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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.
Brian Navarreto headshot
Batting #9
.515 OPS
AVG .163
OBP .213
SLG .302
HR 1
AB 43
H 7
RBI 3
Jonathan Aranda headshot
Batting #4
.514 OPS
AVG .167
OBP .348
SLG .167
HR 0
AB 18
H 3
RBI 2
Ryan Vilade headshot
Batting #2
.514 OPS
AVG .216
OBP .259
SLG .255
HR 0
AB 51
H 11
RBI 4
Daniel Schneemann headshot
Batting #6
.514 OPS
AVG .187
OBP .274
SLG .240
HR 1
AB 75
H 14
RBI 6
Troy Johnston headshot
Batting #9
.513 OPS
AVG .188
OBP .263
SLG .250
HR 0
AB 16
H 3
RBI 2
Brett Baty headshot
Batting #6
.513 OPS
AVG .181
OBP .263
SLG .250
HR 1
AB 72
H 13
RBI 7
Nick Yorke headshot
Batting #7
.513 OPS
AVG .235
OBP .278
SLG .235
HR 0
AB 17
H 4
RBI 3
Christian Walker headshot
Batting #6
.513 OPS
AVG .161
OBP .198
SLG .315
HR 5
AB 124
H 20
RBI 16
Braxton Fulford headshot
Batting #7
.513 OPS
AVG .190
OBP .227
SLG .286
HR 0
AB 21
H 4
RBI 2
Garrett Mitchell headshot
Batting #1
.512 OPS
AVG .190
OBP .288
SLG .224
HR 0
AB 58
H 11
RBI 2
Sung-Mun Song headshot
Batting #8
.512 OPS
AVG .182
OBP .308
SLG .205
HR 0
AB 44
H 8
RBI 4
Jonny DeLuca headshot
Batting #7
.512 OPS
AVG .189
OBP .268
SLG .243
HR 0
AB 37
H 7
RBI 1
Nick Allen headshot
Batting #8
.512 OPS
AVG .220
OBP .258
SLG .254
HR 0
AB 59
H 13
RBI 8
Thomas Saggese headshot
Batting #7
.511 OPS
AVG .200
OBP .288
SLG .222
HR 0
AB 45
H 9
RBI 2
Braden Shewmake headshot
Batting #6
.511 OPS
AVG .192
OBP .241
SLG .269
HR 0
AB 26
H 5
RBI 3
Yainer Diaz headshot
Batting #6
.511 OPS
AVG .225
OBP .242
SLG .270
HR 0
AB 89
H 20
RBI 3
Ivan Herrera headshot
Batting #4
.510 OPS
AVG .147
OBP .216
SLG .294
HR 1
AB 34
H 5
RBI 3
Xander Bogaerts headshot
Batting #3
.510 OPS
AVG .143
OBP .224
SLG .286
HR 2
AB 42
H 6
RBI 8
Jakob Marsee headshot
Batting #3
.510 OPS
AVG .158
OBP .273
SLG .237
HR 0
AB 38
H 6
RBI 1
Tyler Heineman headshot
Batting #8
.509 OPS
AVG .222
OBP .250
SLG .259
HR 0
AB 27
H 6
RBI 3
Daylen Lile headshot
Batting #7
.509 OPS
AVG .189
OBP .184
SLG .324
HR 1
AB 37
H 7
RBI 7
David Fry headshot
Batting #5
.509 OPS
AVG .197
OBP .279
SLG .230
HR 0
AB 61
H 12
RBI 2
Will Benson headshot
Batting #8
.509 OPS
AVG .167
OBP .259
SLG .250
HR 0
AB 24
H 4
RBI 1
Carlos Narvaez headshot
Batting #8
.508 OPS
AVG .172
OBP .258
SLG .250
HR 2
AB 116
H 20
RBI 7
Cal Raleigh headshot
Batting #3
.508 OPS
AVG .200
OBP .308
SLG .200
HR 0
AB 10
H 2
RBI 1

Understanding Batting Order Splits

Batting order splits show how a hitter performs in different lineup positions. Lineup spot affects the number of plate appearances, the runners-on-base context, and often reflects the manager's confidence level in the hitter.

Top of the Order (1-3)

The leadoff spot prioritizes on-base skills. The 2-hole is increasingly used for the team's best overall hitter. Cleanup (3-hole) hitters see the most RBI opportunities. Hitters in these spots get the most plate appearances per game — about 0.5 more PA than the bottom of the order.

Middle of the Order (4-6)

The 4-5-6 spots are the traditional power slots. These hitters often bat with runners on base, inflating their RBI totals. Some hitters perform better in these "protected" lineup spots, while others are more productive when they bat higher with the table set for them.

DFS Implications

For DFS, lineup position directly affects projected plate appearances. A hitter batting 2nd will average ~4.5 PA/game vs ~3.8 PA for a 9th-place hitter. Check lineup cards and batting order splits together — some hitters thrive in certain spots and struggle in others.

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

Which batting order position gets the most plate appearances?

The leadoff (1st) and 2-hole hitters get the most plate appearances per game, averaging about 4.5-4.7 PA. The 9-hole gets the fewest at roughly 3.7-3.9 PA. Over a full season, this difference adds up to 80-100 extra PA for top-of-the-order hitters.

How do batting order splits affect DFS projections?

Lineup position is one of the strongest predictors of DFS scoring. Higher lineup spots mean more PA (more chances to score points), better RBI opportunities, and more runs scored. Always check confirmed lineups before lock — a hitter dropping from 2nd to 7th loses significant projected value.

Do hitters actually perform differently based on lineup spot?

Yes. Some hitters thrive in specific lineup roles. Leadoff hitters may focus more on getting on base, while cleanup hitters look to drive in runs. When managers move hitters up or down, their approach and production can shift. The sample sizes here are important — a hitter may only have 50 PA batting 8th.
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