MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | Split | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|---|
 |
September | 67 | 14 | 0 | 4 | .209 | .299 | .224 | .523 | |
  |
June | 22 | 4 | 0 | 0 | .182 | .250 | .273 | .523 | |
 |
September | 67 | 14 | 0 | 3 | .209 | .299 | .224 | .523 | |
 |
May | 45 | 7 | 1 | 4 | .156 | .255 | .267 | .522 | |
|
March | 13 | 3 | 0 | 3 | .231 | .214 | .308 | .522 | |
|
August | 27 | 3 | 1 | 2 | .111 | .226 | .296 | .522 | |
 |
September | 63 | 12 | 2 | 6 | .190 | .221 | .302 | .522 | |
|
Last 15 Days | 38 | 7 | 1 | 2 | .184 | .205 | .316 | .521 | |
 |
August | 23 | 4 | 0 | 2 | .174 | .259 | .261 | .520 | |
 |
July | 61 | 8 | 3 | 6 | .131 | .209 | .311 | .520 | |
 |
June | 27 | 7 | 0 | 1 | .259 | .259 | .259 | .519 | |
 |
September | 28 | 5 | 0 | 2 | .179 | .233 | .286 | .519 | |
 |
June | 31 | 5 | 0 | 4 | .161 | .325 | .194 | .519 | |
|
May | 30 | 6 | 0 | 3 | .200 | .250 | .267 | .517 | |
|
June | 60 | 12 | 0 | 1 | .200 | .250 | .267 | .517 | |
|
April | 45 | 7 | 1 | 9 | .156 | .250 | .267 | .517 | |
|
April | 46 | 10 | 0 | 2 | .217 | .234 | .283 | .517 | |
|
March | 13 | 3 | 0 | 0 | .231 | .286 | .231 | .516 | |
|
June | 51 | 7 | 2 | 4 | .137 | .241 | .275 | .516 | |
|
Last 15 Days | 17 | 3 | 0 | 1 | .176 | .222 | .294 | .516 | |
 |
August | 13 | 3 | 0 | 2 | .231 | .286 | .231 | .516 | |
|
Last 15 Days | 37 | 6 | 0 | 1 | .162 | .273 | .243 | .516 | |
 |
September | 74 | 16 | 0 | 4 | .216 | .272 | .243 | .515 | |
|
Last 30 Days | 74 | 16 | 0 | 4 | .216 | .272 | .243 | .515 | |
 |
September | 91 | 18 | 0 | 8 | .198 | .229 | .286 | .515 | |
  |
September | 84 | 14 | 1 | 9 | .167 | .253 | .262 | .515 | |
 |
April | 80 | 14 | 2 | 14 | .175 | .214 | .300 | .514 | |
|
August | 112 | 24 | 1 | 5 | .214 | .246 | .268 | .514 | |
|
September | 75 | 14 | 0 | 7 | .187 | .274 | .240 | .514 | |
|
September | 46 | 9 | 0 | 1 | .196 | .275 | .239 | .514 | |
|
June | 49 | 7 | 1 | 4 | .143 | .208 | .306 | .514 | |
|
April | 52 | 10 | 0 | 2 | .192 | .263 | .250 | .513 | |
|
Last 15 Days | 19 | 4 | 0 | 0 | .211 | .250 | .263 | .513 | |
|
September | 71 | 13 | 2 | 10 | .183 | .216 | .296 | .512 | |
|
Last 30 Days | 75 | 14 | 2 | 10 | .187 | .218 | .293 | .511 | |
 |
June | 45 | 8 | 0 | 6 | .178 | .288 | .222 | .511 | |
 |
September | 71 | 10 | 4 | 6 | .141 | .187 | .324 | .511 | |
|
May | 79 | 15 | 2 | 8 | .190 | .207 | .304 | .511 | |
|
April | 27 | 5 | 0 | 2 | .185 | .214 | .296 | .511 | |
 |
July | 55 | 10 | 1 | 2 | .182 | .237 | .273 | .510 | |
|
Last 15 Days | 38 | 6 | 1 | 4 | .158 | .273 | .237 | .510 | |
|
Last 15 Days | 31 | 6 | 1 | 1 | .194 | .219 | .290 | .509 | |
|
June | 36 | 6 | 1 | 5 | .167 | .231 | .278 | .509 | |
|
August | 89 | 16 | 2 | 3 | .180 | .240 | .270 | .509 | |
|
September | 60 | 10 | 1 | 8 | .167 | .242 | .267 | .509 | |
|
June | 60 | 10 | 2 | 4 | .167 | .242 | .267 | .509 | |
|
April | 33 | 7 | 0 | 2 | .212 | .235 | .273 | .508 | |
|
August | 72 | 16 | 0 | 10 | .222 | .230 | .278 | .508 | |
|
Last 15 Days | 14 | 3 | 0 | 1 | .214 | .294 | .214 | .508 | |
|
April | 87 | 17 | 0 | 5 | .195 | .278 | .230 | .508 |
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.