MLB Batting Splits 2026
Performance splits by handedness, home/away, and situational categories.
| Player | Team | Split | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|---|
  |
Last 30 Days | 52 | 15 | 0 | 7 | .288 | .345 | .346 | .691 | |
|
Last 30 Days | 43 | 12 | 1 | 3 | .279 | .295 | .395 | .691 | |
  |
June | 101 | 20 | 6 | 20 | .198 | .246 | .446 | .691 | |
  |
Last 7 Days | 20 | 6 | 0 | 0 | .300 | .391 | .300 | .691 | |
  |
June | 54 | 15 | 0 | 6 | .278 | .339 | .352 | .691 | |
  |
April | 107 | 28 | 4 | 18 | .262 | .298 | .393 | .691 | |
  |
May | 28 | 8 | 0 | 3 | .286 | .333 | .357 | .690 | |
  |
September | 94 | 26 | 2 | 7 | .277 | .307 | .383 | .690 | |
  |
July | 95 | 22 | 4 | 13 | .232 | .311 | .379 | .690 | |
  |
Last 30 Days | 96 | 24 | 3 | 13 | .250 | .294 | .396 | .690 | |
  |
August | 28 | 6 | 1 | 1 | .214 | .333 | .357 | .690 | |
  |
August | 104 | 25 | 2 | 10 | .240 | .344 | .346 | .690 | |
|
September | 95 | 23 | 3 | 11 | .242 | .311 | .379 | .690 | |
|
April | 47 | 12 | 1 | 9 | .255 | .286 | .404 | .690 | |
  |
Last 30 Days | 93 | 23 | 1 | 9 | .247 | .324 | .366 | .689 | |
|
August | 65 | 15 | 1 | 6 | .231 | .351 | .338 | .689 | |
  |
Last 30 Days | 69 | 15 | 1 | 7 | .217 | .341 | .348 | .689 | |
  |
March | 18 | 4 | 0 | 3 | .222 | .300 | .389 | .689 | |
  |
Last 30 Days | 82 | 16 | 4 | 8 | .195 | .275 | .415 | .689 | |
  |
May | 43 | 11 | 2 | 11 | .256 | .294 | .395 | .689 | |
|
March | 18 | 4 | 1 | 5 | .222 | .300 | .389 | .689 | |
|
April | 29 | 6 | 1 | 1 | .207 | .378 | .310 | .689 | |
|
July | 57 | 12 | 3 | 9 | .211 | .286 | .404 | .689 | |
|
Last 15 Days | 50 | 15 | 1 | 6 | .300 | .308 | .380 | .688 | |
  |
August | 88 | 22 | 3 | 8 | .250 | .290 | .398 | .688 |
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.