MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
 |
11 | 6 | 4 | 11 | .545 | .643 | 1.818 | 2.461 | |
|
12 | 5 | 3 | 6 | .417 | .500 | 1.167 | 1.667 | |
 |
13 | 5 | 2 | 6 | .385 | .500 | 1.077 | 1.577 | |
 |
14 | 4 | 4 | 7 | .286 | .412 | 1.143 | 1.555 | |
 |
14 | 8 | 1 | 5 | .571 | .588 | .857 | 1.445 | |
|
17 | 7 | 3 | 3 | .412 | .474 | .941 | 1.415 | |
 |
18 | 6 | 3 | 5 | .333 | .455 | .944 | 1.399 | |
 |
14 | 6 | 2 | 3 | .429 | .467 | .929 | 1.395 | |
  |
14 | 7 | 1 | 5 | .500 | .533 | .857 | 1.390 | |
 |
13 | 5 | 2 | 3 | .385 | .467 | .923 | 1.390 | |
  |
11 | 5 | 1 | 5 | .455 | .455 | .909 | 1.364 | |
|
16 | 7 | 2 | 8 | .438 | .471 | .875 | 1.346 | |
|
16 | 5 | 3 | 5 | .313 | .389 | .938 | 1.326 | |
 |
19 | 7 | 3 | 4 | .368 | .400 | .895 | 1.295 | |
|
14 | 6 | 1 | 1 | .429 | .579 | .714 | 1.293 | |
|
12 | 5 | 1 | 2 | .417 | .500 | .750 | 1.250 | |
|
16 | 6 | 2 | 5 | .375 | .412 | .813 | 1.224 | |
 |
14 | 5 | 1 | 3 | .357 | .400 | .786 | 1.186 | |
|
20 | 9 | 1 | 3 | .450 | .500 | .650 | 1.150 | |
|
10 | 2 | 2 | 3 | .200 | .333 | .800 | 1.133 | |
|
11 | 4 | 1 | 2 | .364 | .385 | .727 | 1.112 | |
 |
20 | 7 | 2 | 10 | .350 | .409 | .700 | 1.109 | |
|
11 | 4 | 1 | 2 | .364 | .364 | .727 | 1.091 | |
 |
17 | 5 | 2 | 4 | .294 | .294 | .765 | 1.059 | |
|
10 | 4 | 1 | 6 | .400 | .357 | .700 | 1.057 | |
|
16 | 6 | 1 | 3 | .375 | .412 | .625 | 1.037 | |
 |
15 | 6 | 0 | 3 | .400 | .500 | .533 | 1.033 | |
|
10 | 3 | 1 | 2 | .300 | .333 | .700 | 1.033 | |
 |
13 | 3 | 2 | 6 | .231 | .333 | .692 | 1.026 | |
|
13 | 4 | 1 | 1 | .308 | .471 | .538 | 1.009 | |
 |
15 | 6 | 0 | 0 | .400 | .471 | .533 | 1.004 | |
|
15 | 6 | 0 | 3 | .400 | .471 | .533 | 1.004 | |
|
14 | 3 | 1 | 4 | .214 | .353 | .643 | .996 | |
|
16 | 3 | 2 | 2 | .188 | .350 | .625 | .975 | |
|
15 | 6 | 0 | 2 | .400 | .438 | .533 | .971 | |
|
21 | 6 | 2 | 3 | .286 | .348 | .619 | .967 | |
 |
14 | 6 | 0 | 1 | .429 | .529 | .429 | .958 | |
|
12 | 2 | 2 | 4 | .167 | .286 | .667 | .952 | |
|
14 | 4 | 1 | 1 | .286 | .375 | .571 | .946 | |
|
16 | 5 | 1 | 2 | .313 | .313 | .625 | .938 | |
 |
14 | 6 | 0 | 0 | .429 | .500 | .429 | .929 | |
|
14 | 6 | 0 | 1 | .429 | .429 | .500 | .929 | |
|
14 | 4 | 1 | 4 | .286 | .412 | .500 | .912 | |
|
17 | 4 | 1 | 3 | .235 | .381 | .529 | .910 | |
|
14 | 4 | 0 | 2 | .286 | .474 | .429 | .902 | |
|
17 | 7 | 0 | 5 | .412 | .421 | .471 | .892 | |
|
15 | 4 | 1 | 1 | .267 | .353 | .533 | .886 | |
|
13 | 3 | 1 | 4 | .231 | .412 | .462 | .873 | |
|
18 | 6 | 0 | 2 | .333 | .368 | .500 | .868 | |
 |
11 | 2 | 1 | 2 | .182 | .308 | .545 | .853 |
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.