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MLB Batting Splits 2019

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.
1.388 OPS
AVG .375
OBP .450
SLG .938
HR 3
AB 16
H 6
RBI 5
1.357 OPS
AVG .455
OBP .538
SLG .818
HR 1
AB 11
H 5
RBI 4
1.347 OPS
AVG .387
OBP .412
SLG .935
HR 5
AB 31
H 12
RBI 6
1.297 OPS
AVG .381
OBP .440
SLG .857
HR 3
AB 21
H 8
RBI 8
1.289 OPS
AVG .333
OBP .400
SLG .889
HR 3
AB 18
H 6
RBI 7
1.262 OPS
AVG .333
OBP .429
SLG .833
HR 4
AB 24
H 8
RBI 9
1.167 OPS
AVG .389
OBP .389
SLG .778
HR 2
AB 18
H 7
RBI 4
1.101 OPS
AVG .263
OBP .417
SLG .684
HR 2
AB 19
H 5
RBI 4
1.062 OPS
AVG .323
OBP .417
SLG .645
HR 3
AB 31
H 10
RBI 6
1.045 OPS
AVG .273
OBP .500
SLG .545
HR 1
AB 11
H 3
RBI 1
.950 OPS
AVG .350
OBP .350
SLG .600
HR 1
AB 20
H 7
RBI 2
.938 OPS
AVG .284
OBP .303
SLG .635
HR 8
AB 74
H 21
RBI 15
AVG .267
OBP .267
SLG .633
HR 3
AB 30
H 8
RBI 4
.875 OPS
AVG .250
OBP .250
SLG .625
HR 2
AB 16
H 4
RBI 2
.864 OPS
AVG .364
OBP .500
SLG .364
HR 0
AB 11
H 4
RBI 1
.858 OPS
AVG .273
OBP .300
SLG .558
HR 5
AB 77
H 21
RBI 11
.857 OPS
AVG .235
OBP .328
SLG .529
HR 4
AB 51
H 12
RBI 9
.853 OPS
AVG .214
OBP .353
SLG .500
HR 1
AB 14
H 3
RBI 3
.845 OPS
AVG .333
OBP .429
SLG .417
HR 0
AB 12
H 4
RBI 0
.842 OPS
AVG .276
OBP .329
SLG .513
HR 3
AB 76
H 21
RBI 8
AVG .279
OBP .323
SLG .475
HR 3
AB 61
H 17
RBI 10
AVG .278
OBP .298
SLG .481
HR 3
AB 54
H 15
RBI 9
.750 OPS
AVG .250
OBP .250
SLG .500
HR 1
AB 20
H 5
RBI 3
.733 OPS
AVG .220
OBP .258
SLG .475
HR 4
AB 59
H 13
RBI 7
.731 OPS
AVG .214
OBP .267
SLG .464
HR 2
AB 28
H 6
RBI 3
.688 OPS
AVG .313
OBP .313
SLG .375
HR 0
AB 16
H 5
RBI 2
.685 OPS
AVG .200
OBP .385
SLG .300
HR 0
AB 10
H 2
RBI 1
.651 OPS
AVG .215
OBP .282
SLG .369
HR 2
AB 65
H 14
RBI 3
AVG .239
OBP .282
SLG .358
HR 1
AB 67
H 16
RBI 9
.640 OPS
AVG .167
OBP .474
SLG .167
HR 0
AB 12
H 2
RBI 0
.585 OPS
AVG .200
OBP .385
SLG .200
HR 0
AB 10
H 2
RBI 0
.585 OPS
AVG .200
OBP .385
SLG .200
HR 0
AB 10
H 2
RBI 0
.583 OPS
AVG .250
OBP .250
SLG .333
HR 0
AB 12
H 3
RBI 1
.536 OPS
AVG .167
OBP .286
SLG .250
HR 0
AB 12
H 2
RBI 3
.514 OPS
AVG .174
OBP .296
SLG .217
HR 0
AB 23
H 4
RBI 2
.510 OPS
AVG .143
OBP .167
SLG .343
HR 2
AB 35
H 5
RBI 6
.487 OPS
AVG .083
OBP .154
SLG .333
HR 1
AB 12
H 1
RBI 1
.282 OPS
AVG .100
OBP .182
SLG .100
HR 0
AB 10
H 1
RBI 0
.167 OPS
AVG .083
OBP .083
SLG .083
HR 0
AB 12
H 1
RBI 0

Understanding Opponent Splits

Opponent splits reveal how a hitter performs against each MLB team. These splits capture the combined effect of a team's pitching staff, defensive alignment, and park factors. Some hitters consistently dominate certain teams due to favorable pitching matchups.

Team-Specific Matchups

Some hitters own certain teams. This often reflects favorable matchups against that team's pitching staff — handedness advantages, pitch-type weaknesses, or familiarity from division play. Division rivals face each other 13+ times per season, creating larger sample sizes.

Stacking by Opponent

For DFS, opponent splits help identify entire lineups to stack. If multiple hitters on a team have strong splits against today's opponent, that's a high-correlation stack. Combine with the opposing starter's recent form for maximum edge.

Sample Size Caution

Opponent splits against non-division teams can be small (3-4 games per season). Weight division matchups more heavily since they have 13+ games of data. A .400 AVG in 10 at-bats against a team is interesting but not predictive on its own.

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

How reliable are opponent batting splits?
Division opponent splits are the most reliable since hitters face those teams 13+ times per season. Interleague and non-division splits have smaller sample sizes (3-7 games) and should be weighted less heavily. Always check the at-bat count before drawing conclusions.
How do I use opponent splits for DFS stacks?
Find teams where multiple hitters have strong splits against today's opponent. Stack 3-4 hitters from that team in your DFS lineup for high correlation. This works especially well when the opposing starter is also weak against that lineup's handedness profile.
Why do some hitters crush certain teams?
It usually comes down to pitching staff matchups. A hitter might face favorable pitch types, have platoon advantages against most of a team's rotation, or thrive at that team's home park. Division familiarity also plays a role — hitters see the same pitchers repeatedly.
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