MLB Batting Splits 2026
Performance splits by handedness, home/away, and situational categories.
| Player | Team | Split | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|---|
  |
June | 47 | 5 | 1 | 5 | .106 | .160 | .170 | .330 | |
  |
September | 41 | 5 | 0 | 4 | .122 | .159 | .171 | .330 | |
  |
Last 15 Days | 17 | 2 | 0 | 3 | .118 | .211 | .118 | .328 | |
  |
March | 18 | 2 | 0 | 1 | .111 | .158 | .167 | .325 | |
  |
Last 30 Days | 21 | 3 | 0 | 0 | .143 | .182 | .143 | .325 | |
  |
Last 15 Days | 20 | 1 | 0 | 0 | .050 | .174 | .150 | .324 | |
  |
Last 7 Days | 23 | 2 | 0 | 3 | .087 | .192 | .130 | .323 | |
|
June | 33 | 4 | 0 | 0 | .121 | .171 | .152 | .323 | |
|
August | 89 | 11 | 0 | 4 | .124 | .188 | .135 | .322 | |
  |
Last 7 Days | 11 | 1 | 0 | 0 | .091 | .231 | .091 | .322 | |
  |
Last 7 Days | 11 | 1 | 0 | 0 | .091 | .231 | .091 | .322 | |
  |
Last 7 Days | 11 | 1 | 0 | 0 | .091 | .231 | .091 | .322 | |
  |
Last 7 Days | 12 | 1 | 0 | 0 | .083 | .154 | .167 | .321 | |
  |
Last 15 Days | 15 | 2 | 0 | 0 | .133 | .188 | .133 | .321 | |
  |
May | 38 | 4 | 0 | 3 | .105 | .186 | .132 | .318 | |
|
Last 30 Days | 17 | 2 | 0 | 2 | .118 | .200 | .118 | .318 | |
|
Last 15 Days | 41 | 6 | 0 | 2 | .146 | .146 | .171 | .317 | |
  |
March | 20 | 2 | 0 | 1 | .100 | .217 | .100 | .317 | |
|
March | 20 | 2 | 0 | 0 | .100 | .217 | .100 | .317 | |
|
Last 15 Days | 29 | 3 | 0 | 2 | .103 | .212 | .103 | .316 | |
  |
June | 38 | 6 | 0 | 0 | .158 | .158 | .158 | .316 | |
|
July | 19 | 3 | 0 | 1 | .158 | .158 | .158 | .316 | |
  |
Last 30 Days | 19 | 3 | 0 | 0 | .158 | .158 | .158 | .316 | |
|
Last 15 Days | 19 | 3 | 0 | 2 | .158 | .158 | .158 | .316 | |
|
Last 7 Days | 18 | 2 | 0 | 3 | .111 | .200 | .111 | .311 |
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.