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 | 91 | 21 | 2 | 13 | .231 | .290 | .341 | .631 | |
  |
Last 7 Days | 23 | 5 | 0 | 6 | .217 | .240 | .391 | .631 | |
|
Last 30 Days | 83 | 17 | 3 | 17 | .205 | .233 | .398 | .631 | |
  |
Last 30 Days | 61 | 15 | 1 | 9 | .246 | .303 | .328 | .631 | |
  |
July | 38 | 10 | 0 | 2 | .263 | .341 | .289 | .630 | |
  |
September | 11 | 2 | 0 | 0 | .182 | .357 | .273 | .630 | |
|
Last 30 Days | 11 | 2 | 0 | 0 | .182 | .357 | .273 | .630 | |
  |
Last 15 Days | 31 | 6 | 2 | 7 | .194 | .242 | .387 | .630 | |
  |
September | 45 | 8 | 2 | 5 | .178 | .229 | .400 | .629 | |
  |
May | 71 | 15 | 1 | 7 | .211 | .263 | .366 | .629 | |
|
Last 15 Days | 40 | 9 | 1 | 5 | .225 | .279 | .350 | .629 | |
  |
May | 56 | 9 | 3 | 7 | .161 | .254 | .375 | .629 | |
  |
June | 82 | 13 | 6 | 13 | .159 | .239 | .390 | .629 | |
  |
May | 120 | 27 | 4 | 13 | .225 | .262 | .367 | .629 | |
|
Last 30 Days | 45 | 8 | 2 | 5 | .178 | .229 | .400 | .629 | |
  |
August | 94 | 20 | 2 | 12 | .213 | .267 | .362 | .629 | |
|
June | 68 | 18 | 0 | 4 | .265 | .320 | .309 | .629 | |
|
Last 30 Days | 67 | 17 | 0 | 2 | .254 | .359 | .269 | .628 | |
  |
July | 91 | 25 | 0 | 7 | .275 | .320 | .308 | .628 | |
|
May | 33 | 6 | 1 | 3 | .182 | .325 | .303 | .628 | |
|
Last 30 Days | 38 | 8 | 1 | 3 | .211 | .286 | .342 | .628 | |
  |
Last 15 Days | 42 | 8 | 2 | 8 | .190 | .271 | .357 | .628 | |
  |
June | 75 | 18 | 0 | 5 | .240 | .321 | .307 | .628 | |
  |
July | 55 | 12 | 2 | 3 | .218 | .246 | .382 | .627 | |
|
May | 20 | 4 | 1 | 3 | .200 | .227 | .400 | .627 |
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.