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 | 24 | 2 | 0 | 1 | .083 | .179 | .083 | .262 | |
 |
Last 15 Days | 36 | 3 | 0 | 0 | .083 | .154 | .111 | .265 | |
 |
June | 15 | 2 | 0 | 0 | .133 | .133 | .133 | .267 | |
|
July | 37 | 5 | 0 | 0 | .135 | .135 | .135 | .270 | |
 |
March | 18 | 2 | 0 | 1 | .111 | .105 | .167 | .272 | |
  |
Last 7 Days | 22 | 3 | 0 | 0 | .136 | .136 | .136 | .273 | |
 |
Last 7 Days | 22 | 3 | 0 | 0 | .136 | .136 | .136 | .273 | |
|
Last 15 Days | 13 | 1 | 0 | 0 | .077 | .200 | .077 | .277 | |
|
June | 13 | 1 | 0 | 0 | .077 | .200 | .077 | .277 | |
  |
September | 10 | 1 | 0 | 0 | .100 | .182 | .100 | .282 | |
 |
Last 7 Days | 10 | 1 | 0 | 0 | .100 | .182 | .100 | .282 | |
 |
May | 28 | 2 | 1 | 1 | .071 | .103 | .179 | .282 | |
|
March | 10 | 1 | 0 | 1 | .100 | .182 | .100 | .282 | |
 |
Last 7 Days | 10 | 1 | 0 | 0 | .100 | .182 | .100 | .282 | |
 |
July | 17 | 2 | 0 | 2 | .118 | .167 | .118 | .284 | |
 |
Last 7 Days | 14 | 2 | 0 | 1 | .143 | .143 | .143 | .286 | |
|
Last 7 Days | 14 | 2 | 0 | 0 | .143 | .143 | .143 | .286 | |
|
Last 7 Days | 16 | 2 | 0 | 2 | .125 | .167 | .125 | .292 | |
|
Last 7 Days | 16 | 1 | 0 | 1 | .063 | .167 | .125 | .292 | |
|
Last 15 Days | 27 | 2 | 1 | 3 | .074 | .107 | .185 | .292 | |
|
Last 7 Days | 19 | 2 | 0 | 1 | .105 | .190 | .105 | .296 | |
 |
Last 7 Days | 23 | 3 | 0 | 1 | .130 | .167 | .130 | .297 | |
|
July | 12 | 1 | 0 | 0 | .083 | .214 | .083 | .298 | |
|
Last 15 Days | 10 | 1 | 0 | 2 | .100 | .100 | .200 | .300 | |
|
August | 20 | 2 | 0 | 1 | .100 | .100 | .200 | .300 | |
|
July | 35 | 4 | 0 | 1 | .114 | .158 | .143 | .301 | |
|
May | 25 | 3 | 0 | 1 | .120 | .185 | .120 | .305 | |
|
Last 15 Days | 30 | 3 | 0 | 1 | .100 | .206 | .100 | .306 | |
 |
Last 7 Days | 14 | 1 | 0 | 0 | .071 | .235 | .071 | .307 | |
 |
Last 7 Days | 12 | 1 | 0 | 1 | .083 | .143 | .167 | .310 | |
|
March | 15 | 2 | 0 | 1 | .133 | .176 | .133 | .310 | |
|
June | 42 | 5 | 0 | 3 | .119 | .196 | .119 | .315 | |
|
May | 13 | 0 | 0 | 0 | .000 | .316 | .000 | .316 | |
|
June | 22 | 3 | 0 | 0 | .136 | .136 | .182 | .318 | |
 |
Last 7 Days | 15 | 2 | 0 | 0 | .133 | .188 | .133 | .321 | |
|
Last 7 Days | 15 | 2 | 0 | 0 | .133 | .188 | .133 | .321 | |
|
May | 15 | 2 | 0 | 1 | .133 | .188 | .133 | .321 | |
|
May | 11 | 1 | 0 | 0 | .091 | .231 | .091 | .322 | |
|
April | 43 | 5 | 1 | 4 | .116 | .114 | .209 | .323 | |
|
September | 21 | 3 | 0 | 2 | .143 | .182 | .143 | .325 | |
|
Last 15 Days | 40 | 4 | 0 | 0 | .100 | .200 | .125 | .325 | |
|
September | 18 | 2 | 0 | 1 | .111 | .158 | .167 | .325 | |
 |
March | 13 | 1 | 0 | 1 | .077 | .250 | .077 | .327 | |
|
April | 24 | 2 | 1 | 2 | .083 | .120 | .208 | .328 | |
|
May | 15 | 1 | 0 | 0 | .067 | .263 | .067 | .330 | |
 |
April | 33 | 3 | 0 | 1 | .091 | .211 | .121 | .332 | |
|
August | 15 | 2 | 0 | 2 | .133 | .133 | .200 | .333 | |
|
March | 12 | 2 | 0 | 1 | .167 | .167 | .167 | .333 | |
|
Last 15 Days | 49 | 7 | 0 | 0 | .143 | .192 | .143 | .335 | |
 |
June | 38 | 4 | 0 | 2 | .105 | .205 | .132 | .336 |
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.