MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▲ |
|---|---|---|---|---|---|---|---|---|---|
  |
75 | 17 | 1 | 10 | .227 | .341 | .293 | .634 | |
 |
65 | 14 | 1 | 4 | .215 | .311 | .323 | .634 | |
 |
81 | 18 | 2 | 11 | .222 | .292 | .346 | .638 | |
 |
105 | 27 | 3 | 15 | .257 | .286 | .352 | .638 | |
 |
96 | 22 | 1 | 10 | .229 | .306 | .333 | .639 | |
|
81 | 18 | 2 | 7 | .222 | .281 | .358 | .639 | |
 |
105 | 24 | 2 | 6 | .229 | .277 | .362 | .639 | |
 |
94 | 19 | 3 | 11 | .202 | .279 | .362 | .641 | |
|
60 | 11 | 2 | 8 | .183 | .310 | .333 | .643 | |
|
77 | 19 | 2 | 11 | .247 | .293 | .351 | .643 | |
 |
95 | 28 | 0 | 4 | .295 | .309 | .337 | .646 | |
 |
106 | 23 | 5 | 12 | .217 | .278 | .368 | .646 | |
 |
84 | 19 | 3 | 8 | .226 | .278 | .369 | .647 | |
  |
47 | 11 | 1 | 5 | .234 | .308 | .340 | .648 | |
 |
82 | 17 | 3 | 12 | .207 | .283 | .366 | .648 | |
|
73 | 17 | 0 | 4 | .233 | .321 | .329 | .650 | |
|
90 | 20 | 2 | 12 | .222 | .330 | .322 | .652 | |
|
54 | 13 | 1 | 11 | .241 | .295 | .370 | .665 | |
|
100 | 23 | 3 | 10 | .230 | .286 | .380 | .666 | |
|
62 | 14 | 1 | 3 | .226 | .360 | .306 | .666 | |
|
63 | 13 | 4 | 12 | .206 | .239 | .429 | .667 | |
|
47 | 12 | 0 | 8 | .255 | .327 | .340 | .667 | |
|
15 | 3 | 1 | 4 | .200 | .200 | .467 | .667 | |
|
89 | 18 | 6 | 16 | .202 | .253 | .416 | .668 | |
|
87 | 19 | 4 | 16 | .218 | .247 | .425 | .673 | |
 |
97 | 21 | 3 | 9 | .216 | .303 | .371 | .674 | |
|
87 | 20 | 2 | 10 | .230 | .306 | .368 | .674 | |
|
69 | 14 | 4 | 10 | .203 | .257 | .420 | .677 | |
 |
31 | 7 | 2 | 3 | .226 | .226 | .452 | .677 | |
 |
92 | 23 | 1 | 8 | .250 | .352 | .326 | .678 | |
|
36 | 7 | 1 | 2 | .194 | .318 | .361 | .679 | |
|
73 | 15 | 5 | 11 | .205 | .244 | .438 | .682 | |
|
60 | 10 | 2 | 7 | .167 | .333 | .350 | .683 | |
 |
77 | 19 | 2 | 12 | .247 | .280 | .403 | .683 | |
|
83 | 19 | 2 | 5 | .229 | .347 | .337 | .684 | |
|
25 | 5 | 1 | 5 | .200 | .286 | .400 | .686 | |
|
80 | 20 | 2 | 10 | .250 | .311 | .375 | .686 | |
 |
99 | 23 | 3 | 16 | .232 | .333 | .354 | .687 | |
|
69 | 12 | 3 | 9 | .174 | .345 | .348 | .693 | |
|
80 | 17 | 3 | 9 | .213 | .308 | .388 | .695 | |
|
82 | 18 | 3 | 7 | .220 | .304 | .390 | .695 | |
|
90 | 24 | 2 | 15 | .267 | .275 | .422 | .697 | |
|
69 | 14 | 4 | 16 | .203 | .278 | .420 | .699 | |
|
115 | 32 | 1 | 13 | .278 | .336 | .365 | .701 | |
|
59 | 14 | 2 | 8 | .237 | .328 | .373 | .701 | |
|
63 | 14 | 2 | 9 | .222 | .306 | .397 | .702 | |
|
75 | 16 | 3 | 13 | .213 | .302 | .400 | .702 | |
|
23 | 4 | 2 | 4 | .174 | .269 | .435 | .704 | |
|
103 | 20 | 7 | 13 | .194 | .259 | .447 | .706 | |
|
86 | 25 | 1 | 9 | .291 | .351 | .360 | .712 |
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.