MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
 |
104 | 30 | 4 | 19 | .288 | .327 | .510 | .837 | |
 |
100 | 22 | 8 | 18 | .220 | .333 | .500 | .833 | |
 |
82 | 25 | 3 | 12 | .305 | .367 | .463 | .830 | |
 |
56 | 15 | 2 | 10 | .268 | .328 | .500 | .828 | |
|
16 | 6 | 0 | 1 | .375 | .389 | .438 | .826 | |
 |
48 | 14 | 2 | 7 | .292 | .346 | .479 | .825 | |
 |
78 | 17 | 7 | 20 | .218 | .303 | .513 | .816 | |
|
106 | 33 | 3 | 10 | .311 | .348 | .462 | .810 | |
 |
26 | 6 | 2 | 4 | .231 | .310 | .500 | .810 | |
|
45 | 12 | 1 | 4 | .267 | .365 | .444 | .810 | |
 |
89 | 28 | 1 | 10 | .315 | .371 | .438 | .809 | |
|
58 | 16 | 2 | 10 | .276 | .323 | .483 | .806 | |
|
94 | 26 | 3 | 12 | .277 | .327 | .479 | .805 | |
|
93 | 32 | 2 | 12 | .344 | .386 | .419 | .805 | |
 |
84 | 22 | 5 | 13 | .262 | .292 | .512 | .804 | |
|
70 | 20 | 4 | 10 | .286 | .301 | .500 | .801 | |
|
76 | 21 | 4 | 17 | .276 | .325 | .474 | .799 | |
|
37 | 12 | 0 | 2 | .324 | .390 | .405 | .796 | |
|
88 | 22 | 7 | 16 | .250 | .283 | .511 | .794 | |
 |
36 | 8 | 3 | 8 | .222 | .293 | .500 | .793 | |
|
73 | 23 | 1 | 7 | .315 | .367 | .425 | .792 | |
 |
82 | 28 | 1 | 6 | .341 | .375 | .415 | .790 | |
 |
80 | 18 | 6 | 9 | .225 | .326 | .463 | .789 | |
  |
38 | 13 | 1 | 4 | .342 | .342 | .447 | .789 | |
 |
42 | 13 | 0 | 1 | .310 | .408 | .381 | .789 | |
|
42 | 10 | 2 | 7 | .238 | .333 | .452 | .786 | |
 |
98 | 25 | 4 | 12 | .255 | .365 | .418 | .784 | |
|
53 | 13 | 1 | 5 | .245 | .369 | .415 | .784 | |
|
79 | 18 | 4 | 13 | .228 | .365 | .418 | .782 | |
|
84 | 20 | 3 | 11 | .238 | .353 | .429 | .782 | |
|
18 | 5 | 1 | 4 | .278 | .278 | .500 | .778 | |
|
103 | 32 | 2 | 11 | .311 | .366 | .408 | .774 | |
|
34 | 11 | 0 | 5 | .324 | .361 | .412 | .773 | |
 |
32 | 8 | 2 | 3 | .250 | .333 | .438 | .771 | |
|
95 | 22 | 5 | 10 | .232 | .305 | .463 | .768 | |
 |
99 | 27 | 3 | 8 | .273 | .333 | .434 | .768 | |
|
73 | 20 | 1 | 9 | .274 | .368 | .397 | .765 | |
|
26 | 6 | 2 | 5 | .231 | .259 | .500 | .759 | |
|
38 | 11 | 1 | 3 | .289 | .364 | .395 | .758 | |
|
84 | 25 | 0 | 10 | .298 | .337 | .417 | .754 | |
|
17 | 5 | 0 | 2 | .294 | .400 | .353 | .753 | |
|
41 | 9 | 2 | 5 | .220 | .333 | .415 | .748 | |
 |
64 | 19 | 1 | 10 | .297 | .357 | .391 | .748 | |
|
30 | 5 | 2 | 5 | .167 | .342 | .400 | .742 | |
|
81 | 20 | 2 | 5 | .247 | .371 | .370 | .742 | |
|
91 | 23 | 5 | 13 | .253 | .299 | .440 | .739 | |
|
90 | 18 | 5 | 16 | .200 | .327 | .411 | .738 | |
|
53 | 13 | 3 | 6 | .245 | .322 | .415 | .737 | |
|
80 | 21 | 3 | 11 | .263 | .337 | .400 | .737 | |
|
87 | 22 | 5 | 15 | .253 | .275 | .460 | .734 |
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.