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 | 72 | 21 | 3 | 8 | .292 | .386 | .528 | .913 | |
  |
September | 24 | 8 | 1 | 4 | .333 | .370 | .542 | .912 | |
  |
March | 14 | 4 | 0 | 1 | .286 | .412 | .500 | .912 | |
  |
May | 98 | 29 | 6 | 20 | .296 | .361 | .551 | .912 | |
  |
July | 54 | 17 | 2 | 8 | .315 | .431 | .481 | .912 | |
  |
June | 99 | 29 | 5 | 14 | .293 | .386 | .525 | .911 | |
  |
September | 98 | 32 | 6 | 17 | .327 | .340 | .571 | .911 | |
  |
July | 97 | 30 | 4 | 20 | .309 | .385 | .526 | .911 | |
  |
May | 63 | 23 | 1 | 13 | .365 | .403 | .508 | .911 | |
  |
Last 30 Days | 88 | 23 | 8 | 22 | .261 | .320 | .591 | .910 | |
  |
July | 65 | 21 | 2 | 7 | .323 | .447 | .462 | .909 | |
|
June | 79 | 25 | 3 | 10 | .316 | .415 | .494 | .909 | |
|
April | 38 | 13 | 0 | 6 | .342 | .409 | .500 | .909 | |
  |
April | 95 | 29 | 1 | 9 | .305 | .446 | .463 | .909 | |
|
Last 7 Days | 15 | 5 | 1 | 3 | .333 | .375 | .533 | .908 | |
  |
June | 50 | 14 | 4 | 11 | .280 | .327 | .580 | .907 | |
  |
Last 30 Days | 99 | 33 | 4 | 18 | .333 | .362 | .545 | .907 | |
|
May | 69 | 18 | 4 | 13 | .261 | .400 | .507 | .907 | |
  |
April | 105 | 34 | 4 | 8 | .324 | .383 | .524 | .906 | |
|
September | 73 | 22 | 4 | 11 | .301 | .358 | .548 | .906 | |
  |
Last 7 Days | 25 | 9 | 1 | 2 | .360 | .385 | .520 | .905 | |
  |
September | 94 | 25 | 7 | 16 | .266 | .352 | .553 | .905 | |
  |
Last 7 Days | 21 | 9 | 0 | 0 | .429 | .429 | .476 | .905 | |
|
March | 14 | 4 | 1 | 1 | .286 | .333 | .571 | .905 | |
  |
May | 106 | 31 | 4 | 21 | .292 | .377 | .528 | .905 |
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.