MLB Batting Splits 2026
Performance splits by handedness, home/away, and situational categories.
| Player | Team | Split | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|---|
  |
June | 93 | 25 | 7 | 20 | .269 | .352 | .581 | .933 | |
  |
April | 82 | 27 | 5 | 17 | .329 | .371 | .561 | .932 | |
  |
August | 103 | 32 | 6 | 29 | .311 | .388 | .544 | .932 | |
  |
Last 30 Days | 54 | 12 | 6 | 11 | .222 | .377 | .556 | .932 | |
  |
Last 7 Days | 26 | 9 | 0 | 3 | .346 | .393 | .538 | .931 | |
  |
March | 20 | 7 | 1 | 2 | .350 | .381 | .550 | .931 | |
  |
Last 30 Days | 79 | 21 | 6 | 15 | .266 | .348 | .582 | .931 | |
  |
July | 68 | 21 | 3 | 9 | .309 | .356 | .574 | .930 | |
  |
September | 84 | 22 | 8 | 22 | .262 | .323 | .607 | .930 | |
|
June | 100 | 25 | 9 | 23 | .250 | .380 | .550 | .930 | |
  |
September | 34 | 9 | 3 | 11 | .265 | .342 | .588 | .930 | |
|
Last 30 Days | 34 | 9 | 3 | 11 | .265 | .342 | .588 | .930 | |
  |
April | 92 | 28 | 4 | 14 | .304 | .418 | .511 | .929 | |
|
Last 15 Days | 24 | 7 | 2 | 7 | .292 | .346 | .583 | .929 | |
  |
June | 84 | 24 | 4 | 10 | .286 | .429 | .500 | .929 | |
  |
July | 42 | 14 | 2 | 4 | .333 | .404 | .524 | .928 | |
|
Last 7 Days | 13 | 5 | 0 | 1 | .385 | .467 | .462 | .928 | |
  |
May | 94 | 27 | 5 | 14 | .287 | .397 | .532 | .928 | |
  |
August | 103 | 28 | 8 | 18 | .272 | .375 | .553 | .928 | |
  |
July | 62 | 16 | 4 | 10 | .258 | .395 | .532 | .927 | |
|
July | 71 | 23 | 2 | 15 | .324 | .378 | .549 | .927 | |
|
July | 33 | 10 | 3 | 8 | .303 | .351 | .576 | .927 | |
  |
March | 18 | 5 | 2 | 3 | .278 | .316 | .611 | .927 | |
  |
September | 32 | 10 | 2 | 4 | .313 | .333 | .594 | .927 | |
  |
July | 94 | 34 | 2 | 19 | .362 | .438 | .489 | .927 |
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.