MLB Batting Splits 2026
Performance splits by handedness, home/away, and situational categories.
| Player | Team | Split | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|---|
  |
July | 42 | 14 | 1 | 8 | .333 | .453 | .524 | .977 | |
  |
August | 80 | 29 | 2 | 9 | .363 | .440 | .538 | .977 | |
  |
May | 49 | 17 | 3 | 8 | .347 | .385 | .592 | .976 | |
  |
June | 75 | 19 | 6 | 17 | .253 | .429 | .547 | .975 | |
  |
June | 95 | 29 | 8 | 16 | .305 | .417 | .558 | .975 | |
  |
April | 42 | 13 | 3 | 8 | .310 | .356 | .619 | .975 | |
  |
September | 89 | 28 | 5 | 21 | .315 | .390 | .584 | .974 | |
|
June | 25 | 8 | 1 | 4 | .320 | .414 | .560 | .974 | |
|
Last 30 Days | 89 | 28 | 5 | 21 | .315 | .390 | .584 | .974 | |
  |
April | 80 | 24 | 3 | 11 | .300 | .411 | .563 | .973 | |
  |
Last 30 Days | 84 | 30 | 3 | 12 | .357 | .438 | .536 | .973 | |
  |
June | 104 | 35 | 5 | 17 | .337 | .425 | .548 | .973 | |
|
July | 59 | 19 | 3 | 8 | .322 | .379 | .593 | .972 | |
  |
August | 104 | 29 | 7 | 17 | .279 | .384 | .587 | .971 | |
  |
March | 14 | 5 | 0 | 3 | .357 | .471 | .500 | .971 | |
  |
Last 7 Days | 14 | 5 | 1 | 3 | .357 | .400 | .571 | .971 | |
  |
Last 30 Days | 87 | 31 | 4 | 12 | .356 | .385 | .586 | .971 | |
|
April | 89 | 21 | 8 | 18 | .236 | .409 | .562 | .970 | |
|
Last 15 Days | 47 | 16 | 2 | 13 | .340 | .415 | .553 | .968 | |
  |
March | 14 | 6 | 0 | 5 | .429 | .467 | .500 | .967 | |
  |
Last 30 Days | 65 | 21 | 4 | 14 | .323 | .352 | .615 | .967 | |
  |
Last 7 Days | 21 | 6 | 2 | 5 | .286 | .348 | .619 | .967 | |
|
June | 63 | 21 | 1 | 16 | .333 | .427 | .540 | .966 | |
  |
April | 77 | 25 | 4 | 13 | .325 | .369 | .597 | .966 | |
  |
May | 89 | 29 | 4 | 16 | .326 | .415 | .551 | .966 |
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.