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 | 94 | 34 | 2 | 19 | .362 | .438 | .489 | .927 | |
  |
June | 94 | 27 | 8 | 16 | .287 | .330 | .596 | .926 | |
  |
Last 7 Days | 19 | 7 | 1 | 3 | .368 | .400 | .526 | .926 | |
  |
September | 51 | 16 | 3 | 10 | .314 | .397 | .529 | .926 | |
  |
Last 15 Days | 45 | 13 | 4 | 9 | .289 | .347 | .578 | .925 | |
  |
September | 90 | 30 | 4 | 17 | .333 | .358 | .567 | .925 | |
  |
Last 30 Days | 57 | 16 | 4 | 11 | .281 | .364 | .561 | .925 | |
|
April | 55 | 19 | 1 | 5 | .345 | .379 | .545 | .925 | |
  |
March | 19 | 8 | 0 | 0 | .421 | .450 | .474 | .924 | |
  |
July | 43 | 11 | 4 | 9 | .256 | .319 | .605 | .924 | |
  |
Last 15 Days | 13 | 6 | 0 | 2 | .462 | .462 | .462 | .923 | |
|
March | 13 | 4 | 1 | 4 | .308 | .308 | .615 | .923 | |
  |
Last 7 Days | 18 | 6 | 0 | 1 | .333 | .478 | .444 | .923 | |
  |
April | 46 | 15 | 2 | 9 | .326 | .380 | .543 | .923 | |
|
April | 105 | 34 | 6 | 19 | .324 | .371 | .552 | .923 | |
|
June | 13 | 6 | 0 | 2 | .462 | .462 | .462 | .923 | |
|
Last 15 Days | 43 | 15 | 3 | 5 | .349 | .364 | .558 | .922 | |
  |
September | 79 | 27 | 3 | 15 | .342 | .429 | .494 | .922 | |
  |
May | 75 | 23 | 4 | 14 | .307 | .388 | .533 | .922 | |
  |
July | 73 | 21 | 5 | 12 | .288 | .388 | .534 | .922 | |
  |
May | 89 | 28 | 4 | 13 | .315 | .394 | .528 | .922 | |
|
June | 103 | 35 | 3 | 12 | .340 | .378 | .544 | .922 | |
|
September | 74 | 21 | 5 | 19 | .284 | .354 | .568 | .921 | |
  |
Last 15 Days | 35 | 12 | 2 | 7 | .343 | .378 | .543 | .921 | |
|
July | 96 | 28 | 7 | 19 | .292 | .369 | .552 | .921 |
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.