MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▲ |
|---|---|---|---|---|---|---|---|---|---|
 |
17 | 1 | 0 | 1 | .059 | .111 | .059 | .170 | |
 |
11 | 1 | 0 | 0 | .091 | .091 | .091 | .182 | |
|
13 | 1 | 0 | 0 | .077 | .143 | .077 | .220 | |
 |
15 | 2 | 0 | 0 | .133 | .133 | .133 | .267 | |
 |
13 | 1 | 0 | 0 | .077 | .200 | .077 | .277 | |
 |
42 | 5 | 0 | 3 | .119 | .196 | .119 | .315 | |
 |
22 | 3 | 0 | 0 | .136 | .136 | .182 | .318 | |
 |
38 | 4 | 0 | 2 | .105 | .205 | .132 | .336 | |
 |
11 | 1 | 0 | 0 | .091 | .167 | .182 | .348 | |
|
54 | 9 | 0 | 2 | .167 | .164 | .204 | .367 | |
 |
18 | 2 | 0 | 1 | .111 | .261 | .111 | .372 | |
 |
18 | 3 | 0 | 0 | .167 | .211 | .167 | .377 | |
|
41 | 7 | 0 | 2 | .171 | .190 | .195 | .386 | |
|
37 | 6 | 0 | 3 | .162 | .225 | .162 | .387 | |
 |
43 | 4 | 1 | 3 | .093 | .220 | .186 | .406 | |
 |
12 | 2 | 0 | 1 | .167 | .167 | .250 | .417 | |
 |
58 | 9 | 0 | 5 | .155 | .219 | .207 | .426 | |
|
95 | 15 | 1 | 12 | .158 | .208 | .221 | .429 | |
 |
93 | 14 | 1 | 6 | .151 | .184 | .247 | .431 | |
|
11 | 2 | 0 | 1 | .182 | .250 | .182 | .432 | |
 |
55 | 8 | 0 | 4 | .145 | .288 | .145 | .433 | |
|
43 | 6 | 1 | 3 | .140 | .213 | .233 | .445 | |
|
50 | 9 | 0 | 4 | .180 | .214 | .240 | .454 | |
|
89 | 14 | 2 | 4 | .157 | .202 | .258 | .461 | |
|
84 | 12 | 2 | 4 | .143 | .226 | .238 | .464 | |
|
42 | 7 | 1 | 5 | .167 | .205 | .262 | .466 | |
|
71 | 11 | 3 | 7 | .155 | .178 | .310 | .488 | |
|
51 | 11 | 0 | 5 | .216 | .241 | .255 | .496 | |
|
64 | 10 | 2 | 8 | .156 | .203 | .297 | .500 | |
|
76 | 14 | 2 | 5 | .184 | .215 | .289 | .505 | |
|
60 | 10 | 2 | 4 | .167 | .242 | .267 | .509 | |
 |
36 | 6 | 1 | 5 | .167 | .231 | .278 | .509 | |
|
45 | 8 | 0 | 6 | .178 | .288 | .222 | .511 | |
|
49 | 7 | 1 | 4 | .143 | .208 | .306 | .514 | |
|
51 | 7 | 2 | 4 | .137 | .241 | .275 | .516 | |
|
60 | 12 | 0 | 1 | .200 | .250 | .267 | .517 | |
|
27 | 7 | 0 | 1 | .259 | .259 | .259 | .519 | |
|
31 | 5 | 0 | 4 | .161 | .325 | .194 | .519 | |
  |
22 | 4 | 0 | 0 | .182 | .250 | .273 | .523 | |
|
80 | 12 | 3 | 6 | .150 | .245 | .288 | .532 | |
|
76 | 16 | 1 | 3 | .211 | .259 | .276 | .536 | |
|
25 | 3 | 1 | 4 | .120 | .258 | .280 | .538 | |
|
58 | 11 | 1 | 6 | .190 | .254 | .293 | .547 | |
|
38 | 6 | 2 | 7 | .158 | .179 | .368 | .548 | |
 |
101 | 19 | 2 | 16 | .188 | .263 | .287 | .550 | |
|
84 | 12 | 0 | 3 | .143 | .277 | .274 | .551 | |
 |
21 | 4 | 0 | 3 | .190 | .269 | .286 | .555 | |
|
52 | 12 | 0 | 5 | .231 | .268 | .288 | .556 | |
|
22 | 4 | 0 | 0 | .182 | .333 | .227 | .561 | |
|
33 | 7 | 0 | 3 | .212 | .289 | .273 | .562 |
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.