MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▲ |
|---|---|---|---|---|---|---|---|---|---|
 |
17 | 1 | 0 | 0 | .059 | .059 | .059 | .118 | |
  |
11 | 1 | 0 | 0 | .091 | .091 | .091 | .182 | |
 |
26 | 2 | 0 | 4 | .077 | .107 | .077 | .184 | |
 |
24 | 2 | 0 | 1 | .083 | .120 | .083 | .203 | |
 |
19 | 2 | 0 | 2 | .105 | .105 | .105 | .211 | |
 |
27 | 2 | 0 | 0 | .074 | .138 | .074 | .212 | |
 |
12 | 1 | 0 | 1 | .083 | .154 | .083 | .237 | |
 |
15 | 1 | 0 | 0 | .067 | .125 | .133 | .258 | |
|
36 | 3 | 0 | 0 | .083 | .154 | .111 | .265 | |
 |
13 | 1 | 0 | 0 | .077 | .200 | .077 | .277 | |
 |
27 | 2 | 1 | 3 | .074 | .107 | .185 | .292 | |
 |
10 | 1 | 0 | 2 | .100 | .100 | .200 | .300 | |
|
30 | 3 | 0 | 1 | .100 | .206 | .100 | .306 | |
 |
40 | 4 | 0 | 0 | .100 | .200 | .125 | .325 | |
 |
49 | 7 | 0 | 0 | .143 | .192 | .143 | .335 | |
 |
29 | 3 | 0 | 1 | .103 | .235 | .103 | .339 | |
|
16 | 2 | 0 | 1 | .125 | .222 | .125 | .347 | |
|
10 | 1 | 0 | 0 | .100 | .250 | .100 | .350 | |
  |
10 | 1 | 0 | 0 | .100 | .250 | .100 | .350 | |
 |
39 | 7 | 0 | 4 | .179 | .175 | .179 | .354 | |
|
44 | 5 | 1 | 2 | .114 | .152 | .205 | .357 | |
|
43 | 6 | 0 | 5 | .140 | .224 | .140 | .364 | |
|
18 | 3 | 0 | 3 | .167 | .211 | .167 | .377 | |
|
52 | 9 | 0 | 4 | .173 | .189 | .192 | .381 | |
|
13 | 1 | 1 | 4 | .077 | .077 | .308 | .385 | |
 |
47 | 7 | 0 | 4 | .149 | .180 | .213 | .393 | |
|
44 | 5 | 1 | 3 | .114 | .200 | .205 | .405 | |
|
35 | 4 | 0 | 3 | .114 | .205 | .200 | .405 | |
|
42 | 7 | 0 | 0 | .167 | .239 | .167 | .406 | |
|
24 | 3 | 1 | 2 | .125 | .160 | .250 | .410 | |
|
28 | 4 | 0 | 1 | .143 | .200 | .214 | .414 | |
|
32 | 5 | 0 | 0 | .156 | .229 | .188 | .416 | |
|
19 | 3 | 0 | 1 | .158 | .158 | .263 | .421 | |
|
15 | 2 | 0 | 1 | .133 | .222 | .200 | .422 | |
|
27 | 5 | 0 | 3 | .185 | .207 | .222 | .429 | |
|
31 | 6 | 0 | 1 | .194 | .242 | .194 | .436 | |
|
16 | 2 | 0 | 1 | .125 | .250 | .188 | .438 | |
 |
17 | 3 | 0 | 1 | .176 | .263 | .176 | .440 | |
 |
27 | 4 | 1 | 2 | .148 | .148 | .296 | .444 | |
|
49 | 9 | 1 | 2 | .184 | .200 | .245 | .445 | |
|
43 | 6 | 0 | 4 | .140 | .235 | .209 | .445 | |
|
28 | 4 | 1 | 2 | .143 | .200 | .250 | .450 | |
|
14 | 1 | 0 | 0 | .071 | .235 | .214 | .450 | |
|
15 | 3 | 0 | 0 | .200 | .250 | .200 | .450 | |
|
33 | 7 | 0 | 0 | .212 | .212 | .242 | .455 | |
|
30 | 5 | 1 | 2 | .167 | .194 | .267 | .460 | |
|
30 | 4 | 1 | 5 | .133 | .161 | .300 | .461 | |
 |
22 | 3 | 0 | 1 | .136 | .240 | .227 | .467 | |
|
53 | 9 | 1 | 3 | .170 | .211 | .264 | .475 | |
|
28 | 3 | 0 | 4 | .107 | .297 | .179 | .476 |
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.