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 | 33 | 8 | 2 | 6 | .242 | .366 | .515 | .881 | |
  |
August | 115 | 35 | 8 | 21 | .304 | .349 | .530 | .880 | |
  |
Last 30 Days | 85 | 22 | 6 | 15 | .259 | .351 | .529 | .880 | |
  |
Last 15 Days | 51 | 17 | 1 | 6 | .333 | .370 | .510 | .880 | |
  |
Last 15 Days | 33 | 11 | 1 | 7 | .333 | .395 | .485 | .880 | |
  |
Last 30 Days | 71 | 25 | 2 | 9 | .352 | .387 | .493 | .880 | |
  |
May | 115 | 30 | 9 | 22 | .261 | .331 | .548 | .879 | |
  |
Last 7 Days | 17 | 5 | 1 | 4 | .294 | .350 | .529 | .879 | |
  |
September | 87 | 27 | 1 | 11 | .310 | .408 | .471 | .879 | |
  |
Last 30 Days | 88 | 28 | 4 | 15 | .318 | .390 | .489 | .879 | |
|
Last 30 Days | 11 | 4 | 0 | 2 | .364 | .333 | .545 | .879 | |
|
May | 109 | 29 | 8 | 25 | .266 | .319 | .560 | .879 | |
|
July | 11 | 4 | 0 | 2 | .364 | .333 | .545 | .879 | |
|
June | 69 | 24 | 0 | 13 | .348 | .416 | .464 | .879 | |
  |
March | 17 | 5 | 1 | 6 | .294 | .350 | .529 | .879 | |
  |
Last 7 Days | 16 | 3 | 2 | 5 | .188 | .316 | .563 | .878 | |
|
August | 27 | 10 | 0 | 4 | .370 | .433 | .444 | .878 | |
|
July | 62 | 18 | 4 | 13 | .290 | .362 | .516 | .878 | |
|
September | 78 | 21 | 5 | 8 | .269 | .352 | .526 | .878 | |
  |
June | 88 | 27 | 5 | 14 | .307 | .344 | .534 | .878 | |
  |
July | 87 | 24 | 6 | 16 | .276 | .327 | .552 | .878 | |
  |
April | 54 | 15 | 4 | 12 | .278 | .322 | .556 | .878 | |
  |
August | 62 | 17 | 5 | 13 | .274 | .313 | .565 | .878 | |
  |
August | 82 | 16 | 9 | 15 | .195 | .340 | .537 | .877 | |
  |
June | 94 | 26 | 5 | 21 | .277 | .377 | .500 | .877 |
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.