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 | 79 | 18 | 5 | 17 | .228 | .287 | .430 | .718 | |
  |
March | 12 | 4 | 0 | 0 | .333 | .385 | .333 | .718 | |
  |
Last 7 Days | 22 | 7 | 0 | 0 | .318 | .400 | .318 | .718 | |
  |
Last 30 Days | 85 | 23 | 2 | 10 | .271 | .330 | .388 | .718 | |
  |
September | 42 | 10 | 1 | 5 | .238 | .289 | .429 | .717 | |
  |
May | 91 | 21 | 3 | 11 | .231 | .355 | .363 | .717 | |
|
April | 100 | 28 | 0 | 10 | .280 | .357 | .360 | .717 | |
  |
Last 15 Days | 15 | 3 | 1 | 1 | .200 | .250 | .467 | .717 | |
  |
June | 51 | 13 | 1 | 13 | .255 | .305 | .412 | .717 | |
|
Last 30 Days | 42 | 10 | 1 | 5 | .238 | .289 | .429 | .717 | |
|
April | 103 | 28 | 1 | 9 | .272 | .367 | .350 | .716 | |
|
June | 90 | 26 | 2 | 6 | .289 | .316 | .400 | .716 | |
  |
Last 30 Days | 63 | 16 | 3 | 10 | .254 | .288 | .429 | .716 | |
  |
Last 30 Days | 114 | 23 | 8 | 16 | .202 | .278 | .439 | .716 | |
  |
May | 64 | 15 | 3 | 7 | .234 | .310 | .406 | .716 | |
  |
September | 77 | 20 | 1 | 9 | .260 | .352 | .364 | .716 | |
|
Last 15 Days | 15 | 2 | 1 | 2 | .133 | .316 | .400 | .716 | |
|
July | 39 | 12 | 0 | 2 | .308 | .357 | .359 | .716 | |
|
August | 88 | 21 | 4 | 17 | .239 | .284 | .432 | .716 | |
  |
Last 15 Days | 47 | 14 | 0 | 0 | .298 | .353 | .362 | .715 | |
|
April | 79 | 21 | 0 | 8 | .266 | .348 | .367 | .715 | |
|
September | 50 | 15 | 0 | 4 | .300 | .375 | .340 | .715 | |
|
June | 106 | 28 | 2 | 12 | .264 | .310 | .406 | .715 | |
|
September | 30 | 8 | 0 | 5 | .267 | .281 | .433 | .715 | |
|
September | 78 | 21 | 2 | 7 | .269 | .305 | .410 | .715 |
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.