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MLB Batting Splits 2026

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.
.877 OPS
AVG .333
OBP .370
SLG .507
HR 3
AB 75
H 25
RBI 16
Xander Bogaerts headshot
Last 30 Days
.876 OPS
AVG .305
OBP .412
SLG .463
HR 2
AB 82
H 25
RBI 10
.876 OPS
AVG .244
OBP .321
SLG .556
HR 4
AB 45
H 11
RBI 13
Will Smith headshot
March
.875 OPS
AVG .250
OBP .250
SLG .625
HR 2
AB 16
H 4
RBI 5
.875 OPS
AVG .319
OBP .429
SLG .447
HR 1
AB 94
H 30
RBI 9
.874 OPS
AVG .311
OBP .398
SLG .476
HR 3
AB 103
H 32
RBI 11
Carson Benge headshot
September
.874 OPS
AVG .313
OBP .394
SLG .479
HR 4
AB 96
H 30
RBI 11
Griffin Conine headshot
Last 15 Days
.874 OPS
AVG .286
OBP .302
SLG .571
HR 4
AB 42
H 12
RBI 6
Liam Hicks headshot
April
.874 OPS
AVG .309
OBP .356
SLG .519
HR 5
AB 81
H 25
RBI 20
Coby Mayo headshot
August
.873 OPS
AVG .272
OBP .330
SLG .543
HR 5
AB 81
H 22
RBI 15
.873 OPS
AVG .333
OBP .429
SLG .444
HR 0
AB 18
H 6
RBI 5
Dominic Canzone headshot
Last 7 Days
.873 OPS
AVG .320
OBP .393
SLG .480
HR 1
AB 25
H 8
RBI 5
.873 OPS
AVG .287
OBP .415
SLG .457
HR 2
AB 94
H 27
RBI 12
.873 OPS
AVG .333
OBP .429
SLG .444
HR 0
AB 18
H 6
RBI 0
.873 OPS
AVG .345
OBP .424
SLG .448
HR 0
AB 29
H 10
RBI 4
Cody Freeman headshot
August
.873 OPS
AVG .326
OBP .408
SLG .465
HR 1
AB 43
H 14
RBI 6
.872 OPS
AVG .292
OBP .414
SLG .458
HR 0
AB 24
H 7
RBI 3
Joshua Baez headshot
Last 30 Days
.872 OPS
AVG .298
OBP .340
SLG .532
HR 2
AB 47
H 14
RBI 8
.872 OPS
AVG .235
OBP .361
SLG .510
HR 8
AB 98
H 23
RBI 12
.872 OPS
AVG .269
OBP .380
SLG .493
HR 3
AB 67
H 18
RBI 13
.872 OPS
AVG .290
OBP .324
SLG .548
HR 2
AB 31
H 9
RBI 7
Jung Hoo Lee headshot
Last 15 Days
.872 OPS
AVG .286
OBP .348
SLG .524
HR 1
AB 21
H 6
RBI 2
.872 OPS
AVG .306
OBP .400
SLG .472
HR 2
AB 72
H 22
RBI 7
.871 OPS
AVG .306
OBP .338
SLG .532
HR 3
AB 62
H 19
RBI 11
.871 OPS
AVG .247
OBP .378
SLG .494
HR 5
AB 81
H 20
RBI 9

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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