MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▲ |
|---|---|---|---|---|---|---|---|---|---|
 |
47 | 13 | 1 | 6 | .277 | .306 | .426 | .732 | |
 |
44 | 10 | 2 | 11 | .227 | .346 | .386 | .733 | |
 |
41 | 11 | 1 | 6 | .268 | .348 | .390 | .738 | |
 |
33 | 8 | 0 | 3 | .242 | .375 | .364 | .739 | |
|
36 | 8 | 3 | 8 | .222 | .263 | .500 | .763 | |
 |
20 | 6 | 0 | 5 | .300 | .364 | .400 | .764 | |
 |
40 | 12 | 0 | 2 | .300 | .364 | .400 | .764 | |
|
50 | 15 | 1 | 6 | .300 | .368 | .400 | .768 | |
 |
36 | 9 | 2 | 6 | .250 | .325 | .444 | .769 | |
|
39 | 9 | 2 | 4 | .231 | .362 | .410 | .772 | |
 |
21 | 7 | 0 | 2 | .333 | .391 | .381 | .772 | |
|
49 | 14 | 1 | 4 | .286 | .327 | .449 | .776 | |
  |
18 | 5 | 1 | 4 | .278 | .278 | .500 | .778 | |
|
26 | 8 | 1 | 3 | .308 | .357 | .423 | .780 | |
 |
38 | 11 | 2 | 7 | .289 | .282 | .500 | .782 | |
 |
42 | 11 | 2 | 7 | .262 | .354 | .429 | .783 | |
 |
32 | 8 | 2 | 4 | .250 | .314 | .469 | .783 | |
|
37 | 8 | 3 | 7 | .216 | .275 | .514 | .789 | |
|
50 | 10 | 4 | 7 | .200 | .310 | .480 | .790 | |
 |
37 | 12 | 1 | 6 | .324 | .359 | .432 | .791 | |
 |
46 | 12 | 2 | 6 | .261 | .358 | .435 | .793 | |
|
40 | 9 | 4 | 7 | .225 | .244 | .550 | .794 | |
|
35 | 10 | 1 | 7 | .286 | .366 | .429 | .794 | |
|
51 | 13 | 2 | 9 | .255 | .309 | .490 | .799 | |
 |
12 | 4 | 0 | 0 | .333 | .467 | .333 | .800 | |
|
19 | 6 | 0 | 3 | .316 | .381 | .421 | .802 | |
 |
45 | 10 | 4 | 6 | .222 | .271 | .533 | .804 | |
 |
35 | 12 | 0 | 3 | .343 | .351 | .457 | .808 | |
 |
30 | 10 | 0 | 5 | .333 | .375 | .433 | .808 | |
|
26 | 6 | 2 | 4 | .231 | .310 | .500 | .810 | |
|
37 | 11 | 1 | 2 | .297 | .435 | .378 | .813 | |
|
37 | 9 | 2 | 5 | .243 | .300 | .514 | .814 | |
 |
38 | 11 | 1 | 5 | .289 | .341 | .474 | .815 | |
|
39 | 12 | 0 | 6 | .308 | .438 | .385 | .822 | |
|
18 | 5 | 0 | 1 | .278 | .435 | .389 | .824 | |
|
31 | 11 | 1 | 3 | .355 | .355 | .484 | .839 | |
|
33 | 9 | 2 | 12 | .273 | .297 | .545 | .843 | |
|
48 | 12 | 4 | 9 | .250 | .280 | .563 | .843 | |
|
34 | 11 | 0 | 6 | .324 | .432 | .412 | .844 | |
|
14 | 3 | 1 | 1 | .214 | .421 | .429 | .850 | |
  |
43 | 12 | 3 | 6 | .279 | .340 | .512 | .852 | |
|
44 | 10 | 4 | 6 | .227 | .306 | .545 | .852 | |
|
28 | 8 | 0 | 5 | .286 | .389 | .464 | .853 | |
|
54 | 18 | 1 | 9 | .333 | .357 | .500 | .857 | |
|
42 | 9 | 4 | 10 | .214 | .370 | .500 | .870 | |
|
43 | 16 | 1 | 6 | .372 | .417 | .465 | .882 | |
|
37 | 11 | 1 | 2 | .297 | .422 | .459 | .882 | |
|
17 | 6 | 1 | 2 | .353 | .353 | .529 | .882 | |
|
12 | 2 | 2 | 3 | .167 | .231 | .667 | .897 | |
|
42 | 11 | 4 | 7 | .262 | .327 | .571 | .898 |
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.