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 | 61 | 15 | 5 | 17 | .246 | .324 | .541 | .865 | |
  |
Last 15 Days | 41 | 10 | 4 | 7 | .244 | .304 | .561 | .865 | |
  |
June | 110 | 35 | 4 | 15 | .318 | .356 | .509 | .865 | |
  |
Last 30 Days | 82 | 22 | 5 | 24 | .268 | .340 | .524 | .865 | |
|
August | 108 | 29 | 7 | 22 | .269 | .328 | .537 | .865 | |
|
June | 91 | 29 | 3 | 13 | .319 | .392 | .473 | .865 | |
  |
April | 65 | 19 | 2 | 17 | .292 | .403 | .462 | .864 | |
  |
March | 22 | 7 | 1 | 5 | .318 | .318 | .545 | .864 | |
  |
August | 100 | 29 | 3 | 21 | .290 | .354 | .510 | .864 | |
  |
Last 7 Days | 10 | 3 | 0 | 2 | .300 | .364 | .500 | .864 | |
|
Last 7 Days | 17 | 5 | 1 | 3 | .294 | .333 | .529 | .863 | |
|
July | 91 | 22 | 8 | 14 | .242 | .314 | .549 | .863 | |
  |
May | 76 | 23 | 2 | 11 | .303 | .376 | .487 | .863 | |
  |
April | 33 | 11 | 1 | 5 | .333 | .378 | .485 | .863 | |
  |
September | 81 | 25 | 4 | 15 | .309 | .380 | .481 | .862 | |
|
Last 15 Days | 35 | 12 | 0 | 6 | .343 | .405 | .457 | .862 | |
  |
September | 97 | 29 | 3 | 16 | .299 | .367 | .495 | .862 | |
|
Last 30 Days | 31 | 9 | 1 | 6 | .290 | .378 | .484 | .862 | |
|
Last 15 Days | 38 | 11 | 2 | 8 | .289 | .310 | .553 | .862 | |
  |
June | 56 | 19 | 1 | 6 | .339 | .362 | .500 | .862 | |
  |
Last 7 Days | 10 | 3 | 0 | 0 | .300 | .462 | .400 | .862 | |
|
April | 82 | 25 | 5 | 17 | .305 | .348 | .512 | .861 | |
|
July | 93 | 24 | 6 | 17 | .258 | .355 | .505 | .861 | |
|
May | 77 | 20 | 5 | 11 | .260 | .394 | .468 | .861 | |
|
August | 61 | 18 | 2 | 10 | .295 | .386 | .475 | .861 |
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.