MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
 |
79 | 15 | 2 | 8 | .190 | .207 | .304 | .511 | |
 |
100 | 20 | 0 | 4 | .200 | .252 | .240 | .492 | |
 |
75 | 12 | 2 | 3 | .160 | .222 | .267 | .489 | |
 |
47 | 9 | 0 | 4 | .191 | .269 | .213 | .482 | |
 |
72 | 13 | 0 | 4 | .181 | .272 | .208 | .480 | |
 |
54 | 11 | 0 | 3 | .204 | .254 | .222 | .476 | |
 |
68 | 13 | 0 | 6 | .191 | .269 | .206 | .475 | |
 |
25 | 4 | 1 | 3 | .160 | .192 | .280 | .472 | |
 |
53 | 8 | 1 | 3 | .151 | .224 | .245 | .469 | |
 |
21 | 4 | 0 | 0 | .190 | .227 | .238 | .465 | |
|
31 | 6 | 0 | 2 | .194 | .265 | .194 | .458 | |
|
75 | 14 | 0 | 4 | .187 | .235 | .213 | .448 | |
|
47 | 8 | 0 | 3 | .170 | .231 | .213 | .444 | |
|
69 | 11 | 1 | 4 | .159 | .205 | .232 | .437 | |
|
14 | 3 | 0 | 1 | .214 | .214 | .214 | .429 | |
 |
40 | 5 | 1 | 1 | .125 | .205 | .200 | .405 | |
 |
80 | 11 | 1 | 6 | .138 | .216 | .188 | .403 | |
|
19 | 2 | 0 | 1 | .105 | .292 | .105 | .397 | |
 |
28 | 3 | 0 | 3 | .107 | .212 | .179 | .391 | |
  |
11 | 2 | 0 | 2 | .182 | .182 | .182 | .364 | |
 |
54 | 6 | 0 | 2 | .111 | .226 | .130 | .355 | |
|
11 | 1 | 0 | 0 | .091 | .167 | .182 | .348 | |
|
17 | 2 | 0 | 1 | .118 | .167 | .176 | .343 | |
|
15 | 1 | 0 | 0 | .067 | .263 | .067 | .330 | |
 |
11 | 1 | 0 | 0 | .091 | .231 | .091 | .322 | |
|
15 | 2 | 0 | 1 | .133 | .188 | .133 | .321 | |
  |
13 | 0 | 0 | 0 | .000 | .316 | .000 | .316 | |
|
25 | 3 | 0 | 1 | .120 | .185 | .120 | .305 | |
 |
28 | 2 | 1 | 1 | .071 | .103 | .179 | .282 | |
|
26 | 2 | 0 | 3 | .077 | .138 | .077 | .215 | |
|
11 | 0 | 0 | 0 | .000 | .154 | .000 | .154 | |
|
14 | 0 | 0 | 0 | .000 | .125 | .000 | .125 | |
|
14 | 0 | 0 | 1 | .000 | .118 | .000 | .118 | |
|
18 | 0 | 0 | 2 | .000 | .053 | .000 | .053 | |
|
11 | 0 | 0 | 0 | .000 | .000 | .000 | .000 |
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.