MLB Batting Splits 2026
Performance splits by handedness, home/away, and situational categories.
| Player | Team | Split | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|---|
  |
September | 81 | 14 | 5 | 12 | .173 | .303 | .383 | .686 | |
  |
Last 7 Days | 15 | 4 | 0 | 1 | .267 | .353 | .333 | .686 | |
  |
September | 98 | 24 | 2 | 7 | .245 | .308 | .378 | .686 | |
  |
March | 17 | 4 | 0 | 2 | .235 | .333 | .353 | .686 | |
  |
Last 7 Days | 15 | 4 | 0 | 0 | .267 | .353 | .333 | .686 | |
  |
July | 39 | 11 | 0 | 1 | .282 | .378 | .308 | .685 | |
|
April | 93 | 22 | 2 | 8 | .237 | .330 | .355 | .685 | |
  |
Last 30 Days | 10 | 2 | 0 | 0 | .200 | .385 | .300 | .685 | |
  |
April | 42 | 10 | 1 | 4 | .238 | .304 | .381 | .685 | |
  |
August | 53 | 15 | 0 | 7 | .283 | .345 | .340 | .684 | |
  |
March | 19 | 5 | 1 | 3 | .263 | .263 | .421 | .684 | |
  |
Last 15 Days | 31 | 8 | 0 | 3 | .258 | .361 | .323 | .684 | |
|
Last 30 Days | 53 | 13 | 0 | 6 | .245 | .344 | .340 | .684 | |
|
September | 44 | 12 | 0 | 2 | .273 | .319 | .364 | .683 | |
  |
March | 18 | 5 | 0 | 1 | .278 | .350 | .333 | .683 | |
  |
August | 44 | 12 | 1 | 4 | .273 | .319 | .364 | .683 | |
  |
September | 90 | 22 | 1 | 9 | .244 | .317 | .367 | .683 | |
|
June | 107 | 28 | 2 | 7 | .262 | .328 | .355 | .683 | |
  |
Last 15 Days | 13 | 3 | 0 | 1 | .231 | .375 | .308 | .683 | |
  |
April | 18 | 5 | 0 | 0 | .278 | .350 | .333 | .683 | |
|
April | 97 | 23 | 3 | 11 | .237 | .302 | .381 | .683 | |
|
Last 30 Days | 29 | 6 | 2 | 4 | .207 | .233 | .448 | .682 | |
|
Last 15 Days | 40 | 6 | 1 | 3 | .150 | .382 | .300 | .682 | |
  |
July | 64 | 17 | 0 | 8 | .266 | .338 | .344 | .682 | |
|
April | 70 | 17 | 2 | 7 | .243 | .325 | .357 | .682 |
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.