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 15 Days | 49 | 9 | 1 | 2 | .184 | .200 | .245 | .445 | |
 |
Last 7 Days | 13 | 2 | 0 | 0 | .154 | .214 | .231 | .445 | |
|
Last 7 Days | 17 | 2 | 0 | 1 | .118 | .211 | .235 | .446 | |
 |
August | 68 | 10 | 1 | 4 | .147 | .227 | .221 | .447 | |
|
August | 70 | 14 | 0 | 3 | .200 | .233 | .214 | .447 | |
 |
May | 75 | 14 | 0 | 4 | .187 | .235 | .213 | .448 | |
|
August | 56 | 11 | 0 | 5 | .196 | .233 | .214 | .448 | |
 |
April | 51 | 6 | 1 | 5 | .118 | .193 | .255 | .448 | |
|
April | 28 | 5 | 0 | 0 | .179 | .233 | .214 | .448 | |
|
Last 7 Days | 15 | 2 | 0 | 2 | .133 | .316 | .133 | .449 | |
|
April | 52 | 9 | 0 | 2 | .173 | .218 | .231 | .449 | |
|
Last 7 Days | 14 | 1 | 0 | 0 | .071 | .235 | .214 | .450 | |
|
September | 14 | 1 | 0 | 0 | .071 | .235 | .214 | .450 | |
|
Last 30 Days | 14 | 1 | 0 | 0 | .071 | .235 | .214 | .450 | |
 |
Last 7 Days | 15 | 3 | 0 | 0 | .200 | .250 | .200 | .450 | |
 |
Last 15 Days | 28 | 4 | 1 | 2 | .143 | .200 | .250 | .450 | |
|
Last 15 Days | 15 | 3 | 0 | 0 | .200 | .250 | .200 | .450 | |
|
Last 15 Days | 14 | 1 | 0 | 0 | .071 | .235 | .214 | .450 | |
|
August | 22 | 3 | 0 | 3 | .136 | .269 | .182 | .451 | |
|
July | 72 | 13 | 0 | 3 | .181 | .244 | .208 | .452 | |
|
July | 30 | 5 | 0 | 4 | .167 | .219 | .233 | .452 | |
 |
Last 30 Days | 63 | 8 | 2 | 6 | .127 | .214 | .238 | .452 | |
 |
March | 12 | 2 | 0 | 0 | .167 | .286 | .167 | .452 | |
 |
June | 50 | 9 | 0 | 4 | .180 | .214 | .240 | .454 | |
|
August | 19 | 2 | 1 | 1 | .105 | .190 | .263 | .454 | |
|
Last 15 Days | 33 | 7 | 0 | 0 | .212 | .212 | .242 | .455 | |
 |
April | 22 | 4 | 0 | 2 | .182 | .182 | .273 | .455 | |
|
Last 30 Days | 21 | 3 | 0 | 1 | .143 | .217 | .238 | .455 | |
|
September | 21 | 3 | 0 | 1 | .143 | .217 | .238 | .455 | |
|
July | 21 | 3 | 0 | 1 | .143 | .217 | .238 | .455 | |
  |
Last 30 Days | 28 | 6 | 0 | 2 | .214 | .207 | .250 | .457 | |
 |
April | 29 | 5 | 0 | 3 | .172 | .250 | .207 | .457 | |
|
September | 28 | 6 | 0 | 2 | .214 | .207 | .250 | .457 | |
|
May | 31 | 6 | 0 | 2 | .194 | .265 | .194 | .458 | |
 |
September | 42 | 6 | 1 | 3 | .143 | .245 | .214 | .459 | |
|
Last 15 Days | 30 | 5 | 1 | 2 | .167 | .194 | .267 | .460 | |
 |
Last 15 Days | 30 | 4 | 1 | 5 | .133 | .161 | .300 | .461 | |
 |
June | 89 | 14 | 2 | 4 | .157 | .202 | .258 | .461 | |
|
August | 32 | 4 | 1 | 2 | .125 | .243 | .219 | .462 | |
|
August | 52 | 7 | 1 | 2 | .135 | .250 | .212 | .462 | |
|
July | 68 | 13 | 0 | 7 | .191 | .257 | .206 | .463 | |
|
April | 96 | 16 | 2 | 9 | .167 | .214 | .250 | .464 | |
|
June | 84 | 12 | 2 | 4 | .143 | .226 | .238 | .464 | |
 |
August | 34 | 7 | 0 | 3 | .206 | .229 | .235 | .464 | |
|
April | 71 | 12 | 0 | 8 | .169 | .211 | .254 | .464 | |
 |
September | 16 | 3 | 0 | 1 | .188 | .278 | .188 | .465 | |
|
May | 21 | 4 | 0 | 0 | .190 | .227 | .238 | .465 | |
  |
July | 27 | 3 | 1 | 4 | .111 | .242 | .222 | .465 | |
|
July | 16 | 3 | 0 | 1 | .188 | .278 | .188 | .465 | |
|
Last 30 Days | 16 | 3 | 0 | 1 | .188 | .278 | .188 | .465 |
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.