MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
 |
19 | 6 | 0 | 2 | .316 | .350 | .316 | .666 | |
 |
87 | 19 | 1 | 9 | .218 | .320 | .345 | .665 | |
 |
16 | 5 | 0 | 1 | .313 | .353 | .313 | .665 | |
 |
99 | 21 | 3 | 18 | .212 | .275 | .384 | .659 | |
|
82 | 19 | 2 | 7 | .232 | .340 | .317 | .657 | |
 |
99 | 24 | 2 | 6 | .242 | .312 | .343 | .655 | |
 |
91 | 20 | 3 | 10 | .220 | .280 | .374 | .654 | |
 |
43 | 9 | 1 | 4 | .209 | .277 | .372 | .649 | |
|
70 | 17 | 2 | 8 | .243 | .276 | .371 | .648 | |
 |
61 | 13 | 1 | 6 | .213 | .319 | .328 | .647 | |
|
44 | 9 | 1 | 4 | .205 | .327 | .318 | .645 | |
 |
28 | 7 | 0 | 2 | .250 | .323 | .321 | .644 | |
|
92 | 18 | 3 | 7 | .196 | .295 | .348 | .643 | |
|
78 | 19 | 1 | 10 | .244 | .322 | .321 | .642 | |
 |
67 | 17 | 0 | 5 | .254 | .342 | .299 | .641 | |
 |
17 | 3 | 1 | 3 | .176 | .286 | .353 | .639 | |
|
68 | 17 | 0 | 8 | .250 | .311 | .324 | .634 | |
  |
52 | 12 | 1 | 4 | .231 | .286 | .346 | .632 | |
|
27 | 7 | 1 | 7 | .259 | .259 | .370 | .630 | |
 |
92 | 22 | 1 | 6 | .239 | .308 | .315 | .623 | |
|
64 | 15 | 0 | 5 | .234 | .310 | .313 | .622 | |
|
88 | 18 | 2 | 9 | .205 | .278 | .341 | .619 | |
|
45 | 10 | 2 | 3 | .222 | .234 | .378 | .612 | |
 |
35 | 5 | 3 | 8 | .143 | .211 | .400 | .611 | |
|
43 | 8 | 2 | 5 | .186 | .286 | .326 | .611 | |
|
91 | 20 | 1 | 5 | .220 | .276 | .330 | .605 | |
 |
93 | 16 | 7 | 14 | .172 | .196 | .409 | .604 | |
  |
30 | 4 | 2 | 5 | .133 | .235 | .367 | .602 | |
|
87 | 18 | 4 | 13 | .207 | .242 | .356 | .598 | |
|
14 | 3 | 0 | 1 | .214 | .313 | .286 | .598 | |
|
44 | 10 | 0 | 3 | .227 | .346 | .250 | .596 | |
 |
81 | 17 | 2 | 6 | .210 | .281 | .309 | .590 | |
|
103 | 23 | 1 | 10 | .223 | .279 | .311 | .590 | |
 |
86 | 15 | 4 | 10 | .174 | .260 | .326 | .586 | |
|
84 | 17 | 2 | 5 | .202 | .272 | .310 | .581 | |
|
70 | 16 | 1 | 8 | .229 | .263 | .314 | .577 | |
|
65 | 12 | 0 | 10 | .185 | .264 | .308 | .572 | |
|
77 | 17 | 1 | 2 | .221 | .268 | .299 | .567 | |
|
32 | 7 | 0 | 1 | .219 | .286 | .281 | .567 | |
|
86 | 16 | 2 | 13 | .186 | .253 | .314 | .567 | |
|
92 | 18 | 2 | 15 | .196 | .262 | .304 | .566 | |
|
85 | 16 | 2 | 7 | .188 | .281 | .282 | .564 | |
|
98 | 21 | 0 | 12 | .214 | .278 | .286 | .563 | |
|
81 | 16 | 2 | 5 | .198 | .278 | .284 | .562 | |
 |
86 | 18 | 1 | 9 | .209 | .258 | .302 | .560 | |
|
53 | 10 | 0 | 2 | .189 | .295 | .264 | .559 | |
|
38 | 8 | 1 | 5 | .211 | .268 | .289 | .558 | |
|
50 | 10 | 0 | 4 | .200 | .273 | .280 | .553 | |
|
68 | 14 | 2 | 10 | .206 | .229 | .324 | .552 | |
|
55 | 11 | 0 | 4 | .200 | .313 | .236 | .549 |
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.