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 | 35 | 7 | 1 | 2 | .200 | .222 | .286 | .508 | |
 |
April | 99 | 17 | 3 | 14 | .172 | .224 | .283 | .507 | |
 |
Last 15 Days | 48 | 9 | 1 | 1 | .188 | .235 | .271 | .506 | |
 |
June | 76 | 14 | 2 | 5 | .184 | .215 | .289 | .505 | |
 |
July | 17 | 2 | 1 | 1 | .118 | .211 | .294 | .505 | |
 |
Last 30 Days | 83 | 13 | 2 | 7 | .157 | .213 | .289 | .503 | |
 |
September | 94 | 18 | 2 | 9 | .191 | .214 | .287 | .502 | |
 |
August | 60 | 8 | 2 | 9 | .133 | .235 | .267 | .502 | |
 |
July | 78 | 13 | 2 | 3 | .167 | .244 | .256 | .501 | |
 |
August | 36 | 5 | 1 | 4 | .139 | .279 | .222 | .501 | |
 |
September | 29 | 5 | 0 | 0 | .172 | .294 | .207 | .501 | |
|
Last 30 Days | 29 | 5 | 0 | 0 | .172 | .294 | .207 | .501 | |
 |
August | 39 | 6 | 1 | 4 | .154 | .244 | .256 | .501 | |
|
Last 7 Days | 22 | 5 | 0 | 0 | .227 | .227 | .273 | .500 | |
|
June | 64 | 10 | 2 | 8 | .156 | .203 | .297 | .500 | |
 |
Last 7 Days | 21 | 4 | 0 | 1 | .190 | .261 | .238 | .499 | |
|
Last 7 Days | 21 | 4 | 0 | 0 | .190 | .261 | .238 | .499 | |
|
July | 60 | 11 | 2 | 8 | .183 | .180 | .317 | .497 | |
|
April | 23 | 5 | 0 | 1 | .217 | .280 | .217 | .497 | |
|
Last 15 Days | 43 | 7 | 1 | 4 | .163 | .217 | .279 | .496 | |
|
June | 51 | 11 | 0 | 5 | .216 | .241 | .255 | .496 | |
|
Last 30 Days | 46 | 8 | 0 | 5 | .174 | .278 | .217 | .495 | |
 |
Last 30 Days | 71 | 14 | 0 | 3 | .197 | .284 | .211 | .495 | |
|
Last 7 Days | 15 | 3 | 0 | 1 | .200 | .294 | .200 | .494 | |
|
Last 7 Days | 15 | 3 | 0 | 0 | .200 | .294 | .200 | .494 | |
 |
July | 32 | 5 | 1 | 5 | .156 | .182 | .313 | .494 | |
|
May | 100 | 20 | 0 | 4 | .200 | .252 | .240 | .492 | |
|
August | 53 | 8 | 2 | 6 | .151 | .190 | .302 | .492 | |
|
Last 30 Days | 70 | 13 | 0 | 8 | .186 | .234 | .257 | .491 | |
|
September | 66 | 12 | 0 | 8 | .182 | .233 | .258 | .490 | |
 |
April | 24 | 6 | 0 | 3 | .250 | .240 | .250 | .490 | |
 |
July | 11 | 2 | 0 | 1 | .182 | .308 | .182 | .490 | |
|
May | 75 | 12 | 2 | 3 | .160 | .222 | .267 | .489 | |
|
Last 30 Days | 98 | 18 | 2 | 9 | .184 | .214 | .276 | .489 | |
|
June | 71 | 11 | 3 | 7 | .155 | .178 | .310 | .488 | |
|
July | 87 | 17 | 0 | 6 | .195 | .222 | .264 | .487 | |
|
Last 15 Days | 33 | 6 | 1 | 4 | .182 | .182 | .303 | .485 | |
 |
Last 30 Days | 16 | 3 | 0 | 1 | .188 | .235 | .250 | .485 | |
|
April | 87 | 11 | 2 | 4 | .126 | .267 | .218 | .485 | |
|
April | 32 | 6 | 0 | 3 | .188 | .235 | .250 | .485 | |
|
April | 29 | 6 | 0 | 1 | .207 | .207 | .276 | .483 | |
|
Last 15 Days | 38 | 6 | 1 | 4 | .158 | .220 | .263 | .483 | |
|
Last 30 Days | 70 | 15 | 0 | 2 | .214 | .225 | .257 | .482 | |
|
April | 75 | 13 | 1 | 3 | .173 | .215 | .267 | .482 | |
|
September | 70 | 15 | 0 | 2 | .214 | .225 | .257 | .482 | |
|
May | 47 | 9 | 0 | 4 | .191 | .269 | .213 | .482 | |
|
September | 63 | 11 | 1 | 4 | .175 | .243 | .238 | .481 | |
|
March | 14 | 3 | 0 | 0 | .214 | .267 | .214 | .481 | |
  |
Last 15 Days | 14 | 3 | 0 | 0 | .214 | .267 | .214 | .481 | |
|
July | 85 | 17 | 1 | 10 | .200 | .209 | .271 | .480 |
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.