MLB Batting Splits 2026
Performance splits by handedness, home/away, and situational categories.
| Player | Team | Split | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|---|
  |
August | 107 | 25 | 4 | 12 | .234 | .339 | .477 | .815 | |
  |
Last 30 Days | 27 | 8 | 1 | 4 | .296 | .333 | .481 | .815 | |
  |
May | 89 | 27 | 1 | 10 | .303 | .388 | .427 | .815 | |
  |
Last 7 Days | 22 | 6 | 1 | 7 | .273 | .360 | .455 | .815 | |
  |
September | 36 | 11 | 2 | 5 | .306 | .342 | .472 | .814 | |
  |
Last 15 Days | 39 | 9 | 4 | 7 | .231 | .250 | .564 | .814 | |
  |
May | 104 | 30 | 3 | 23 | .288 | .333 | .481 | .814 | |
|
Last 15 Days | 20 | 6 | 1 | 4 | .300 | .364 | .450 | .814 | |
  |
July | 60 | 18 | 2 | 9 | .300 | .364 | .450 | .814 | |
|
July | 25 | 5 | 2 | 4 | .200 | .333 | .480 | .813 | |
  |
Last 7 Days | 21 | 5 | 1 | 2 | .238 | .385 | .429 | .813 | |
  |
September | 55 | 14 | 3 | 8 | .255 | .323 | .491 | .813 | |
|
September | 63 | 14 | 5 | 12 | .222 | .319 | .492 | .812 | |
|
Last 7 Days | 15 | 5 | 0 | 1 | .333 | .412 | .400 | .812 | |
  |
July | 59 | 14 | 5 | 9 | .237 | .303 | .508 | .812 | |
|
August | 91 | 28 | 2 | 11 | .308 | .373 | .440 | .812 | |
|
Last 15 Days | 11 | 2 | 1 | 2 | .182 | .357 | .455 | .812 | |
|
Last 7 Days | 19 | 5 | 1 | 2 | .263 | .391 | .421 | .812 | |
  |
Last 7 Days | 19 | 4 | 2 | 3 | .211 | .286 | .526 | .812 | |
  |
May | 94 | 26 | 5 | 11 | .277 | .333 | .479 | .812 | |
  |
July | 46 | 11 | 3 | 11 | .239 | .333 | .478 | .812 | |
|
June | 103 | 25 | 6 | 15 | .243 | .316 | .495 | .811 | |
  |
September | 59 | 15 | 3 | 5 | .254 | .353 | .458 | .811 | |
|
April | 92 | 24 | 2 | 17 | .261 | .420 | .391 | .811 | |
  |
Last 7 Days | 24 | 6 | 2 | 6 | .250 | .269 | .542 | .811 |
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.