MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▲ |
|---|---|---|---|---|---|---|---|---|---|
  |
15 | 0 | 0 | 0 | .000 | .063 | .000 | .063 | |
 |
27 | 2 | 0 | 0 | .074 | .074 | .074 | .148 | |
 |
13 | 1 | 0 | 0 | .077 | .077 | .077 | .154 | |
 |
10 | 1 | 0 | 0 | .100 | .100 | .100 | .200 | |
 |
14 | 1 | 0 | 0 | .071 | .133 | .071 | .205 | |
 |
13 | 1 | 0 | 2 | .077 | .143 | .077 | .220 | |
 |
16 | 1 | 0 | 0 | .063 | .167 | .063 | .229 | |
|
11 | 1 | 0 | 1 | .091 | .167 | .091 | .258 | |
  |
22 | 3 | 0 | 0 | .136 | .136 | .136 | .273 | |
 |
22 | 3 | 0 | 0 | .136 | .136 | .136 | .273 | |
|
10 | 1 | 0 | 0 | .100 | .182 | .100 | .282 | |
 |
10 | 1 | 0 | 0 | .100 | .182 | .100 | .282 | |
 |
14 | 2 | 0 | 1 | .143 | .143 | .143 | .286 | |
|
14 | 2 | 0 | 0 | .143 | .143 | .143 | .286 | |
 |
16 | 1 | 0 | 1 | .063 | .167 | .125 | .292 | |
|
16 | 2 | 0 | 2 | .125 | .167 | .125 | .292 | |
 |
19 | 2 | 0 | 1 | .105 | .190 | .105 | .296 | |
 |
23 | 3 | 0 | 1 | .130 | .167 | .130 | .297 | |
 |
14 | 1 | 0 | 0 | .071 | .235 | .071 | .307 | |
 |
12 | 1 | 0 | 1 | .083 | .143 | .167 | .310 | |
|
15 | 2 | 0 | 0 | .133 | .188 | .133 | .321 | |
 |
15 | 2 | 0 | 0 | .133 | .188 | .133 | .321 | |
 |
23 | 2 | 1 | 1 | .087 | .087 | .261 | .348 | |
|
10 | 1 | 0 | 0 | .100 | .250 | .100 | .350 | |
 |
10 | 1 | 0 | 0 | .100 | .250 | .100 | .350 | |
|
10 | 1 | 0 | 0 | .100 | .250 | .100 | .350 | |
 |
17 | 3 | 0 | 0 | .176 | .176 | .176 | .353 | |
|
24 | 4 | 0 | 0 | .167 | .200 | .167 | .367 | |
|
13 | 2 | 0 | 3 | .154 | .214 | .154 | .368 | |
|
18 | 3 | 0 | 0 | .167 | .211 | .167 | .377 | |
|
27 | 4 | 1 | 2 | .148 | .148 | .259 | .407 | |
|
22 | 4 | 0 | 0 | .182 | .182 | .227 | .409 | |
|
17 | 3 | 0 | 0 | .176 | .176 | .235 | .412 | |
|
26 | 4 | 0 | 0 | .154 | .185 | .231 | .416 | |
|
12 | 2 | 0 | 0 | .167 | .167 | .250 | .417 | |
|
18 | 3 | 0 | 1 | .167 | .250 | .167 | .417 | |
|
12 | 1 | 1 | 2 | .083 | .083 | .333 | .417 | |
|
19 | 3 | 0 | 1 | .158 | .261 | .158 | .419 | |
|
13 | 2 | 0 | 0 | .154 | .267 | .154 | .421 | |
|
16 | 3 | 0 | 2 | .188 | .235 | .188 | .423 | |
|
23 | 4 | 0 | 1 | .174 | .208 | .217 | .426 | |
|
19 | 3 | 0 | 0 | .158 | .273 | .158 | .431 | |
|
11 | 2 | 0 | 0 | .182 | .250 | .182 | .432 | |
|
25 | 4 | 0 | 2 | .160 | .192 | .240 | .432 | |
|
11 | 2 | 0 | 0 | .182 | .250 | .182 | .432 | |
|
11 | 2 | 0 | 2 | .182 | .167 | .273 | .439 | |
|
18 | 4 | 0 | 2 | .222 | .222 | .222 | .444 | |
|
13 | 2 | 0 | 0 | .154 | .214 | .231 | .445 | |
|
17 | 2 | 0 | 1 | .118 | .211 | .235 | .446 | |
|
15 | 2 | 0 | 2 | .133 | .316 | .133 | .449 |
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.