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 15 Days | 27 | 8 | 0 | 1 | .296 | .367 | .333 | .700 | |
  |
Last 30 Days | 60 | 13 | 3 | 7 | .217 | .299 | .400 | .699 | |
  |
August | 59 | 15 | 1 | 12 | .254 | .343 | .356 | .699 | |
  |
Last 15 Days | 23 | 5 | 1 | 3 | .217 | .308 | .391 | .699 | |
  |
Last 30 Days | 34 | 6 | 2 | 3 | .176 | .317 | .382 | .699 | |
  |
Last 7 Days | 21 | 6 | 0 | 3 | .286 | .318 | .381 | .699 | |
  |
August | 25 | 5 | 2 | 4 | .200 | .259 | .440 | .699 | |
  |
April | 72 | 17 | 2 | 7 | .236 | .295 | .403 | .698 | |
  |
September | 66 | 17 | 1 | 7 | .258 | .319 | .379 | .698 | |
|
July | 89 | 19 | 5 | 16 | .213 | .271 | .427 | .698 | |
  |
August | 108 | 25 | 4 | 19 | .231 | .317 | .380 | .697 | |
|
July | 86 | 18 | 6 | 17 | .209 | .278 | .419 | .697 | |
|
July | 53 | 14 | 1 | 5 | .264 | .339 | .358 | .697 | |
  |
Last 30 Days | 64 | 17 | 1 | 8 | .266 | .338 | .359 | .697 | |
|
Last 7 Days | 24 | 6 | 1 | 4 | .250 | .280 | .417 | .697 | |
  |
Last 7 Days | 11 | 3 | 0 | 0 | .273 | .333 | .364 | .697 | |
  |
July | 85 | 16 | 6 | 10 | .188 | .274 | .424 | .697 | |
  |
April | 78 | 20 | 0 | 5 | .256 | .326 | .372 | .697 | |
  |
March | 18 | 4 | 0 | 1 | .222 | .364 | .333 | .697 | |
|
Last 15 Days | 31 | 8 | 0 | 5 | .258 | .342 | .355 | .697 | |
|
Last 15 Days | 36 | 9 | 1 | 4 | .250 | .308 | .389 | .697 | |
|
Last 30 Days | 23 | 6 | 0 | 1 | .261 | .393 | .304 | .697 | |
  |
Last 30 Days | 28 | 9 | 0 | 3 | .321 | .375 | .321 | .696 | |
|
April | 28 | 9 | 0 | 3 | .321 | .375 | .321 | .696 | |
|
July | 79 | 15 | 5 | 9 | .190 | .253 | .443 | .696 |
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.