MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
 |
46 | 6 | 1 | 4 | .130 | .226 | .196 | .422 | |
 |
36 | 7 | 0 | 2 | .194 | .194 | .222 | .417 | |
 |
23 | 4 | 0 | 1 | .174 | .240 | .174 | .414 | |
 |
25 | 4 | 0 | 3 | .160 | .192 | .200 | .392 | |
 |
15 | 2 | 0 | 1 | .133 | .188 | .200 | .388 | |
 |
48 | 7 | 1 | 3 | .146 | .180 | .208 | .388 | |
|
50 | 7 | 0 | 0 | .140 | .218 | .160 | .378 | |
 |
41 | 7 | 0 | 4 | .171 | .205 | .171 | .375 | |
 |
35 | 4 | 1 | 2 | .114 | .162 | .200 | .362 | |
|
10 | 1 | 0 | 0 | .100 | .250 | .100 | .350 | |
  |
10 | 1 | 0 | 0 | .100 | .250 | .100 | .350 | |
 |
24 | 2 | 0 | 1 | .083 | .179 | .083 | .262 | |
  |
28 | 2 | 0 | 1 | .071 | .133 | .071 | .205 | |
 |
10 | 1 | 0 | 1 | .100 | .100 | .100 | .200 |
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.