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MLB Batting Splits 2025

Performance splits by handedness, home/away, and situational categories.

Batting splits break down a hitter's performance across different game situations. Platoon splits (vs LHP/RHP) are the most predictive for DFS and prop betting. Minimum 10 at-bats displayed.
.548 OPS
AVG .083
OBP .214
SLG .333
HR 1
AB 12
H 1
RBI 1
.548 OPS
AVG .141
OBP .242
SLG .306
HR 4
AB 85
H 12
RBI 16
AVG .231
OBP .279
SLG .256
HR 0
AB 39
H 9
RBI 4
.535 OPS
AVG .200
OBP .247
SLG .288
HR 1
AB 80
H 16
RBI 5
.527 OPS
AVG .212
OBP .229
SLG .298
HR 1
AB 104
H 22
RBI 9
.524 OPS
AVG .220
OBP .264
SLG .260
HR 0
AB 50
H 11
RBI 2
.520 OPS
AVG .131
OBP .209
SLG .311
HR 3
AB 61
H 8
RBI 6
.510 OPS
AVG .182
OBP .237
SLG .273
HR 1
AB 55
H 10
RBI 2
.505 OPS
AVG .118
OBP .211
SLG .294
HR 1
AB 17
H 2
RBI 1
.501 OPS
AVG .167
OBP .244
SLG .256
HR 2
AB 78
H 13
RBI 3
.497 OPS
AVG .183
OBP .180
SLG .317
HR 2
AB 60
H 11
RBI 8
AVG .156
OBP .182
SLG .313
HR 1
AB 32
H 5
RBI 5
.490 OPS
AVG .182
OBP .308
SLG .182
HR 0
AB 11
H 2
RBI 1
.487 OPS
AVG .195
OBP .222
SLG .264
HR 0
AB 87
H 17
RBI 6
.480 OPS
AVG .200
OBP .209
SLG .271
HR 1
AB 85
H 17
RBI 10
.478 OPS
AVG .174
OBP .174
SLG .304
HR 1
AB 23
H 4
RBI 1
.465 OPS
AVG .111
OBP .242
SLG .222
HR 1
AB 27
H 3
RBI 4
.465 OPS
AVG .188
OBP .278
SLG .188
HR 0
AB 16
H 3
RBI 1
.463 OPS
AVG .191
OBP .257
SLG .206
HR 0
AB 68
H 13
RBI 7
.455 OPS
AVG .143
OBP .217
SLG .238
HR 0
AB 21
H 3
RBI 1
.452 OPS
AVG .181
OBP .244
SLG .208
HR 0
AB 72
H 13
RBI 3
.452 OPS
AVG .167
OBP .219
SLG .233
HR 0
AB 30
H 5
RBI 4
.426 OPS
AVG .180
OBP .180
SLG .246
HR 1
AB 61
H 11
RBI 5
.409 OPS
AVG .140
OBP .189
SLG .220
HR 1
AB 50
H 7
RBI 5
.385 OPS
AVG .077
OBP .077
SLG .308
HR 1
AB 13
H 1
RBI 2
.381 OPS
AVG .161
OBP .188
SLG .194
HR 0
AB 31
H 5
RBI 1
.368 OPS
AVG .153
OBP .173
SLG .194
HR 1
AB 72
H 11
RBI 5
.347 OPS
AVG .093
OBP .231
SLG .116
HR 0
AB 43
H 4
RBI 2
.337 OPS
AVG .087
OBP .250
SLG .087
HR 0
AB 23
H 2
RBI 0
.301 OPS
AVG .114
OBP .158
SLG .143
HR 0
AB 35
H 4
RBI 1
.298 OPS
AVG .083
OBP .214
SLG .083
HR 0
AB 12
H 1
RBI 0
.284 OPS
AVG .118
OBP .167
SLG .118
HR 0
AB 17
H 2
RBI 2
.270 OPS
AVG .135
OBP .135
SLG .135
HR 0
AB 37
H 5
RBI 0
.223 OPS
AVG .080
OBP .143
SLG .080
HR 0
AB 25
H 2
RBI 1
.192 OPS
AVG .067
OBP .125
SLG .067
HR 0
AB 15
H 1
RBI 1
.083 OPS
AVG .000
OBP .083
SLG .000
HR 0
AB 11
H 0
RBI 0

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.

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.
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