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 | 1 | .125 | .222 | .125 | .347 | |
  |
March | 16 | 2 | 0 | 1 | .125 | .222 | .125 | .347 | |
  |
Last 7 Days | 16 | 2 | 0 | 3 | .125 | .222 | .125 | .347 | |
  |
September | 39 | 3 | 0 | 0 | .077 | .217 | .128 | .346 | |
  |
Last 30 Days | 30 | 4 | 0 | 0 | .133 | .212 | .133 | .345 | |
  |
April | 24 | 3 | 0 | 3 | .125 | .179 | .167 | .345 | |
  |
August | 14 | 2 | 0 | 0 | .143 | .200 | .143 | .343 | |
  |
August | 14 | 2 | 0 | 0 | .143 | .200 | .143 | .343 | |
|
September | 23 | 3 | 0 | 2 | .130 | .167 | .174 | .341 | |
  |
May | 23 | 3 | 0 | 1 | .130 | .167 | .174 | .341 | |
  |
Last 30 Days | 20 | 3 | 0 | 0 | .150 | .190 | .150 | .340 | |
  |
August | 20 | 3 | 0 | 1 | .150 | .190 | .150 | .340 | |
|
July | 36 | 5 | 0 | 2 | .139 | .200 | .139 | .339 | |
  |
September | 26 | 4 | 0 | 1 | .154 | .185 | .154 | .339 | |
|
Last 30 Days | 46 | 4 | 0 | 0 | .087 | .208 | .130 | .338 | |
  |
July | 69 | 10 | 0 | 2 | .145 | .176 | .159 | .335 | |
  |
Last 30 Days | 30 | 5 | 0 | 4 | .167 | .167 | .167 | .333 | |
|
September | 18 | 2 | 0 | 0 | .111 | .111 | .222 | .333 | |
|
Last 30 Days | 18 | 2 | 0 | 0 | .111 | .111 | .222 | .333 | |
|
Last 7 Days | 12 | 2 | 0 | 0 | .167 | .167 | .167 | .333 | |
  |
July | 18 | 3 | 0 | 0 | .167 | .167 | .167 | .333 | |
|
March | 19 | 2 | 0 | 1 | .105 | .227 | .105 | .333 | |
|
September | 30 | 5 | 0 | 4 | .167 | .167 | .167 | .333 | |
|
Last 30 Days | 29 | 4 | 0 | 1 | .138 | .194 | .138 | .331 | |
|
Last 30 Days | 15 | 1 | 0 | 1 | .067 | .263 | .067 | .330 |
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.