MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▲ |
|---|---|---|---|---|---|---|---|---|---|
 |
41 | 10 | 3 | 6 | .244 | .279 | .488 | .767 | |
 |
90 | 30 | 0 | 4 | .333 | .390 | .378 | .768 | |
  |
67 | 18 | 2 | 9 | .269 | .338 | .433 | .770 | |
 |
90 | 23 | 3 | 11 | .256 | .316 | .456 | .772 | |
 |
93 | 22 | 6 | 8 | .237 | .311 | .462 | .773 | |
 |
44 | 11 | 2 | 3 | .250 | .298 | .477 | .775 | |
 |
88 | 21 | 5 | 12 | .239 | .287 | .489 | .776 | |
|
77 | 22 | 1 | 9 | .286 | .349 | .429 | .777 | |
 |
93 | 26 | 3 | 9 | .280 | .330 | .452 | .782 | |
 |
22 | 7 | 0 | 1 | .318 | .375 | .409 | .784 | |
  |
100 | 29 | 2 | 9 | .290 | .345 | .440 | .785 | |
 |
99 | 32 | 2 | 9 | .323 | .364 | .424 | .789 | |
|
113 | 30 | 7 | 22 | .265 | .315 | .478 | .792 | |
|
91 | 27 | 2 | 9 | .297 | .343 | .451 | .794 | |
|
35 | 9 | 1 | 4 | .257 | .395 | .400 | .795 | |
 |
25 | 7 | 0 | 1 | .280 | .438 | .360 | .798 | |
|
100 | 26 | 4 | 18 | .260 | .351 | .450 | .801 | |
 |
87 | 25 | 3 | 12 | .287 | .367 | .437 | .804 | |
|
42 | 11 | 3 | 8 | .262 | .304 | .500 | .804 | |
|
18 | 4 | 1 | 4 | .222 | .250 | .556 | .806 | |
|
87 | 23 | 5 | 14 | .264 | .323 | .483 | .806 | |
 |
29 | 8 | 1 | 6 | .276 | .364 | .448 | .812 | |
|
15 | 5 | 0 | 1 | .333 | .412 | .400 | .812 | |
|
67 | 15 | 6 | 10 | .224 | .246 | .567 | .814 | |
 |
98 | 29 | 4 | 16 | .296 | .367 | .449 | .816 | |
|
44 | 13 | 1 | 2 | .295 | .347 | .477 | .824 | |
|
47 | 15 | 0 | 4 | .319 | .421 | .404 | .825 | |
 |
84 | 24 | 3 | 10 | .286 | .375 | .452 | .827 | |
|
105 | 30 | 5 | 14 | .286 | .324 | .505 | .829 | |
 |
93 | 31 | 1 | 12 | .333 | .390 | .441 | .831 | |
|
98 | 29 | 3 | 13 | .296 | .343 | .490 | .833 | |
|
85 | 23 | 4 | 12 | .271 | .422 | .412 | .834 | |
|
37 | 12 | 1 | 1 | .324 | .405 | .432 | .837 | |
|
24 | 7 | 1 | 6 | .292 | .379 | .458 | .838 | |
|
78 | 24 | 3 | 7 | .308 | .353 | .487 | .840 | |
|
96 | 29 | 5 | 16 | .302 | .320 | .521 | .841 | |
|
89 | 27 | 4 | 16 | .303 | .354 | .494 | .849 | |
 |
44 | 11 | 3 | 8 | .250 | .327 | .523 | .849 | |
|
74 | 23 | 3 | 16 | .311 | .366 | .486 | .852 | |
|
99 | 35 | 1 | 5 | .354 | .398 | .455 | .853 | |
|
98 | 27 | 5 | 15 | .276 | .324 | .531 | .854 | |
|
102 | 30 | 3 | 14 | .294 | .383 | .471 | .854 | |
|
96 | 29 | 4 | 11 | .302 | .343 | .510 | .854 | |
|
98 | 24 | 8 | 16 | .245 | .327 | .531 | .858 | |
|
80 | 20 | 6 | 14 | .250 | .310 | .550 | .860 | |
|
97 | 29 | 4 | 16 | .299 | .386 | .474 | .860 | |
|
90 | 28 | 3 | 9 | .311 | .380 | .489 | .869 | |
|
107 | 33 | 4 | 12 | .308 | .368 | .505 | .872 | |
|
81 | 20 | 6 | 14 | .247 | .367 | .506 | .874 | |
|
104 | 31 | 6 | 14 | .298 | .360 | .519 | .879 |
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.