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MLB
Fantasy Tools
Player Consistency
MLB Player Consistency 2025
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
Aaron Judge (CF)
NYY
54%
152
179
.331
53
160
51
17
68
25
82
Bo Bichette (SS)
TOR
53%
139
181
.311
18
91
52
16
57
27
74
Josh Naylor (1B)
SEA
52%
147
160
.295
20
83
42
6
59
24
76
Vladimir Guerrero Jr. (1B)
TOR
51%
156
172
.292
23
94
51
13
60
20
80
Yandy Diaz (1B)
TB
51%
150
175
.300
25
92
53
15
53
22
76
Shohei Ohtani (SP)
LAD
51%
158
172
.282
55
187
43
12
65
26
80
Julio Rodriguez (CF)
SEA
51%
160
174
.267
32
152
53
10
57
27
81
Juan Soto (RF)
NYM
51%
160
152
.263
43
137
39
7
71
22
81
Bobby Witt Jr. (SS)
KC
50%
157
184
.295
23
125
47
7
60
23
79
Pete Alonso (1B)
NYM
50%
162
170
.272
38
162
47
11
71
33
81
Vinnie Pasquantino (1B)
KC
50%
160
164
.264
32
107
41
11
68
27
80
Will Smith (C)
LAD
50%
110
107
.296
17
89
35
4
42
15
55
Corey Seager (SS)
TEX
50%
102
103
.271
21
87
32
4
34
13
51
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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