MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | Split | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▲ |
|---|---|---|---|---|---|---|---|---|---|---|
  |
Last 30 Days | 88 | 16 | 1 | 9 | .182 | .263 | .284 | .547 | |
 |
July | 12 | 1 | 1 | 1 | .083 | .214 | .333 | .548 | |
 |
June | 38 | 6 | 2 | 7 | .158 | .179 | .368 | .548 | |
  |
Last 30 Days | 43 | 9 | 1 | 6 | .209 | .222 | .326 | .548 | |
|
September | 43 | 9 | 1 | 6 | .209 | .222 | .326 | .548 | |
 |
Last 30 Days | 71 | 16 | 0 | 6 | .225 | .309 | .239 | .548 | |
 |
July | 85 | 12 | 4 | 16 | .141 | .242 | .306 | .548 | |
|
Last 7 Days | 27 | 4 | 1 | 6 | .148 | .179 | .370 | .549 | |
|
March | 19 | 4 | 0 | 1 | .211 | .286 | .263 | .549 | |
|
July | 55 | 11 | 0 | 4 | .200 | .313 | .236 | .549 | |
 |
April | 81 | 16 | 2 | 11 | .198 | .217 | .333 | .550 | |
|
Last 30 Days | 79 | 16 | 0 | 7 | .203 | .284 | .266 | .550 | |
 |
Last 15 Days | 36 | 6 | 2 | 3 | .167 | .189 | .361 | .550 | |
 |
Last 15 Days | 40 | 7 | 1 | 4 | .175 | .250 | .300 | .550 | |
 |
August | 77 | 17 | 0 | 11 | .221 | .277 | .273 | .550 | |
 |
June | 101 | 19 | 2 | 16 | .188 | .263 | .287 | .550 | |
 |
September | 62 | 12 | 1 | 5 | .194 | .292 | .258 | .550 | |
|
May | 99 | 20 | 2 | 11 | .202 | .238 | .313 | .551 | |
 |
September | 59 | 13 | 0 | 4 | .220 | .246 | .305 | .551 | |
|
June | 84 | 12 | 0 | 3 | .143 | .277 | .274 | .551 | |
|
Last 30 Days | 42 | 6 | 2 | 3 | .143 | .265 | .286 | .551 | |
|
September | 66 | 13 | 1 | 7 | .197 | .293 | .258 | .551 | |
|
September | 14 | 3 | 0 | 1 | .214 | .267 | .286 | .552 | |
 |
Last 30 Days | 62 | 14 | 0 | 2 | .226 | .262 | .290 | .552 | |
 |
July | 68 | 14 | 2 | 10 | .206 | .229 | .324 | .552 | |
 |
Last 30 Days | 92 | 20 | 1 | 10 | .217 | .260 | .293 | .553 | |
|
July | 50 | 10 | 0 | 4 | .200 | .273 | .280 | .553 | |
|
September | 62 | 13 | 1 | 4 | .210 | .246 | .306 | .553 | |
|
September | 63 | 13 | 2 | 6 | .206 | .235 | .317 | .553 | |
|
Last 30 Days | 62 | 13 | 1 | 4 | .210 | .246 | .306 | .553 | |
|
August | 26 | 5 | 0 | 2 | .192 | .323 | .231 | .553 | |
|
Last 30 Days | 68 | 13 | 1 | 7 | .191 | .304 | .250 | .554 | |
 |
September | 34 | 6 | 1 | 4 | .176 | .231 | .324 | .554 | |
|
Last 30 Days | 34 | 6 | 1 | 4 | .176 | .231 | .324 | .554 | |
|
Last 15 Days | 31 | 5 | 1 | 2 | .161 | .297 | .258 | .555 | |
|
June | 21 | 4 | 0 | 3 | .190 | .269 | .286 | .555 | |
|
Last 30 Days | 97 | 19 | 2 | 7 | .196 | .225 | .330 | .555 | |
|
Last 30 Days | 67 | 13 | 2 | 5 | .194 | .257 | .299 | .555 | |
|
June | 52 | 12 | 0 | 5 | .231 | .268 | .288 | .556 | |
|
August | 60 | 12 | 1 | 4 | .200 | .273 | .283 | .556 | |
|
Last 15 Days | 41 | 7 | 2 | 3 | .171 | .239 | .317 | .556 | |
|
August | 49 | 10 | 0 | 2 | .204 | .291 | .265 | .556 | |
|
May | 44 | 10 | 0 | 5 | .227 | .261 | .295 | .556 | |
|
Last 15 Days | 53 | 11 | 1 | 3 | .208 | .236 | .321 | .557 | |
|
Last 30 Days | 76 | 10 | 4 | 10 | .132 | .241 | .316 | .557 | |
|
March | 12 | 3 | 0 | 0 | .250 | .308 | .250 | .558 | |
|
May | 90 | 21 | 0 | 9 | .233 | .258 | .300 | .558 | |
|
March | 12 | 3 | 0 | 1 | .250 | .308 | .250 | .558 | |
|
July | 38 | 8 | 1 | 5 | .211 | .268 | .289 | .558 | |
|
August | 91 | 19 | 0 | 5 | .209 | .294 | .264 | .558 |
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.