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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.
.743 OPS
AVG .227
OBP .269
SLG .474
HR 6
AB 97
H 22
RBI 21
.743 OPS
AVG .206
OBP .300
SLG .443
HR 6
AB 97
H 20
RBI 14
.743 OPS
AVG .200
OBP .276
SLG .467
HR 9
AB 105
H 21
RBI 19
.743 OPS
AVG .231
OBP .358
SLG .385
HR 3
AB 78
H 18
RBI 7
Ryan Jeffers headshot
Last 30 Days
.742 OPS
AVG .208
OBP .284
SLG .458
HR 4
AB 72
H 15
RBI 14
.742 OPS
AVG .231
OBP .296
SLG .446
HR 4
AB 65
H 15
RBI 9
.742 OPS
AVG .231
OBP .281
SLG .462
HR 3
AB 52
H 12
RBI 11
Lars Nootbaar headshot
August
.742 OPS
AVG .222
OBP .325
SLG .417
HR 3
AB 72
H 16
RBI 12
.742 OPS
AVG .308
OBP .357
SLG .385
HR 0
AB 13
H 4
RBI 1
.742 OPS
AVG .256
OBP .312
SLG .430
HR 4
AB 86
H 22
RBI 10
.742 OPS
AVG .224
OBP .354
SLG .388
HR 1
AB 67
H 15
RBI 7
Jake Bauers headshot
April
.742 OPS
AVG .247
OBP .322
SLG .420
HR 3
AB 81
H 20
RBI 15
.741 OPS
AVG .229
OBP .345
SLG .396
HR 2
AB 48
H 11
RBI 10
.741 OPS
AVG .281
OBP .303
SLG .438
HR 1
AB 32
H 9
RBI 4
.741 OPS
AVG .333
OBP .407
SLG .333
HR 0
AB 24
H 8
RBI 3
.741 OPS
AVG .216
OBP .297
SLG .443
HR 4
AB 97
H 21
RBI 12
.741 OPS
AVG .227
OBP .301
SLG .439
HR 4
AB 66
H 15
RBI 9
Ivan Herrera headshot
September
.741 OPS
AVG .231
OBP .324
SLG .418
HR 5
AB 91
H 21
RBI 14
Taylor Ward headshot
March
.741 OPS
AVG .300
OBP .391
SLG .350
HR 0
AB 20
H 6
RBI 2
.741 OPS
AVG .238
OBP .404
SLG .338
HR 2
AB 80
H 19
RBI 8
.741 OPS
AVG .228
OBP .295
SLG .446
HR 4
AB 92
H 21
RBI 15
Bo Bichette headshot
Last 30 Days
.741 OPS
AVG .259
OBP .333
SLG .407
HR 4
AB 108
H 28
RBI 12
Jeremy Pena headshot
September
.741 OPS
AVG .255
OBP .282
SLG .459
HR 5
AB 98
H 25
RBI 10
Cole Young headshot
April
.740 OPS
AVG .275
OBP .356
SLG .385
HR 2
AB 91
H 25
RBI 15
Seiya Suzuki headshot
Last 30 Days
.740 OPS
AVG .234
OBP .357
SLG .383
HR 3
AB 94
H 22
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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