MLB Batting Splits 2026
Performance splits by handedness, home/away, and situational categories.
| Player | Team | Split | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|---|
  |
April | 84 | 18 | 6 | 21 | .214 | .330 | .476 | .806 | |
  |
April | 93 | 29 | 2 | 8 | .312 | .353 | .452 | .805 | |
  |
Last 30 Days | 102 | 26 | 6 | 15 | .255 | .325 | .480 | .805 | |
  |
April | 88 | 24 | 6 | 23 | .273 | .293 | .511 | .805 | |
  |
May | 103 | 25 | 5 | 18 | .243 | .368 | .437 | .805 | |
  |
July | 87 | 25 | 1 | 9 | .287 | .344 | .460 | .804 | |
  |
September | 78 | 25 | 0 | 8 | .321 | .393 | .410 | .804 | |
  |
March | 20 | 4 | 2 | 2 | .200 | .304 | .500 | .804 | |
  |
Last 15 Days | 52 | 16 | 1 | 9 | .308 | .362 | .442 | .804 | |
|
June | 67 | 16 | 4 | 11 | .239 | .342 | .463 | .804 | |
  |
August | 50 | 12 | 3 | 13 | .240 | .304 | .500 | .804 | |
  |
Last 7 Days | 22 | 6 | 1 | 5 | .273 | .304 | .500 | .804 | |
  |
June | 73 | 19 | 3 | 7 | .260 | .379 | .425 | .804 | |
  |
July | 84 | 20 | 5 | 16 | .238 | .326 | .476 | .803 | |
  |
July | 88 | 25 | 3 | 9 | .284 | .382 | .420 | .803 | |
  |
May | 49 | 14 | 3 | 8 | .286 | .333 | .469 | .803 | |
  |
August | 73 | 21 | 3 | 9 | .288 | .350 | .452 | .802 | |
  |
August | 94 | 28 | 1 | 16 | .298 | .323 | .479 | .802 | |
|
August | 111 | 30 | 3 | 10 | .270 | .369 | .432 | .802 | |
|
Last 30 Days | 19 | 7 | 0 | 4 | .368 | .381 | .421 | .802 | |
|
September | 87 | 25 | 5 | 14 | .287 | .308 | .494 | .802 | |
  |
Last 30 Days | 90 | 28 | 2 | 9 | .311 | .357 | .444 | .802 | |
|
September | 36 | 9 | 1 | 2 | .250 | .413 | .389 | .802 | |
|
Last 15 Days | 42 | 11 | 1 | 5 | .262 | .326 | .476 | .802 | |
|
Last 30 Days | 36 | 9 | 1 | 2 | .250 | .413 | .389 | .802 |
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.