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 30 Days | 99 | 21 | 4 | 15 | .212 | .243 | .354 | .597 | |
  |
June | 33 | 8 | 0 | 4 | .242 | .324 | .273 | .597 | |
  |
June | 46 | 10 | 1 | 3 | .217 | .315 | .283 | .597 | |
  |
August | 99 | 21 | 2 | 12 | .212 | .264 | .333 | .597 | |
  |
Last 30 Days | 97 | 20 | 3 | 13 | .206 | .278 | .320 | .597 | |
  |
Last 7 Days | 18 | 4 | 0 | 5 | .222 | .375 | .222 | .597 | |
  |
May | 35 | 7 | 0 | 3 | .200 | .282 | .314 | .596 | |
|
April | 66 | 13 | 2 | 6 | .197 | .232 | .364 | .596 | |
|
April | 36 | 7 | 0 | 5 | .194 | .318 | .278 | .596 | |
  |
June | 57 | 14 | 1 | 10 | .246 | .262 | .333 | .596 | |
  |
Last 30 Days | 48 | 10 | 0 | 3 | .208 | .283 | .313 | .596 | |
  |
July | 79 | 13 | 3 | 16 | .165 | .280 | .316 | .596 | |
  |
Last 15 Days | 27 | 6 | 0 | 2 | .222 | .300 | .296 | .596 | |
  |
March | 19 | 5 | 0 | 2 | .263 | .333 | .263 | .596 | |
  |
Last 7 Days | 18 | 4 | 0 | 1 | .222 | .263 | .333 | .596 | |
|
June | 31 | 6 | 0 | 2 | .194 | .306 | .290 | .596 | |
  |
August | 95 | 19 | 1 | 7 | .200 | .321 | .274 | .595 | |
  |
June | 90 | 20 | 1 | 7 | .222 | .273 | .322 | .595 | |
|
September | 66 | 12 | 2 | 10 | .182 | .247 | .348 | .595 | |
  |
Last 30 Days | 50 | 13 | 0 | 1 | .260 | .315 | .280 | .595 | |
|
April | 54 | 14 | 0 | 3 | .259 | .298 | .296 | .595 | |
  |
August | 94 | 19 | 2 | 13 | .202 | .276 | .319 | .595 | |
|
September | 89 | 21 | 0 | 9 | .236 | .292 | .303 | .595 | |
  |
September | 43 | 7 | 3 | 6 | .163 | .200 | .395 | .595 | |
|
Last 30 Days | 43 | 7 | 3 | 6 | .163 | .200 | .395 | .595 |
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.