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 15 Days | 33 | 11 | 0 | 0 | .333 | .405 | .394 | .799 | |
  |
May | 35 | 11 | 1 | 2 | .314 | .342 | .457 | .799 | |
  |
June | 91 | 26 | 2 | 10 | .286 | .414 | .385 | .799 | |
  |
August | 106 | 24 | 8 | 13 | .226 | .299 | .500 | .799 | |
  |
April | 55 | 11 | 3 | 11 | .200 | .362 | .436 | .799 | |
|
Last 30 Days | 72 | 21 | 3 | 13 | .292 | .354 | .444 | .799 | |
  |
April | 82 | 25 | 3 | 14 | .305 | .360 | .439 | .799 | |
  |
September | 45 | 14 | 1 | 8 | .311 | .354 | .444 | .799 | |
  |
Last 30 Days | 73 | 20 | 3 | 10 | .274 | .346 | .452 | .798 | |
|
September | 73 | 20 | 3 | 10 | .274 | .346 | .452 | .798 | |
  |
March | 20 | 6 | 1 | 4 | .300 | .348 | .450 | .798 | |
  |
June | 93 | 27 | 2 | 15 | .290 | .400 | .398 | .798 | |
  |
April | 42 | 13 | 1 | 4 | .310 | .370 | .429 | .798 | |
  |
June | 89 | 20 | 6 | 15 | .225 | .314 | .483 | .797 | |
|
Last 30 Days | 47 | 13 | 2 | 13 | .277 | .308 | .489 | .797 | |
|
Last 30 Days | 75 | 21 | 2 | 10 | .280 | .357 | .440 | .797 | |
|
April | 36 | 11 | 1 | 7 | .306 | .324 | .472 | .797 | |
|
April | 68 | 17 | 1 | 17 | .250 | .400 | .397 | .797 | |
  |
Last 30 Days | 103 | 27 | 4 | 10 | .262 | .321 | .476 | .797 | |
|
Last 30 Days | 88 | 26 | 1 | 10 | .295 | .388 | .409 | .797 | |
  |
May | 95 | 25 | 3 | 15 | .263 | .355 | .442 | .797 | |
|
June | 89 | 24 | 4 | 15 | .270 | .359 | .438 | .797 | |
  |
Last 7 Days | 25 | 8 | 1 | 6 | .320 | .357 | .440 | .797 | |
|
Last 30 Days | 76 | 23 | 1 | 9 | .303 | .375 | .421 | .796 | |
|
May | 101 | 30 | 4 | 13 | .297 | .321 | .475 | .796 |
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.