5 | .185 | .323 | .278 | .601 | |
 |
92 | 20 | 1 | 7 | .217 | .294 | .304 | .598 | |
 |
89 | 22 | 1 | 7 | .247 | .261 | .337 | .598 | |
 |
50 | 11 | 0 | 3 | .220 | .278 | .320 | .598 | |
|
45 | 11 | 0 | 5 | .244 | .261 | .333 | .594 | |
 |
93 | 14 | 4 | 11 | .151 | .279 | .312 | .591 | |
|
88 | 16 | 2 | 10 | .182 | .270 | .318 | .588 | |
|
56 | 11 | 0 | 3 | .196 | .281 | .304 | .585 | |
  |
59 | 11 | 1 | 5 | .186 | .324 | .254 | .578 | |
|
67 | 16 | 1 | 10 | .239 | .243 | .328 | .571 | |
 |
80 | 15 | 2 | 6 | .188 | .270 | .300 | .570 | |
|
22 | 3 | 1 | 1 | .136 | .296 | .273 | .569 | |
|
77 | 14 | 1 | 6 | .182 | .292 | .273 | .565 | |
 |
90 | 19 | 3 | 13 | .211 | .250 | .311 | .561 | |
|
81 | 16 | 2 | 11 | .198 | .217 | .333 | .550 | |
|
62 | 15 | 0 | 3 | .242 | .273 | .274 | .547 | |
|
33 | 6 | 0 | 1 | .182 | .243 | .303 | .546 | |
|
11 | 3 | 0 | 2 | .273 | .273 | .273 | .545 | |
|
45 | 9 | 0 | 3 | .200 | .321 | .222 | .543 | |
|
86 | 16 | 0 | 3 | .186 | .297 | .244 | .541 | |
|
11 | 2 | 0 | 0 | .182 | .357 | .182 | .539 | |
|
77 | 14 | 2 | 7 | .182 | .229 | .299 | .528 | |
|
81 | 15 | 2 | 9 | .185 | .218 | .309 | .527 | |
|
60 | 12 | 0 | 6 | .200 | .275 | .250 | .525 | |
|
33 | 7 | 0 | 1 | .212 | .250 | .273 | .523 | |
|
45 | 7 | 1 | 9 | .156 | .250 | .267 | .517 | |
|
46 | 10 | 0 | 2 | .217 | .234 | .283 | .517 | |
 |
80 | 14 | 2 | 14 | .175 | .214 | .300 | .514 | |
|
52 | 10 | 0 | 2 | .192 | .263 | .250 | .513 | |
|
27 | 5 | 0 | 2 | .185 | .214 | .296 | .511 | |
|
87 | 17 | 0 | 5 | .195 | .278 | .230 | .508 | |
|
33 | 7 | 0 | 2 | .212 | .235 | .273 | .508 | |
|
99 | 17 | 3 | 14 | .172 | .224 | .283 | .507 | |
 |
23 | 5 | 0 | 1 | .217 | .280 | .217 | .497 | |
 |
24 | 6 | 0 | 3 | .250 | .240 | .250 | .490 | |
|
32 | 6 | 0 | 3 | .188 | .235 | .250 | .485 | |
|
87 | 11 | 2 | 4 | .126 | .267 | .218 | .485 |
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.