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 | 24 | 6 | 0 | 1 | .250 | .308 | .250 | .558 | |
  |
May | 92 | 17 | 3 | 8 | .185 | .242 | .315 | .558 | |
  |
June | 41 | 5 | 1 | 4 | .122 | .265 | .293 | .558 | |
|
Last 30 Days | 53 | 8 | 1 | 2 | .151 | .274 | .283 | .557 | |
  |
July | 28 | 4 | 2 | 4 | .143 | .200 | .357 | .557 | |
  |
Last 15 Days | 14 | 2 | 1 | 1 | .143 | .200 | .357 | .557 | |
  |
April | 54 | 10 | 0 | 3 | .185 | .279 | .278 | .556 | |
  |
September | 43 | 8 | 0 | 4 | .186 | .300 | .256 | .556 | |
  |
September | 18 | 4 | 0 | 1 | .222 | .333 | .222 | .556 | |
|
June | 37 | 6 | 2 | 2 | .162 | .205 | .351 | .556 | |
  |
September | 18 | 4 | 0 | 1 | .222 | .333 | .222 | .556 | |
  |
April | 70 | 14 | 1 | 9 | .200 | .256 | .300 | .556 | |
  |
Last 15 Days | 45 | 9 | 2 | 5 | .200 | .200 | .356 | .556 | |
|
Last 30 Days | 18 | 4 | 0 | 1 | .222 | .333 | .222 | .556 | |
  |
Last 7 Days | 27 | 7 | 0 | 0 | .259 | .259 | .296 | .556 | |
|
Last 15 Days | 56 | 10 | 1 | 2 | .179 | .270 | .286 | .556 | |
  |
Last 15 Days | 26 | 6 | 0 | 3 | .231 | .286 | .269 | .555 | |
  |
June | 26 | 6 | 0 | 3 | .231 | .286 | .269 | .555 | |
|
August | 59 | 11 | 2 | 7 | .186 | .250 | .305 | .555 | |
  |
June | 49 | 11 | 0 | 3 | .224 | .269 | .286 | .555 | |
|
Last 30 Days | 58 | 9 | 2 | 7 | .155 | .279 | .276 | .555 | |
|
Last 7 Days | 26 | 7 | 0 | 5 | .269 | .286 | .269 | .555 | |
  |
May | 89 | 19 | 0 | 7 | .213 | .284 | .270 | .554 | |
|
September | 32 | 8 | 0 | 3 | .250 | .273 | .281 | .554 | |
|
Last 30 Days | 32 | 8 | 0 | 3 | .250 | .273 | .281 | .554 |
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.