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 | 52 | 15 | 0 | 6 | .288 | .422 | .365 | .787 | |
  |
Last 30 Days | 24 | 7 | 1 | 2 | .292 | .370 | .417 | .787 | |
  |
May | 112 | 38 | 1 | 13 | .339 | .358 | .429 | .787 | |
|
July | 95 | 27 | 2 | 13 | .284 | .324 | .463 | .787 | |
  |
Last 30 Days | 52 | 11 | 4 | 11 | .212 | .305 | .481 | .786 | |
|
Last 7 Days | 23 | 5 | 1 | 3 | .217 | .308 | .478 | .786 | |
|
Last 15 Days | 30 | 8 | 1 | 2 | .267 | .353 | .433 | .786 | |
|
Last 30 Days | 59 | 17 | 3 | 3 | .288 | .311 | .475 | .786 | |
|
September | 52 | 11 | 4 | 11 | .212 | .305 | .481 | .786 | |
|
May | 20 | 5 | 0 | 2 | .250 | .286 | .500 | .786 | |
  |
April | 102 | 27 | 3 | 8 | .265 | .345 | .441 | .786 | |
  |
Last 15 Days | 43 | 12 | 2 | 8 | .279 | .367 | .419 | .786 | |
  |
June | 40 | 10 | 2 | 6 | .250 | .311 | .475 | .786 | |
  |
May | 105 | 24 | 5 | 12 | .229 | .339 | .448 | .786 | |
|
August | 76 | 19 | 4 | 12 | .250 | .272 | .513 | .785 | |
  |
September | 99 | 25 | 5 | 14 | .253 | .351 | .434 | .785 | |
  |
April | 99 | 27 | 3 | 11 | .273 | .330 | .455 | .785 | |
|
September | 81 | 20 | 2 | 4 | .247 | .402 | .383 | .785 | |
  |
September | 58 | 15 | 2 | 8 | .259 | .353 | .431 | .784 | |
  |
June | 48 | 14 | 2 | 10 | .292 | .346 | .438 | .784 | |
  |
May | 61 | 11 | 4 | 15 | .180 | .325 | .459 | .784 | |
  |
Last 30 Days | 58 | 11 | 5 | 5 | .190 | .319 | .466 | .784 | |
  |
Last 15 Days | 45 | 11 | 2 | 14 | .244 | .294 | .489 | .783 | |
|
Last 7 Days | 20 | 4 | 1 | 2 | .200 | .333 | .450 | .783 | |
|
Last 30 Days | 62 | 15 | 3 | 5 | .242 | .347 | .435 | .783 |
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.