MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
  |
18 | 4 | 2 | 2 | .222 | .300 | .556 | .856 | |
 |
22 | 7 | 0 | 4 | .318 | .400 | .455 | .855 | |
 |
18 | 6 | 0 | 3 | .333 | .409 | .444 | .854 | |
  |
20 | 8 | 0 | 1 | .400 | .400 | .450 | .850 | |
 |
13 | 3 | 1 | 1 | .231 | .375 | .462 | .837 | |
 |
21 | 6 | 1 | 3 | .286 | .360 | .476 | .836 | |
 |
15 | 3 | 1 | 1 | .200 | .429 | .400 | .829 | |
|
11 | 3 | 1 | 1 | .273 | .273 | .545 | .818 | |
 |
23 | 7 | 0 | 3 | .304 | .370 | .435 | .805 | |
|
15 | 5 | 0 | 3 | .333 | .333 | .467 | .800 | |
 |
18 | 6 | 0 | 3 | .333 | .400 | .389 | .789 | |
 |
25 | 8 | 1 | 4 | .320 | .346 | .440 | .786 | |
|
18 | 5 | 1 | 4 | .278 | .278 | .500 | .778 | |
 |
22 | 6 | 1 | 2 | .273 | .273 | .500 | .773 | |
 |
16 | 5 | 0 | 2 | .313 | .333 | .438 | .771 | |
|
14 | 4 | 0 | 2 | .286 | .412 | .357 | .769 | |
 |
22 | 5 | 2 | 4 | .227 | .261 | .500 | .761 | |
|
25 | 8 | 0 | 3 | .320 | .357 | .400 | .757 | |
 |
21 | 6 | 0 | 0 | .286 | .375 | .381 | .756 | |
|
12 | 3 | 1 | 2 | .250 | .250 | .500 | .750 | |
 |
20 | 5 | 1 | 1 | .250 | .250 | .500 | .750 | |
|
25 | 6 | 1 | 4 | .240 | .269 | .480 | .749 | |
|
17 | 4 | 1 | 5 | .235 | .278 | .471 | .748 | |
 |
13 | 4 | 0 | 0 | .308 | .438 | .308 | .745 | |
 |
17 | 3 | 1 | 2 | .176 | .333 | .412 | .745 | |
|
20 | 6 | 0 | 1 | .300 | .444 | .300 | .744 | |
|
24 | 6 | 1 | 3 | .250 | .280 | .458 | .738 | |
|
18 | 3 | 1 | 2 | .167 | .400 | .333 | .733 | |
|
20 | 4 | 1 | 3 | .200 | .273 | .450 | .723 | |
|
15 | 3 | 1 | 2 | .200 | .250 | .467 | .717 | |
|
22 | 6 | 1 | 2 | .273 | .304 | .409 | .713 | |
|
11 | 2 | 1 | 2 | .182 | .250 | .455 | .705 | |
|
21 | 4 | 1 | 2 | .190 | .320 | .381 | .701 | |
|
13 | 3 | 0 | 3 | .231 | .313 | .385 | .697 | |
|
23 | 6 | 1 | 4 | .261 | .261 | .435 | .696 | |
|
15 | 3 | 1 | 2 | .200 | .294 | .400 | .694 | |
|
18 | 4 | 1 | 4 | .222 | .250 | .444 | .694 | |
|
18 | 5 | 0 | 0 | .278 | .350 | .333 | .683 | |
 |
20 | 4 | 1 | 1 | .200 | .273 | .400 | .673 | |
|
12 | 3 | 0 | 0 | .250 | .250 | .417 | .667 | |
|
10 | 3 | 0 | 0 | .300 | .364 | .300 | .664 | |
|
19 | 4 | 1 | 2 | .211 | .286 | .368 | .654 | |
|
23 | 5 | 1 | 6 | .217 | .217 | .435 | .652 | |
|
14 | 3 | 0 | 1 | .214 | .294 | .357 | .651 | |
|
13 | 3 | 0 | 2 | .231 | .267 | .385 | .651 | |
|
20 | 4 | 1 | 2 | .200 | .200 | .450 | .650 | |
|
15 | 3 | 1 | 1 | .200 | .250 | .400 | .650 | |
|
16 | 4 | 0 | 1 | .250 | .333 | .313 | .646 | |
|
19 | 3 | 1 | 2 | .158 | .273 | .368 | .641 | |
 |
20 | 4 | 1 | 2 | .200 | .238 | .400 | .638 |
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.