MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | Split | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▲ |
|---|---|---|---|---|---|---|---|---|---|---|
 |
July | 23 | 2 | 0 | 0 | .087 | .250 | .087 | .337 | |
 |
August | 46 | 5 | 0 | 3 | .109 | .163 | .174 | .337 | |
 |
Last 15 Days | 29 | 3 | 0 | 1 | .103 | .235 | .103 | .339 | |
 |
September | 14 | 2 | 0 | 0 | .143 | .200 | .143 | .343 | |
|
May | 17 | 2 | 0 | 1 | .118 | .167 | .176 | .343 | |
 |
April | 28 | 4 | 0 | 2 | .143 | .167 | .179 | .345 | |
 |
Last 15 Days | 16 | 2 | 0 | 1 | .125 | .222 | .125 | .347 | |
 |
July | 43 | 4 | 0 | 2 | .093 | .231 | .116 | .347 | |
 |
Last 7 Days | 23 | 2 | 1 | 1 | .087 | .087 | .261 | .348 | |
|
May | 11 | 1 | 0 | 0 | .091 | .167 | .182 | .348 | |
 |
June | 11 | 1 | 0 | 0 | .091 | .167 | .182 | .348 | |
|
April | 26 | 3 | 0 | 3 | .115 | .233 | .115 | .349 | |
  |
Last 15 Days | 10 | 1 | 0 | 0 | .100 | .250 | .100 | .350 | |
 |
Last 15 Days | 10 | 1 | 0 | 0 | .100 | .250 | .100 | .350 | |
 |
August | 20 | 2 | 0 | 0 | .100 | .250 | .100 | .350 | |
|
September | 10 | 1 | 0 | 0 | .100 | .250 | .100 | .350 | |
  |
Last 30 Days | 10 | 1 | 0 | 0 | .100 | .250 | .100 | .350 | |
 |
March | 12 | 1 | 0 | 0 | .083 | .267 | .083 | .350 | |
|
Last 7 Days | 10 | 1 | 0 | 0 | .100 | .250 | .100 | .350 | |
|
Last 30 Days | 10 | 1 | 0 | 0 | .100 | .250 | .100 | .350 | |
|
Last 7 Days | 10 | 1 | 0 | 0 | .100 | .250 | .100 | .350 | |
|
Last 7 Days | 10 | 1 | 0 | 0 | .100 | .250 | .100 | .350 | |
|
March | 17 | 3 | 0 | 0 | .176 | .176 | .176 | .353 | |
|
Last 7 Days | 17 | 3 | 0 | 0 | .176 | .176 | .176 | .353 | |
 |
Last 15 Days | 39 | 7 | 0 | 4 | .179 | .175 | .179 | .354 | |
|
May | 54 | 6 | 0 | 2 | .111 | .226 | .130 | .355 | |
|
Last 15 Days | 44 | 5 | 1 | 2 | .114 | .152 | .205 | .357 | |
|
September | 37 | 6 | 0 | 4 | .162 | .200 | .162 | .362 | |
|
Last 30 Days | 35 | 4 | 1 | 2 | .114 | .162 | .200 | .362 | |
|
August | 62 | 8 | 1 | 5 | .129 | .169 | .194 | .363 | |
|
Last 15 Days | 43 | 6 | 0 | 5 | .140 | .224 | .140 | .364 | |
|
May | 11 | 2 | 0 | 2 | .182 | .182 | .182 | .364 | |
|
June | 54 | 9 | 0 | 2 | .167 | .164 | .204 | .367 | |
 |
Last 7 Days | 24 | 4 | 0 | 0 | .167 | .200 | .167 | .367 | |
|
Last 7 Days | 13 | 2 | 0 | 3 | .154 | .214 | .154 | .368 | |
 |
July | 72 | 11 | 1 | 5 | .153 | .173 | .194 | .368 | |
|
April | 91 | 12 | 0 | 3 | .132 | .216 | .154 | .370 | |
|
March | 13 | 1 | 0 | 0 | .077 | .294 | .077 | .371 | |
 |
June | 18 | 2 | 0 | 1 | .111 | .261 | .111 | .372 | |
|
Last 30 Days | 41 | 7 | 0 | 4 | .171 | .205 | .171 | .375 | |
|
Last 7 Days | 18 | 3 | 0 | 0 | .167 | .211 | .167 | .377 | |
|
Last 15 Days | 18 | 3 | 0 | 3 | .167 | .211 | .167 | .377 | |
|
April | 23 | 2 | 1 | 2 | .087 | .160 | .217 | .377 | |
|
June | 18 | 3 | 0 | 0 | .167 | .211 | .167 | .377 | |
|
Last 30 Days | 50 | 7 | 0 | 0 | .140 | .218 | .160 | .378 | |
|
September | 50 | 7 | 0 | 0 | .140 | .218 | .160 | .378 | |
|
July | 31 | 5 | 0 | 1 | .161 | .188 | .194 | .381 | |
|
Last 15 Days | 52 | 9 | 0 | 4 | .173 | .189 | .192 | .381 | |
|
Last 15 Days | 13 | 1 | 1 | 4 | .077 | .077 | .308 | .385 | |
|
July | 13 | 1 | 1 | 2 | .077 | .077 | .308 | .385 |
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.