MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
 |
60 | 12 | 1 | 4 | .200 | .273 | .283 | .556 | |
 |
49 | 10 | 0 | 2 | .204 | .291 | .265 | .556 | |
 |
26 | 5 | 0 | 2 | .192 | .323 | .231 | .553 | |
 |
77 | 17 | 0 | 11 | .221 | .277 | .273 | .550 | |
 |
49 | 9 | 1 | 3 | .184 | .259 | .286 | .545 | |
 |
22 | 4 | 1 | 4 | .182 | .182 | .364 | .545 | |
|
67 | 14 | 0 | 2 | .209 | .260 | .284 | .544 | |
 |
26 | 6 | 0 | 0 | .231 | .231 | .308 | .538 | |
 |
78 | 14 | 2 | 11 | .179 | .233 | .295 | .527 | |
 |
30 | 6 | 1 | 3 | .200 | .194 | .333 | .527 | |
 |
27 | 3 | 1 | 2 | .111 | .226 | .296 | .522 | |
|
23 | 4 | 0 | 2 | .174 | .259 | .261 | .520 | |
 |
13 | 3 | 0 | 2 | .231 | .286 | .231 | .516 | |
|
112 | 24 | 1 | 5 | .214 | .246 | .268 | .514 | |
  |
89 | 16 | 2 | 3 | .180 | .240 | .270 | .509 | |
 |
72 | 16 | 0 | 10 | .222 | .230 | .278 | .508 | |
 |
60 | 8 | 2 | 9 | .133 | .235 | .267 | .502 | |
 |
39 | 6 | 1 | 4 | .154 | .244 | .256 | .501 | |
|
36 | 5 | 1 | 4 | .139 | .279 | .222 | .501 | |
|
53 | 8 | 2 | 6 | .151 | .190 | .302 | .492 | |
|
59 | 10 | 0 | 5 | .169 | .254 | .220 | .474 | |
 |
88 | 12 | 3 | 6 | .136 | .208 | .261 | .470 | |
|
23 | 5 | 0 | 4 | .217 | .208 | .261 | .469 | |
|
15 | 3 | 0 | 3 | .200 | .200 | .267 | .467 | |
|
34 | 7 | 0 | 3 | .206 | .229 | .235 | .464 | |
|
52 | 7 | 1 | 2 | .135 | .250 | .212 | .462 | |
 |
32 | 4 | 1 | 2 | .125 | .243 | .219 | .462 | |
|
19 | 2 | 1 | 1 | .105 | .190 | .263 | .454 | |
|
22 | 3 | 0 | 3 | .136 | .269 | .182 | .451 | |
|
56 | 11 | 0 | 5 | .196 | .233 | .214 | .448 | |
|
68 | 10 | 1 | 4 | .147 | .227 | .221 | .447 | |
|
70 | 14 | 0 | 3 | .200 | .233 | .214 | .447 | |
|
28 | 4 | 1 | 6 | .143 | .188 | .250 | .438 | |
|
37 | 5 | 0 | 2 | .135 | .220 | .216 | .436 | |
|
34 | 4 | 1 | 5 | .118 | .189 | .235 | .424 | |
|
44 | 5 | 0 | 3 | .114 | .231 | .182 | .413 | |
|
65 | 9 | 1 | 3 | .138 | .188 | .215 | .404 | |
|
59 | 9 | 1 | 3 | .153 | .167 | .237 | .404 | |
|
15 | 2 | 0 | 1 | .133 | .188 | .200 | .388 | |
|
62 | 8 | 1 | 5 | .129 | .169 | .194 | .363 | |
|
20 | 2 | 0 | 0 | .100 | .250 | .100 | .350 | |
|
46 | 5 | 0 | 3 | .109 | .163 | .174 | .337 | |
|
15 | 2 | 0 | 2 | .133 | .133 | .200 | .333 | |
|
20 | 2 | 0 | 1 | .100 | .100 | .200 | .300 | |
|
33 | 3 | 0 | 1 | .091 | .167 | .091 | .258 | |
|
13 | 1 | 0 | 1 | .077 | .077 | .154 | .231 | |
|
10 | 0 | 0 | 0 | .000 | .167 | .000 | .167 | |
|
12 | 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.