MLB Batting Splits 2026
Performance splits by handedness, home/away, and situational categories.
| Player | Team | Split | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|---|
  |
May | 90 | 22 | 6 | 15 | .244 | .343 | .478 | .821 | |
  |
March | 19 | 4 | 1 | 1 | .211 | .400 | .421 | .821 | |
  |
Last 15 Days | 52 | 15 | 2 | 5 | .288 | .339 | .481 | .820 | |
  |
Last 15 Days | 44 | 10 | 1 | 4 | .227 | .433 | .386 | .820 | |
  |
September | 77 | 20 | 3 | 8 | .260 | .352 | .468 | .820 | |
  |
July | 94 | 24 | 5 | 14 | .255 | .320 | .500 | .820 | |
  |
May | 98 | 30 | 2 | 9 | .306 | .361 | .459 | .820 | |
  |
August | 22 | 6 | 1 | 2 | .273 | .320 | .500 | .820 | |
  |
June | 68 | 18 | 5 | 9 | .265 | .306 | .515 | .820 | |
|
September | 30 | 8 | 1 | 4 | .267 | .353 | .467 | .820 | |
  |
September | 13 | 4 | 0 | 0 | .308 | .357 | .462 | .819 | |
|
Last 15 Days | 13 | 4 | 0 | 0 | .308 | .357 | .462 | .819 | |
  |
September | 92 | 29 | 1 | 5 | .315 | .406 | .413 | .819 | |
  |
August | 95 | 27 | 2 | 11 | .284 | .409 | .411 | .819 | |
  |
Last 15 Days | 23 | 8 | 0 | 2 | .348 | .385 | .435 | .819 | |
|
March | 18 | 5 | 1 | 3 | .278 | .263 | .556 | .819 | |
|
Last 30 Days | 13 | 4 | 0 | 0 | .308 | .357 | .462 | .819 | |
  |
July | 73 | 20 | 4 | 10 | .274 | .312 | .507 | .819 | |
|
July | 92 | 27 | 4 | 9 | .293 | .374 | .446 | .819 | |
  |
August | 13 | 4 | 0 | 0 | .308 | .357 | .462 | .819 | |
  |
March | 11 | 3 | 1 | 2 | .273 | .273 | .545 | .818 | |
  |
Last 15 Days | 48 | 16 | 1 | 5 | .333 | .360 | .458 | .818 | |
|
April | 85 | 27 | 1 | 14 | .318 | .383 | .435 | .818 | |
  |
July | 51 | 12 | 4 | 7 | .235 | .328 | .490 | .818 | |
|
Last 30 Days | 29 | 7 | 2 | 5 | .241 | .267 | .552 | .818 |
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.