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 7 Days | 16 | 2 | 0 | 0 | .125 | .222 | .188 | .410 | |
  |
August | 92 | 15 | 0 | 4 | .163 | .214 | .196 | .410 | |
  |
April | 54 | 7 | 0 | 6 | .130 | .262 | .148 | .410 | |
  |
July | 76 | 11 | 2 | 8 | .145 | .185 | .224 | .409 | |
|
June | 28 | 3 | 1 | 2 | .107 | .194 | .214 | .408 | |
  |
Last 15 Days | 20 | 1 | 1 | 1 | .050 | .208 | .200 | .408 | |
|
September | 22 | 3 | 0 | 3 | .136 | .269 | .136 | .406 | |
  |
Last 15 Days | 43 | 6 | 1 | 4 | .140 | .196 | .209 | .405 | |
  |
April | 51 | 7 | 0 | 0 | .137 | .228 | .176 | .405 | |
  |
Last 15 Days | 13 | 1 | 0 | 0 | .077 | .250 | .154 | .404 | |
|
September | 34 | 4 | 0 | 3 | .118 | .286 | .118 | .403 | |
|
July | 39 | 4 | 0 | 1 | .103 | .300 | .103 | .403 | |
|
Last 30 Days | 34 | 4 | 0 | 3 | .118 | .286 | .118 | .403 | |
|
April | 31 | 4 | 0 | 5 | .129 | .176 | .226 | .402 | |
  |
July | 35 | 5 | 0 | 0 | .143 | .231 | .171 | .402 | |
  |
April | 53 | 7 | 1 | 3 | .132 | .193 | .208 | .401 | |
  |
Last 7 Days | 15 | 3 | 0 | 0 | .200 | .200 | .200 | .400 | |
|
Last 7 Days | 20 | 4 | 0 | 3 | .200 | .200 | .200 | .400 | |
  |
Last 7 Days | 10 | 2 | 0 | 0 | .200 | .200 | .200 | .400 | |
|
March | 15 | 3 | 0 | 0 | .200 | .200 | .200 | .400 | |
|
Last 15 Days | 10 | 2 | 0 | 0 | .200 | .200 | .200 | .400 | |
  |
Last 7 Days | 10 | 2 | 0 | 1 | .200 | .200 | .200 | .400 | |
  |
Last 30 Days | 64 | 12 | 0 | 0 | .188 | .212 | .188 | .400 | |
|
May | 88 | 11 | 1 | 4 | .125 | .218 | .182 | .400 | |
  |
Last 15 Days | 43 | 7 | 0 | 3 | .163 | .213 | .186 | .399 |
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.