MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
 |
10 | 5 | 2 | 3 | .500 | .615 | 1.100 | 1.715 | |
 |
20 | 9 | 4 | 9 | .450 | .593 | 1.100 | 1.693 | |
 |
18 | 10 | 2 | 7 | .556 | .619 | 1.056 | 1.675 | |
 |
22 | 14 | 1 | 4 | .636 | .636 | .955 | 1.591 | |
 |
15 | 5 | 4 | 5 | .333 | .412 | 1.133 | 1.545 | |
 |
15 | 8 | 1 | 2 | .533 | .588 | .800 | 1.388 | |
 |
21 | 8 | 4 | 6 | .381 | .381 | 1.000 | 1.381 | |
 |
20 | 7 | 4 | 5 | .350 | .381 | 1.000 | 1.381 | |
 |
24 | 10 | 3 | 6 | .417 | .462 | .917 | 1.378 | |
 |
13 | 5 | 2 | 3 | .385 | .529 | .846 | 1.376 | |
 |
11 | 6 | 0 | 0 | .545 | .583 | .727 | 1.311 | |
|
18 | 8 | 2 | 6 | .444 | .474 | .833 | 1.307 | |
 |
16 | 6 | 1 | 4 | .375 | .444 | .813 | 1.257 | |
  |
10 | 4 | 1 | 5 | .400 | .455 | .800 | 1.255 | |
|
21 | 7 | 3 | 10 | .333 | .417 | .810 | 1.226 | |
 |
12 | 4 | 2 | 5 | .333 | .385 | .833 | 1.218 | |
|
12 | 5 | 1 | 1 | .417 | .533 | .667 | 1.200 | |
|
18 | 6 | 2 | 3 | .333 | .400 | .778 | 1.178 | |
|
18 | 8 | 1 | 5 | .444 | .500 | .667 | 1.167 | |
 |
13 | 7 | 0 | 1 | .538 | .538 | .615 | 1.154 | |
|
13 | 7 | 0 | 1 | .538 | .533 | .615 | 1.149 | |
 |
13 | 5 | 1 | 2 | .385 | .438 | .692 | 1.130 | |
 |
13 | 6 | 0 | 4 | .462 | .500 | .615 | 1.115 | |
|
23 | 8 | 2 | 4 | .348 | .444 | .652 | 1.097 | |
|
22 | 6 | 3 | 5 | .273 | .360 | .727 | 1.087 | |
|
19 | 8 | 1 | 4 | .421 | .400 | .684 | 1.084 | |
|
20 | 6 | 2 | 7 | .300 | .333 | .750 | 1.083 | |
|
19 | 5 | 2 | 3 | .263 | .391 | .684 | 1.076 | |
|
13 | 3 | 2 | 2 | .231 | .375 | .692 | 1.067 | |
|
23 | 8 | 1 | 3 | .348 | .464 | .565 | 1.030 | |
|
17 | 6 | 1 | 3 | .353 | .421 | .588 | 1.009 | |
|
21 | 8 | 1 | 2 | .381 | .480 | .524 | 1.004 | |
|
12 | 4 | 1 | 3 | .333 | .333 | .667 | 1.000 | |
|
19 | 8 | 0 | 3 | .421 | .421 | .579 | 1.000 | |
|
14 | 5 | 0 | 2 | .357 | .500 | .500 | 1.000 | |
|
19 | 4 | 3 | 7 | .211 | .250 | .737 | .987 | |
  |
10 | 3 | 1 | 2 | .300 | .364 | .600 | .964 | |
 |
17 | 6 | 0 | 4 | .353 | .476 | .471 | .947 | |
|
24 | 8 | 2 | 7 | .333 | .320 | .625 | .945 | |
|
16 | 6 | 1 | 5 | .375 | .375 | .563 | .938 | |
|
20 | 5 | 2 | 4 | .250 | .318 | .600 | .918 | |
|
24 | 6 | 2 | 4 | .250 | .333 | .583 | .917 | |
|
19 | 5 | 1 | 3 | .263 | .333 | .579 | .912 | |
|
16 | 4 | 1 | 5 | .250 | .333 | .563 | .896 | |
|
20 | 6 | 1 | 2 | .300 | .391 | .500 | .891 | |
|
24 | 7 | 2 | 3 | .292 | .346 | .542 | .888 | |
|
22 | 7 | 1 | 3 | .318 | .423 | .455 | .878 | |
|
18 | 3 | 3 | 4 | .167 | .211 | .667 | .877 | |
 |
10 | 3 | 0 | 2 | .300 | .364 | .500 | .864 | |
|
28 | 10 | 0 | 6 | .357 | .357 | .500 | .857 |
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.