MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
 |
45 | 7 | 1 | 3 | .156 | .191 | .222 | .414 | |
 |
26 | 3 | 1 | 4 | .115 | .179 | .231 | .409 | |
 |
31 | 4 | 1 | 2 | .129 | .182 | .226 | .408 | |
 |
61 | 8 | 1 | 7 | .131 | .185 | .213 | .398 | |
 |
50 | 7 | 0 | 0 | .140 | .218 | .160 | .378 | |
 |
37 | 6 | 0 | 4 | .162 | .200 | .162 | .362 | |
 |
10 | 1 | 0 | 0 | .100 | .250 | .100 | .350 | |
 |
14 | 2 | 0 | 0 | .143 | .200 | .143 | .343 | |
|
21 | 3 | 0 | 2 | .143 | .182 | .143 | .325 | |
  |
18 | 2 | 0 | 1 | .111 | .158 | .167 | .325 | |
  |
10 | 1 | 0 | 0 | .100 | .182 | .100 | .282 | |
|
26 | 2 | 0 | 1 | .077 | .143 | .077 | .220 | |
|
10 | 1 | 0 | 1 | .100 | .100 | .100 | .200 | |
 |
21 | 1 | 0 | 1 | .048 | .125 | .048 | .173 |
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.