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 | 20 | 3 | 1 | 2 | .150 | .227 | .300 | .527 | |
 |
May | 30 | 6 | 0 | 1 | .200 | .294 | .233 | .527 | |
 |
April | 77 | 14 | 2 | 7 | .182 | .229 | .299 | .528 | |
 |
May | 50 | 6 | 2 | 5 | .120 | .228 | .300 | .528 | |
 |
Last 15 Days | 33 | 7 | 0 | 2 | .212 | .316 | .212 | .528 | |
 |
Last 15 Days | 30 | 5 | 1 | 2 | .167 | .265 | .267 | .531 | |
 |
June | 80 | 12 | 3 | 6 | .150 | .245 | .288 | .532 | |
|
Last 15 Days | 36 | 7 | 0 | 2 | .194 | .310 | .222 | .532 | |
 |
Last 15 Days | 20 | 4 | 0 | 0 | .200 | .333 | .200 | .533 | |
 |
March | 15 | 2 | 1 | 3 | .133 | .133 | .400 | .533 | |
|
September | 59 | 13 | 0 | 2 | .220 | .246 | .288 | .534 | |
|
Last 30 Days | 73 | 11 | 4 | 7 | .151 | .205 | .329 | .534 | |
 |
Last 30 Days | 58 | 13 | 1 | 6 | .224 | .224 | .310 | .534 | |
 |
July | 39 | 9 | 0 | 4 | .231 | .279 | .256 | .535 | |
|
March | 16 | 2 | 1 | 1 | .125 | .222 | .313 | .535 | |
  |
July | 80 | 16 | 1 | 5 | .200 | .247 | .288 | .535 | |
|
June | 76 | 16 | 1 | 3 | .211 | .259 | .276 | .536 | |
 |
Last 15 Days | 44 | 9 | 1 | 7 | .205 | .217 | .318 | .536 | |
|
Last 30 Days | 45 | 8 | 0 | 3 | .178 | .315 | .222 | .537 | |
|
September | 42 | 8 | 0 | 5 | .190 | .300 | .238 | .538 | |
|
Last 30 Days | 58 | 13 | 0 | 2 | .224 | .297 | .241 | .538 | |
|
Last 30 Days | 46 | 8 | 1 | 2 | .174 | .255 | .283 | .538 | |
|
June | 25 | 3 | 1 | 4 | .120 | .258 | .280 | .538 | |
|
Last 30 Days | 27 | 5 | 1 | 3 | .185 | .241 | .296 | .538 | |
|
August | 26 | 6 | 0 | 0 | .231 | .231 | .308 | .538 | |
|
September | 27 | 5 | 1 | 3 | .185 | .241 | .296 | .538 | |
|
Last 15 Days | 27 | 5 | 1 | 3 | .185 | .241 | .296 | .538 | |
 |
Last 30 Days | 80 | 17 | 1 | 1 | .213 | .276 | .263 | .538 | |
|
September | 46 | 8 | 1 | 2 | .174 | .255 | .283 | .538 | |
|
April | 11 | 2 | 0 | 0 | .182 | .357 | .182 | .539 | |
|
Last 30 Days | 38 | 8 | 0 | 0 | .211 | .302 | .237 | .539 | |
|
Last 15 Days | 28 | 6 | 0 | 1 | .214 | .290 | .250 | .540 | |
|
April | 86 | 16 | 0 | 3 | .186 | .297 | .244 | .541 | |
|
May | 25 | 5 | 1 | 2 | .200 | .222 | .320 | .542 | |
|
April | 45 | 9 | 0 | 3 | .200 | .321 | .222 | .543 | |
|
May | 33 | 6 | 1 | 3 | .182 | .270 | .273 | .543 | |
|
September | 78 | 17 | 1 | 1 | .218 | .274 | .269 | .543 | |
|
March | 17 | 2 | 1 | 2 | .118 | .250 | .294 | .544 | |
|
August | 67 | 14 | 0 | 2 | .209 | .260 | .284 | .544 | |
|
Last 30 Days | 16 | 4 | 0 | 0 | .250 | .294 | .250 | .544 | |
|
May | 98 | 19 | 1 | 7 | .194 | .269 | .276 | .544 | |
|
September | 57 | 13 | 1 | 6 | .228 | .228 | .316 | .544 | |
|
Last 30 Days | 56 | 13 | 0 | 0 | .232 | .259 | .286 | .544 | |
|
April | 11 | 3 | 0 | 2 | .273 | .273 | .273 | .545 | |
|
August | 22 | 4 | 1 | 4 | .182 | .182 | .364 | .545 | |
|
August | 49 | 9 | 1 | 3 | .184 | .259 | .286 | .545 | |
|
April | 33 | 6 | 0 | 1 | .182 | .243 | .303 | .546 | |
 |
Last 7 Days | 20 | 3 | 0 | 1 | .150 | .346 | .200 | .546 | |
 |
April | 62 | 15 | 0 | 3 | .242 | .273 | .274 | .547 | |
  |
Last 30 Days | 88 | 16 | 1 | 9 | .182 | .263 | .284 | .547 |
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.