MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
 |
10 | 2 | 0 | 0 | .200 | .333 | .300 | .633 | |
 |
16 | 3 | 0 | 4 | .188 | .316 | .313 | .628 | |
 |
19 | 5 | 0 | 1 | .263 | .364 | .263 | .627 | |
 |
17 | 4 | 0 | 1 | .235 | .381 | .235 | .616 | |
|
17 | 4 | 0 | 0 | .235 | .316 | .294 | .610 | |
 |
14 | 2 | 1 | 2 | .143 | .250 | .357 | .607 | |
|
14 | 2 | 1 | 1 | .143 | .250 | .357 | .607 | |
 |
11 | 2 | 0 | 1 | .182 | .333 | .273 | .606 | |
|
11 | 3 | 0 | 0 | .273 | .333 | .273 | .606 | |
 |
21 | 5 | 0 | 3 | .238 | .273 | .333 | .606 | |
|
15 | 2 | 1 | 1 | .133 | .133 | .467 | .600 | |
|
15 | 3 | 1 | 2 | .200 | .200 | .400 | .600 | |
 |
13 | 2 | 1 | 2 | .154 | .214 | .385 | .599 | |
  |
13 | 3 | 0 | 0 | .231 | .286 | .308 | .593 | |
|
23 | 4 | 1 | 1 | .174 | .240 | .348 | .588 | |
 |
23 | 5 | 0 | 1 | .217 | .280 | .304 | .584 | |
 |
12 | 2 | 0 | 0 | .167 | .333 | .250 | .583 | |
|
12 | 3 | 0 | 1 | .250 | .250 | .333 | .583 | |
|
24 | 5 | 1 | 2 | .208 | .208 | .375 | .583 | |
 |
13 | 2 | 0 | 2 | .154 | .267 | .308 | .574 | |
|
16 | 4 | 0 | 1 | .250 | .250 | .313 | .563 | |
 |
19 | 5 | 0 | 2 | .263 | .300 | .263 | .563 | |
|
20 | 3 | 0 | 2 | .150 | .261 | .300 | .561 | |
 |
25 | 4 | 2 | 5 | .160 | .160 | .400 | .560 | |
 |
27 | 4 | 1 | 6 | .148 | .179 | .370 | .549 | |
|
20 | 3 | 0 | 1 | .150 | .346 | .200 | .546 | |
|
14 | 3 | 0 | 0 | .214 | .313 | .214 | .527 | |
|
19 | 5 | 0 | 1 | .263 | .263 | .263 | .526 | |
 |
22 | 5 | 0 | 0 | .227 | .227 | .273 | .500 | |
|
21 | 4 | 0 | 0 | .190 | .261 | .238 | .499 | |
|
21 | 4 | 0 | 1 | .190 | .261 | .238 | .499 | |
|
15 | 3 | 0 | 0 | .200 | .294 | .200 | .494 | |
|
15 | 3 | 0 | 1 | .200 | .294 | .200 | .494 | |
|
22 | 3 | 0 | 4 | .136 | .296 | .182 | .478 | |
 |
19 | 4 | 0 | 0 | .211 | .211 | .263 | .474 | |
|
10 | 2 | 0 | 1 | .200 | .273 | .200 | .473 | |
  |
11 | 2 | 0 | 3 | .182 | .286 | .182 | .468 | |
|
20 | 2 | 1 | 1 | .100 | .217 | .250 | .467 | |
|
13 | 2 | 0 | 0 | .154 | .313 | .154 | .466 | |
|
14 | 1 | 0 | 0 | .071 | .235 | .214 | .450 | |
|
15 | 3 | 0 | 0 | .200 | .250 | .200 | .450 | |
|
15 | 2 | 0 | 2 | .133 | .316 | .133 | .449 | |
|
17 | 2 | 0 | 1 | .118 | .211 | .235 | .446 | |
|
13 | 2 | 0 | 0 | .154 | .214 | .231 | .445 | |
|
18 | 4 | 0 | 2 | .222 | .222 | .222 | .444 | |
|
11 | 2 | 0 | 2 | .182 | .167 | .273 | .439 | |
|
11 | 2 | 0 | 0 | .182 | .250 | .182 | .432 | |
|
25 | 4 | 0 | 2 | .160 | .192 | .240 | .432 | |
|
11 | 2 | 0 | 0 | .182 | .250 | .182 | .432 | |
|
19 | 3 | 0 | 0 | .158 | .273 | .158 | .431 |
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.