MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▲ |
|---|---|---|---|---|---|---|---|---|---|
 |
43 | 5 | 1 | 4 | .116 | .114 | .209 | .323 | |
 |
24 | 2 | 1 | 2 | .083 | .120 | .208 | .328 | |
 |
33 | 3 | 0 | 1 | .091 | .211 | .121 | .332 | |
 |
28 | 4 | 0 | 2 | .143 | .167 | .179 | .345 | |
 |
26 | 3 | 0 | 3 | .115 | .233 | .115 | .349 | |
 |
91 | 12 | 0 | 3 | .132 | .216 | .154 | .370 | |
|
23 | 2 | 1 | 2 | .087 | .160 | .217 | .377 | |
|
10 | 1 | 0 | 1 | .100 | .286 | .100 | .386 | |
|
81 | 14 | 0 | 7 | .173 | .198 | .198 | .395 | |
 |
30 | 5 | 0 | 1 | .167 | .167 | .233 | .400 | |
 |
66 | 8 | 1 | 5 | .121 | .237 | .167 | .404 | |
  |
44 | 6 | 0 | 2 | .136 | .269 | .136 | .406 | |
  |
20 | 2 | 0 | 2 | .100 | .308 | .100 | .408 | |
 |
61 | 7 | 0 | 1 | .115 | .217 | .197 | .414 | |
 |
62 | 9 | 1 | 5 | .145 | .229 | .194 | .422 | |
|
34 | 4 | 1 | 2 | .118 | .189 | .235 | .424 | |
|
11 | 1 | 0 | 1 | .091 | .333 | .091 | .424 | |
 |
23 | 3 | 1 | 2 | .130 | .167 | .261 | .428 | |
|
28 | 5 | 0 | 0 | .179 | .233 | .214 | .448 | |
|
51 | 6 | 1 | 5 | .118 | .193 | .255 | .448 | |
 |
52 | 9 | 0 | 2 | .173 | .218 | .231 | .449 | |
 |
22 | 4 | 0 | 2 | .182 | .182 | .273 | .455 | |
 |
29 | 5 | 0 | 3 | .172 | .250 | .207 | .457 | |
|
96 | 16 | 2 | 9 | .167 | .214 | .250 | .464 | |
|
71 | 12 | 0 | 8 | .169 | .211 | .254 | .464 | |
|
30 | 5 | 0 | 2 | .167 | .278 | .200 | .478 | |
|
75 | 13 | 1 | 3 | .173 | .215 | .267 | .482 | |
|
29 | 6 | 0 | 1 | .207 | .207 | .276 | .483 | |
|
32 | 6 | 0 | 3 | .188 | .235 | .250 | .485 | |
 |
87 | 11 | 2 | 4 | .126 | .267 | .218 | .485 | |
|
24 | 6 | 0 | 3 | .250 | .240 | .250 | .490 | |
|
23 | 5 | 0 | 1 | .217 | .280 | .217 | .497 | |
|
99 | 17 | 3 | 14 | .172 | .224 | .283 | .507 | |
|
87 | 17 | 0 | 5 | .195 | .278 | .230 | .508 | |
|
33 | 7 | 0 | 2 | .212 | .235 | .273 | .508 | |
|
27 | 5 | 0 | 2 | .185 | .214 | .296 | .511 | |
|
52 | 10 | 0 | 2 | .192 | .263 | .250 | .513 | |
|
80 | 14 | 2 | 14 | .175 | .214 | .300 | .514 | |
|
46 | 10 | 0 | 2 | .217 | .234 | .283 | .517 | |
|
45 | 7 | 1 | 9 | .156 | .250 | .267 | .517 | |
|
33 | 7 | 0 | 1 | .212 | .250 | .273 | .523 | |
 |
60 | 12 | 0 | 6 | .200 | .275 | .250 | .525 | |
|
81 | 15 | 2 | 9 | .185 | .218 | .309 | .527 | |
|
77 | 14 | 2 | 7 | .182 | .229 | .299 | .528 | |
|
11 | 2 | 0 | 0 | .182 | .357 | .182 | .539 | |
|
86 | 16 | 0 | 3 | .186 | .297 | .244 | .541 | |
 |
45 | 9 | 0 | 3 | .200 | .321 | .222 | .543 | |
|
11 | 3 | 0 | 2 | .273 | .273 | .273 | .545 | |
 |
33 | 6 | 0 | 1 | .182 | .243 | .303 | .546 | |
|
62 | 15 | 0 | 3 | .242 | .273 | .274 | .547 |
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.