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Fantasy Tools
Player Consistency
MLB Player Consistency 2025
Season:
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
Will Smith (C)
LAD
58%
72
78
.326
12
53
27
2
32
10
42
Aaron Judge (CF)
NYY
57%
91
122
.363
34
103
37
12
42
17
52
Josh Naylor (1B)
AZ
55%
83
93
.296
11
44
25
5
37
15
46
Manny Machado (3B)
SD
53%
92
101
.287
15
67
28
6
37
12
49
Luis Garcia Jr. (2B)
WAS
53%
81
76
.266
7
43
21
4
32
9
43
Jacob Wilson (SS)
ATH
53%
85
111
.335
9
26
35
11
28
10
45
Vladimir Guerrero Jr. (1B)
TOR
53%
91
94
.276
12
55
28
4
33
9
48
James Wood (LF)
WAS
51%
92
99
.287
24
108
24
9
39
17
47
Bobby Witt Jr. (SS)
KC
51%
94
109
.295
13
79
27
4
36
12
48
Byron Buxton (CF)
MIN
51%
75
77
.270
20
85
25
6
31
14
38
Yandy Diaz (1B)
TB
51%
87
101
.287
14
54
30
9
32
16
44
Kyle Tucker (RF)
CHC
51%
91
97
.285
17
56
27
9
36
14
46
Kyle Schwarber (LF)
PHI
51%
93
86
.253
29
107
19
3
43
18
47
Pete Alonso (1B)
NYM
50%
92
100
.290
21
90
28
5
40
19
46
Jose Ramirez (3B)
CLE
50%
88
99
.298
17
41
31
5
32
7
44
Seiya Suzuki (RF)
CHC
50%
88
91
.259
25
106
27
7
40
23
44
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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