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 7 Days | 14 | 3 | 1 | 3 | .214 | .267 | .571 | .838 | |
  |
May | 13 | 3 | 1 | 1 | .231 | .375 | .462 | .837 | |
  |
Last 30 Days | 34 | 11 | 1 | 1 | .324 | .425 | .412 | .837 | |
  |
September | 97 | 29 | 1 | 13 | .299 | .352 | .485 | .837 | |
  |
September | 83 | 27 | 2 | 9 | .325 | .367 | .470 | .837 | |
  |
May | 29 | 7 | 2 | 4 | .241 | .353 | .483 | .836 | |
  |
July | 64 | 18 | 3 | 11 | .281 | .352 | .484 | .836 | |
  |
July | 89 | 25 | 4 | 15 | .281 | .375 | .461 | .836 | |
  |
Last 15 Days | 34 | 8 | 2 | 5 | .235 | .366 | .471 | .836 | |
  |
May | 57 | 16 | 3 | 14 | .281 | .344 | .491 | .835 | |
  |
August | 99 | 30 | 3 | 11 | .303 | .400 | .434 | .834 | |
|
Last 30 Days | 78 | 21 | 3 | 9 | .269 | .360 | .474 | .834 | |
  |
Last 7 Days | 12 | 3 | 1 | 1 | .250 | .250 | .583 | .833 | |
  |
May | 90 | 30 | 1 | 7 | .333 | .378 | .456 | .833 | |
|
March | 18 | 6 | 1 | 5 | .333 | .333 | .500 | .833 | |
  |
April | 49 | 14 | 1 | 5 | .286 | .364 | .469 | .833 | |
|
Last 7 Days | 18 | 6 | 1 | 5 | .333 | .333 | .500 | .833 | |
  |
Last 15 Days | 37 | 8 | 3 | 10 | .216 | .293 | .541 | .833 | |
  |
May | 22 | 6 | 1 | 3 | .273 | .333 | .500 | .833 | |
|
July | 20 | 6 | 1 | 2 | .300 | .333 | .500 | .833 | |
  |
June | 98 | 21 | 8 | 14 | .214 | .313 | .520 | .833 | |
|
Last 30 Days | 106 | 31 | 2 | 14 | .292 | .342 | .491 | .833 | |
|
September | 97 | 30 | 3 | 11 | .309 | .358 | .474 | .833 | |
  |
Last 7 Days | 20 | 7 | 0 | 3 | .350 | .381 | .450 | .831 | |
|
Last 30 Days | 83 | 26 | 0 | 12 | .313 | .422 | .410 | .831 |
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.