MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
 |
16 | 5 | 1 | 3 | .313 | .353 | .500 | .853 | |
|
16 | 6 | 0 | 2 | .375 | .474 | .375 | .849 | |
 |
14 | 4 | 0 | 2 | .286 | .412 | .429 | .840 | |
  |
15 | 3 | 1 | 1 | .200 | .368 | .467 | .835 | |
 |
16 | 5 | 1 | 3 | .313 | .333 | .500 | .833 | |
 |
15 | 3 | 1 | 2 | .200 | .429 | .400 | .829 | |
 |
19 | 6 | 1 | 2 | .316 | .350 | .474 | .824 | |
|
15 | 5 | 0 | 0 | .333 | .333 | .467 | .800 | |
 |
18 | 5 | 0 | 1 | .278 | .381 | .389 | .770 | |
 |
17 | 5 | 1 | 2 | .294 | .294 | .471 | .765 | |
 |
15 | 4 | 1 | 3 | .267 | .294 | .467 | .761 | |
  |
13 | 3 | 0 | 1 | .231 | .375 | .385 | .760 | |
|
11 | 2 | 1 | 2 | .182 | .182 | .545 | .727 | |
 |
19 | 5 | 1 | 1 | .263 | .300 | .421 | .721 | |
|
16 | 3 | 1 | 3 | .188 | .278 | .438 | .715 | |
|
14 | 4 | 0 | 1 | .286 | .353 | .357 | .710 | |
|
14 | 4 | 0 | 1 | .286 | .412 | .286 | .697 | |
|
17 | 4 | 1 | 2 | .235 | .278 | .412 | .690 | |
 |
19 | 5 | 0 | 3 | .263 | .318 | .368 | .687 | |
|
13 | 3 | 0 | 2 | .231 | .375 | .308 | .683 | |
|
18 | 5 | 0 | 3 | .278 | .350 | .333 | .683 | |
|
12 | 2 | 0 | 2 | .167 | .500 | .167 | .667 | |
 |
13 | 4 | 0 | 1 | .308 | .357 | .308 | .665 | |
|
23 | 6 | 1 | 3 | .261 | .261 | .391 | .652 | |
 |
13 | 2 | 1 | 1 | .154 | .267 | .385 | .651 | |
|
15 | 3 | 1 | 2 | .200 | .250 | .400 | .650 | |
 |
15 | 4 | 0 | 0 | .267 | .313 | .333 | .646 | |
|
14 | 4 | 0 | 0 | .286 | .286 | .357 | .643 | |
 |
13 | 3 | 0 | 1 | .231 | .333 | .308 | .641 | |
|
19 | 4 | 1 | 1 | .211 | .211 | .421 | .632 | |
 |
17 | 5 | 0 | 1 | .294 | .333 | .294 | .627 | |
|
16 | 3 | 1 | 2 | .188 | .188 | .438 | .625 | |
|
12 | 2 | 0 | 2 | .167 | .375 | .250 | .625 | |
 |
13 | 3 | 0 | 1 | .231 | .313 | .308 | .620 | |
|
14 | 4 | 0 | 2 | .286 | .333 | .286 | .619 | |
|
16 | 4 | 0 | 1 | .250 | .368 | .250 | .618 | |
|
16 | 4 | 0 | 1 | .250 | .294 | .313 | .607 | |
|
14 | 2 | 1 | 3 | .143 | .250 | .357 | .607 | |
|
17 | 5 | 0 | 1 | .294 | .294 | .294 | .588 | |
|
13 | 2 | 0 | 0 | .154 | .353 | .231 | .584 | |
|
12 | 2 | 1 | 1 | .167 | .167 | .417 | .583 | |
|
15 | 4 | 0 | 2 | .267 | .250 | .333 | .583 | |
|
15 | 4 | 0 | 2 | .267 | .250 | .333 | .583 | |
 |
17 | 3 | 1 | 2 | .176 | .222 | .353 | .575 | |
|
18 | 3 | 0 | 0 | .167 | .286 | .278 | .563 | |
|
12 | 3 | 0 | 1 | .250 | .308 | .250 | .558 | |
|
12 | 3 | 0 | 0 | .250 | .308 | .250 | .558 | |
|
19 | 4 | 0 | 1 | .211 | .286 | .263 | .549 | |
|
17 | 2 | 1 | 2 | .118 | .250 | .294 | .544 | |
|
16 | 2 | 1 | 1 | .125 | .222 | .313 | .535 |
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.