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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.
.619 OPS
AVG .222
OBP .286
SLG .333
HR 1
AB 45
H 10
RBI 2
Nick Sogard headshot
September
.619 OPS
AVG .226
OBP .286
SLG .333
HR 2
AB 84
H 19
RBI 6
.619 OPS
AVG .243
OBP .349
SLG .270
HR 0
AB 74
H 18
RBI 7
.619 OPS
AVG .226
OBP .317
SLG .302
HR 1
AB 53
H 12
RBI 9
Brady House headshot
April
.618 OPS
AVG .207
OBP .270
SLG .348
HR 3
AB 92
H 19
RBI 11
Reese McGuire headshot
Last 15 Days
.618 OPS
AVG .250
OBP .368
SLG .250
HR 0
AB 16
H 4
RBI 3
.618 OPS
AVG .211
OBP .250
SLG .368
HR 1
AB 38
H 8
RBI 4
.618 OPS
AVG .269
OBP .319
SLG .299
HR 0
AB 67
H 18
RBI 7
Nathan Lukes headshot
April
.618 OPS
AVG .250
OBP .277
SLG .341
HR 0
AB 44
H 11
RBI 7
Brandon Nimmo headshot
Last 30 Days
.617 OPS
AVG .250
OBP .305
SLG .313
HR 0
AB 96
H 24
RBI 11
.617 OPS
AVG .133
OBP .350
SLG .267
HR 0
AB 15
H 2
RBI 4
.617 OPS
AVG .247
OBP .337
SLG .281
HR 0
AB 89
H 22
RBI 10
Tim Tawa headshot
Last 30 Days
.617 OPS
AVG .218
OBP .271
SLG .346
HR 2
AB 78
H 17
RBI 7
.617 OPS
AVG .211
OBP .250
SLG .367
HR 4
AB 90
H 19
RBI 9
Carlos Cortes headshot
Last 15 Days
.617 OPS
AVG .167
OBP .200
SLG .417
HR 1
AB 24
H 4
RBI 3
.617 OPS
AVG .216
OBP .293
SLG .324
HR 1
AB 37
H 8
RBI 2
Wyatt Langford headshot
Last 15 Days
.617 OPS
AVG .211
OBP .380
SLG .237
HR 0
AB 38
H 8
RBI 5
.617 OPS
AVG .254
OBP .333
SLG .284
HR 0
AB 67
H 17
RBI 6
Matt Olson headshot
Last 7 Days
.617 OPS
AVG .200
OBP .217
SLG .400
HR 1
AB 20
H 4
RBI 4
Jose Altuve headshot
April
.617 OPS
AVG .226
OBP .294
SLG .323
HR 1
AB 93
H 21
RBI 5
.617 OPS
AVG .238
OBP .322
SLG .295
HR 0
AB 105
H 25
RBI 5
.616 OPS
AVG .205
OBP .253
SLG .364
HR 4
AB 88
H 18
RBI 14
.616 OPS
AVG .281
OBP .303
SLG .313
HR 0
AB 32
H 9
RBI 4
Carson Benge headshot
March
.616 OPS
AVG .176
OBP .263
SLG .353
HR 1
AB 17
H 3
RBI 1
.616 OPS
AVG .208
OBP .283
SLG .333
HR 1
AB 48
H 10
RBI 7

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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