MLB Batting Splits 2026
Performance splits by handedness, home/away, and situational categories.
| Player | Team | Split | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|---|
  |
Last 30 Days | 93 | 24 | 4 | 12 | .258 | .395 | .452 | .846 | |
  |
Last 15 Days | 30 | 8 | 2 | 5 | .267 | .313 | .533 | .846 | |
  |
Last 30 Days | 106 | 34 | 3 | 12 | .321 | .365 | .481 | .846 | |
  |
Last 15 Days | 22 | 5 | 2 | 3 | .227 | .346 | .500 | .846 | |
  |
Last 7 Days | 15 | 4 | 1 | 4 | .267 | .313 | .533 | .846 | |
  |
Last 15 Days | 39 | 11 | 2 | 3 | .282 | .333 | .513 | .846 | |
  |
Last 15 Days | 15 | 4 | 1 | 3 | .267 | .313 | .533 | .846 | |
  |
June | 75 | 19 | 5 | 12 | .253 | .352 | .493 | .846 | |
  |
March | 12 | 4 | 0 | 0 | .333 | .429 | .417 | .845 | |
  |
Last 30 Days | 30 | 7 | 2 | 6 | .233 | .378 | .467 | .845 | |
|
August | 66 | 18 | 5 | 9 | .273 | .300 | .545 | .845 | |
  |
September | 64 | 17 | 4 | 9 | .266 | .299 | .547 | .845 | |
|
May | 77 | 20 | 2 | 10 | .260 | .389 | .455 | .844 | |
  |
September | 82 | 21 | 5 | 14 | .256 | .344 | .500 | .844 | |
  |
Last 15 Days | 34 | 10 | 2 | 2 | .294 | .314 | .529 | .844 | |
|
July | 109 | 33 | 5 | 19 | .303 | .321 | .523 | .844 | |
  |
August | 110 | 31 | 7 | 21 | .282 | .352 | .491 | .843 | |
|
July | 84 | 24 | 4 | 13 | .286 | .355 | .488 | .843 | |
|
June | 96 | 29 | 5 | 16 | .302 | .364 | .479 | .843 | |
|
July | 55 | 12 | 4 | 13 | .218 | .405 | .436 | .842 | |
  |
Last 30 Days | 59 | 19 | 0 | 9 | .322 | .385 | .458 | .842 | |
|
May | 15 | 5 | 0 | 0 | .333 | .375 | .467 | .842 | |
  |
August | 70 | 20 | 4 | 14 | .286 | .342 | .500 | .842 | |
  |
Last 15 Days | 49 | 14 | 3 | 6 | .286 | .352 | .490 | .842 | |
  |
August | 93 | 27 | 5 | 12 | .290 | .337 | .505 | .842 |
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.