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 | 75 | 19 | 3 | 11 | .253 | .329 | .467 | .796 | |
  |
August | 44 | 12 | 2 | 4 | .273 | .319 | .477 | .796 | |
  |
August | 90 | 29 | 2 | 14 | .322 | .340 | .456 | .796 | |
  |
Last 30 Days | 76 | 23 | 1 | 9 | .303 | .375 | .421 | .796 | |
  |
September | 75 | 16 | 5 | 9 | .213 | .330 | .467 | .796 | |
|
Last 30 Days | 80 | 18 | 5 | 11 | .225 | .333 | .463 | .796 | |
  |
Last 30 Days | 68 | 17 | 4 | 9 | .250 | .282 | .515 | .796 | |
  |
Last 7 Days | 14 | 5 | 0 | 1 | .357 | .438 | .357 | .795 | |
  |
March | 14 | 5 | 0 | 3 | .357 | .438 | .357 | .795 | |
|
May | 55 | 15 | 3 | 10 | .273 | .322 | .473 | .795 | |
  |
June | 76 | 25 | 1 | 11 | .329 | .414 | .382 | .795 | |
  |
August | 108 | 26 | 6 | 13 | .241 | .322 | .472 | .795 | |
  |
August | 43 | 10 | 2 | 5 | .233 | .353 | .442 | .795 | |
  |
June | 59 | 17 | 2 | 7 | .288 | .354 | .441 | .795 | |
  |
September | 11 | 2 | 1 | 3 | .182 | .250 | .545 | .795 | |
  |
August | 78 | 26 | 0 | 7 | .333 | .384 | .410 | .794 | |
|
Last 7 Days | 21 | 6 | 1 | 1 | .286 | .318 | .476 | .794 | |
|
Last 30 Days | 73 | 23 | 1 | 14 | .315 | .383 | .411 | .794 | |
  |
Last 30 Days | 84 | 23 | 4 | 16 | .274 | .330 | .464 | .794 | |
|
April | 96 | 26 | 3 | 13 | .271 | .346 | .448 | .794 | |
|
July | 98 | 26 | 4 | 22 | .265 | .314 | .480 | .794 | |
|
May | 26 | 7 | 0 | 2 | .269 | .486 | .308 | .794 | |
|
May | 16 | 4 | 1 | 4 | .250 | .294 | .500 | .794 | |
  |
April | 50 | 12 | 2 | 4 | .240 | .333 | .460 | .793 | |
  |
Last 30 Days | 54 | 13 | 3 | 7 | .241 | .293 | .500 | .793 |
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.