MLB Batting Splits 2026
Performance splits by handedness, home/away, and situational categories.
| Player | Team | Split | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|---|
  |
April | 81 | 20 | 5 | 9 | .247 | .378 | .494 | .871 | |
  |
Last 7 Days | 11 | 4 | 0 | 1 | .364 | .417 | .455 | .871 | |
  |
Last 30 Days | 47 | 15 | 2 | 9 | .319 | .360 | .511 | .871 | |
  |
Last 30 Days | 85 | 24 | 4 | 8 | .282 | .365 | .506 | .870 | |
  |
May | 110 | 32 | 5 | 11 | .291 | .361 | .509 | .870 | |
  |
Last 15 Days | 44 | 15 | 1 | 4 | .341 | .370 | .500 | .870 | |
  |
May | 104 | 30 | 8 | 19 | .288 | .312 | .558 | .870 | |
  |
May | 105 | 31 | 4 | 22 | .295 | .345 | .524 | .869 | |
  |
July | 46 | 15 | 1 | 5 | .326 | .456 | .413 | .869 | |
|
June | 27 | 8 | 1 | 6 | .296 | .387 | .481 | .869 | |
  |
September | 25 | 6 | 2 | 5 | .240 | .269 | .600 | .869 | |
  |
June | 64 | 20 | 2 | 8 | .313 | .400 | .469 | .869 | |
  |
April | 97 | 24 | 6 | 12 | .247 | .383 | .485 | .868 | |
  |
June | 27 | 7 | 3 | 4 | .259 | .276 | .593 | .868 | |
|
August | 92 | 30 | 3 | 16 | .326 | .367 | .500 | .867 | |
|
Last 30 Days | 88 | 29 | 2 | 14 | .330 | .390 | .477 | .867 | |
|
May | 104 | 29 | 3 | 10 | .279 | .367 | .500 | .867 | |
|
April | 72 | 19 | 4 | 12 | .264 | .312 | .556 | .867 | |
|
August | 53 | 14 | 3 | 7 | .264 | .339 | .528 | .867 | |
  |
Last 7 Days | 21 | 7 | 1 | 2 | .333 | .391 | .476 | .867 | |
  |
Last 30 Days | 87 | 22 | 6 | 13 | .253 | .350 | .517 | .867 | |
  |
May | 100 | 25 | 7 | 19 | .250 | .356 | .510 | .866 | |
|
July | 102 | 25 | 7 | 14 | .245 | .336 | .529 | .866 | |
|
June | 69 | 22 | 1 | 12 | .319 | .402 | .464 | .866 | |
  |
Last 15 Days | 41 | 10 | 4 | 7 | .244 | .304 | .561 | .865 |
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.