MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▲ |
|---|---|---|---|---|---|---|---|---|---|
 |
33 | 10 | 3 | 5 | .303 | .395 | .606 | 1.001 | |
 |
56 | 20 | 4 | 12 | .357 | .403 | .607 | 1.010 | |
|
99 | 27 | 10 | 18 | .273 | .395 | .626 | 1.021 | |
 |
54 | 21 | 2 | 6 | .389 | .450 | .574 | 1.024 | |
 |
39 | 12 | 4 | 10 | .308 | .317 | .718 | 1.035 | |
 |
80 | 32 | 3 | 9 | .400 | .495 | .563 | 1.057 | |
|
37 | 14 | 1 | 5 | .378 | .410 | .649 | 1.059 | |
 |
67 | 22 | 4 | 12 | .328 | .444 | .627 | 1.071 | |
 |
102 | 36 | 8 | 17 | .353 | .441 | .667 | 1.107 | |
|
12 | 5 | 1 | 1 | .417 | .533 | .667 | 1.200 | |
 |
96 | 38 | 6 | 19 | .396 | .442 | .760 | 1.203 | |
|
12 | 4 | 2 | 5 | .333 | .385 | .833 | 1.218 | |
  |
33 | 14 | 3 | 8 | .424 | .537 | .788 | 1.324 | |
 |
86 | 33 | 11 | 18 | .384 | .530 | .802 | 1.332 |
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.