MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
 |
90 | 26 | 3 | 12 | .289 | .340 | .500 | .840 | |
 |
55 | 14 | 5 | 8 | .255 | .293 | .545 | .839 | |
|
45 | 11 | 4 | 10 | .244 | .261 | .578 | .839 | |
 |
79 | 19 | 6 | 10 | .241 | .344 | .494 | .838 | |
 |
85 | 25 | 2 | 13 | .294 | .400 | .435 | .835 | |
 |
56 | 15 | 2 | 10 | .268 | .328 | .500 | .828 | |
 |
88 | 31 | 2 | 12 | .352 | .396 | .432 | .828 | |
 |
48 | 14 | 2 | 7 | .292 | .346 | .479 | .825 | |
 |
78 | 23 | 3 | 12 | .295 | .360 | .462 | .822 | |
|
102 | 32 | 3 | 10 | .314 | .352 | .471 | .822 | |
 |
76 | 17 | 7 | 20 | .224 | .294 | .526 | .820 | |
 |
30 | 8 | 2 | 3 | .267 | .353 | .467 | .820 | |
|
73 | 21 | 4 | 16 | .288 | .321 | .493 | .814 | |
|
26 | 6 | 2 | 4 | .231 | .310 | .500 | .810 | |
|
84 | 21 | 7 | 16 | .250 | .284 | .524 | .808 | |
 |
34 | 11 | 0 | 2 | .324 | .395 | .412 | .807 | |
|
50 | 13 | 1 | 5 | .260 | .367 | .440 | .807 | |
|
58 | 16 | 2 | 10 | .276 | .323 | .483 | .806 | |
 |
84 | 22 | 5 | 13 | .262 | .292 | .512 | .804 | |
|
76 | 18 | 4 | 13 | .237 | .370 | .434 | .804 | |
 |
95 | 27 | 3 | 8 | .284 | .346 | .453 | .799 | |
 |
49 | 13 | 3 | 6 | .265 | .345 | .449 | .794 | |
|
73 | 23 | 1 | 7 | .315 | .367 | .425 | .792 | |
 |
82 | 28 | 1 | 6 | .341 | .375 | .415 | .790 | |
  |
38 | 13 | 1 | 4 | .342 | .342 | .447 | .789 | |
|
42 | 13 | 0 | 1 | .310 | .408 | .381 | .789 | |
|
42 | 10 | 2 | 7 | .238 | .333 | .452 | .786 | |
 |
92 | 22 | 5 | 10 | .239 | .307 | .478 | .785 | |
|
99 | 31 | 2 | 10 | .313 | .364 | .414 | .779 | |
|
18 | 5 | 1 | 4 | .278 | .278 | .500 | .778 | |
|
27 | 7 | 2 | 3 | .259 | .259 | .519 | .778 | |
|
84 | 25 | 1 | 8 | .298 | .359 | .417 | .775 | |
 |
79 | 18 | 6 | 9 | .228 | .307 | .468 | .775 | |
|
95 | 19 | 7 | 16 | .200 | .321 | .453 | .774 | |
|
29 | 9 | 0 | 5 | .310 | .355 | .414 | .769 | |
|
82 | 19 | 3 | 11 | .232 | .337 | .427 | .764 | |
|
93 | 22 | 4 | 10 | .237 | .355 | .409 | .763 | |
|
87 | 18 | 5 | 15 | .207 | .333 | .425 | .759 | |
|
26 | 6 | 2 | 5 | .231 | .259 | .500 | .759 | |
|
38 | 11 | 1 | 3 | .289 | .364 | .395 | .758 | |
|
88 | 23 | 5 | 13 | .261 | .301 | .455 | .756 | |
|
90 | 22 | 6 | 14 | .244 | .277 | .478 | .754 | |
|
69 | 18 | 1 | 9 | .261 | .361 | .391 | .753 | |
|
17 | 5 | 0 | 2 | .294 | .400 | .353 | .753 | |
|
20 | 6 | 0 | 3 | .300 | .300 | .450 | .750 | |
|
41 | 9 | 2 | 5 | .220 | .333 | .415 | .748 | |
 |
64 | 19 | 1 | 10 | .297 | .357 | .391 | .748 | |
|
94 | 20 | 7 | 23 | .213 | .275 | .468 | .743 | |
|
80 | 23 | 0 | 9 | .288 | .329 | .413 | .742 | |
|
30 | 5 | 2 | 5 | .167 | .342 | .400 | .742 |
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.