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MLB
Fantasy Tools
Player Consistency
MLB Player Consistency 2026
Season:
2026
2025
2024
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
2011
2010
2009
2008
2007
2006
Min. Hits:
Max. WHIP:
Min. RBIs:
Min. Strikeout %:
Min. Consistency %:
Position:
Batter
Pitcher
1B
2B
3B
C
SS
LF
CF
RF
DH
Apply
Player
Team
Con %
GP
Hits
AVG
HR
SO
2+ Hits
3+ Hits
1+ RBIs
2+ RBIs
Either
Otto Lopez (SS)
MIA
56%
98
131
.335
9
55
40
13
36
8
55
Nick Gonzales (3B)
PIT
54%
96
117
.322
6
69
40
9
33
11
52
Freddie Freeman (1B)
LAD
54%
98
114
.307
15
69
35
7
36
12
53
Alec Burleson (1B)
STL
54%
99
109
.286
14
66
32
10
45
15
53
Gabriel Moreno (C)
AZ
53%
74
75
.295
7
44
23
4
28
10
39
Luis Arraez (2B)
SF
53%
93
121
.326
4
19
37
11
30
7
49
Yandy Diaz (DH)
TB
53%
95
111
.304
14
62
30
9
41
14
50
Matt Olson (1B)
ATL
53%
99
104
.269
25
102
27
5
38
15
52
Dillon Dingler (C)
DET
52%
94
95
.271
22
83
29
8
39
17
49
Ketel Marte (2B)
AZ
52%
96
101
.262
19
58
29
5
38
17
50
CJ Abrams (SS)
WAS
52%
98
109
.300
26
90
30
9
45
20
51
Elly De La Cruz (SS)
CIN
51%
81
88
.276
16
101
24
6
28
8
41
Josh Bell (DH)
MIN
51%
97
86
.245
13
87
20
4
39
16
49
Shohei Ohtani (SP)
LAD
50%
96
101
.285
20
98
30
7
40
11
48
Jackson Chourio (LF)
MIL
50%
66
78
.284
13
70
19
5
26
8
33
Oneil Cruz (CF)
PIT
50%
64
66
.264
14
98
18
5
26
11
32
Either
How many times they had either 2+ Hits and / or a 1+ RBIs.
Variance (Standard Deviation)
This reflects the differential of how many points a player scores vs the player's scoring average per game.
Shake (Coefficient of Variance)
To further emphasize consistency, simply divide that average variance by the player's points per game. This gives a percentage between 0% and 100%. 0% is perfectly consistent, while 100% is completely inconsistent.
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