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 | 31 | 6 | 0 | 1 | .194 | .242 | .194 | .436 | |
 |
August | 37 | 5 | 0 | 2 | .135 | .220 | .216 | .436 | |
 |
March | 15 | 3 | 0 | 3 | .200 | .235 | .200 | .435 | |
|
June | 55 | 8 | 0 | 4 | .145 | .288 | .145 | .433 | |
 |
June | 11 | 2 | 0 | 1 | .182 | .250 | .182 | .432 | |
 |
Last 7 Days | 25 | 4 | 0 | 2 | .160 | .192 | .240 | .432 | |
 |
Last 7 Days | 11 | 2 | 0 | 0 | .182 | .250 | .182 | .432 | |
 |
Last 7 Days | 11 | 2 | 0 | 0 | .182 | .250 | .182 | .432 | |
  |
Last 7 Days | 19 | 3 | 0 | 0 | .158 | .273 | .158 | .431 | |
 |
March | 19 | 3 | 0 | 1 | .158 | .273 | .158 | .431 | |
 |
June | 93 | 14 | 1 | 6 | .151 | .184 | .247 | .431 | |
|
Last 15 Days | 27 | 5 | 0 | 3 | .185 | .207 | .222 | .429 | |
 |
Last 30 Days | 29 | 4 | 1 | 6 | .138 | .188 | .241 | .429 | |
|
May | 14 | 3 | 0 | 1 | .214 | .214 | .214 | .429 | |
 |
June | 95 | 15 | 1 | 12 | .158 | .208 | .221 | .429 | |
|
April | 23 | 3 | 1 | 2 | .130 | .167 | .261 | .428 | |
|
July | 61 | 11 | 1 | 5 | .180 | .180 | .246 | .426 | |
 |
Last 7 Days | 23 | 4 | 0 | 1 | .174 | .208 | .217 | .426 | |
|
September | 26 | 4 | 0 | 1 | .154 | .233 | .192 | .426 | |
|
June | 58 | 9 | 0 | 5 | .155 | .219 | .207 | .426 | |
|
August | 34 | 4 | 1 | 5 | .118 | .189 | .235 | .424 | |
|
April | 11 | 1 | 0 | 1 | .091 | .333 | .091 | .424 | |
|
April | 34 | 4 | 1 | 2 | .118 | .189 | .235 | .424 | |
 |
Last 7 Days | 16 | 3 | 0 | 2 | .188 | .235 | .188 | .423 | |
|
Last 30 Days | 46 | 6 | 1 | 4 | .130 | .226 | .196 | .422 | |
|
Last 15 Days | 15 | 2 | 0 | 1 | .133 | .222 | .200 | .422 | |
|
April | 62 | 9 | 1 | 5 | .145 | .229 | .194 | .422 | |
|
Last 7 Days | 13 | 2 | 0 | 0 | .154 | .267 | .154 | .421 | |
|
Last 15 Days | 19 | 3 | 0 | 1 | .158 | .158 | .263 | .421 | |
|
Last 7 Days | 19 | 3 | 0 | 1 | .158 | .261 | .158 | .419 | |
|
Last 7 Days | 12 | 1 | 1 | 2 | .083 | .083 | .333 | .417 | |
 |
Last 7 Days | 12 | 2 | 0 | 0 | .167 | .167 | .250 | .417 | |
 |
June | 12 | 2 | 0 | 1 | .167 | .167 | .250 | .417 | |
|
March | 12 | 1 | 1 | 2 | .083 | .083 | .333 | .417 | |
|
September | 12 | 2 | 0 | 1 | .167 | .167 | .250 | .417 | |
|
Last 30 Days | 36 | 7 | 0 | 2 | .194 | .194 | .222 | .417 | |
|
September | 36 | 7 | 0 | 2 | .194 | .194 | .222 | .417 | |
|
March | 12 | 1 | 0 | 2 | .083 | .250 | .167 | .417 | |
|
March | 12 | 2 | 0 | 1 | .167 | .167 | .250 | .417 | |
  |
Last 7 Days | 18 | 3 | 0 | 1 | .167 | .250 | .167 | .417 | |
|
Last 7 Days | 26 | 4 | 0 | 0 | .154 | .185 | .231 | .416 | |
|
Last 15 Days | 32 | 5 | 0 | 0 | .156 | .229 | .188 | .416 | |
|
April | 61 | 7 | 0 | 1 | .115 | .217 | .197 | .414 | |
|
September | 23 | 4 | 0 | 1 | .174 | .240 | .174 | .414 | |
|
Last 30 Days | 23 | 4 | 0 | 1 | .174 | .240 | .174 | .414 | |
|
September | 45 | 7 | 1 | 3 | .156 | .191 | .222 | .414 | |
|
Last 15 Days | 28 | 4 | 0 | 1 | .143 | .200 | .214 | .414 | |
|
August | 44 | 5 | 0 | 3 | .114 | .231 | .182 | .413 | |
|
Last 7 Days | 17 | 3 | 0 | 0 | .176 | .176 | .235 | .412 | |
|
Last 15 Days | 24 | 3 | 1 | 2 | .125 | .160 | .250 | .410 |
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.