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Fantasy Tools
Player Consistency
MLB Player Consistency 2024
Season:
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
Shohei Ohtani (DH)
LAD
56%
146
168
.290
47
151
54
9
68
30
82
Bobby Witt Jr. (SS)
KC
55%
150
198
.331
31
100
58
19
64
20
82
Jose Ramirez (3B)
CLE
54%
147
157
.272
35
77
43
9
68
28
79
Fernando Tatis Jr. (RF)
SD
53%
91
99
.281
18
82
23
9
36
7
48
Brent Rooker (LF)
OAK
53%
133
150
.301
37
160
43
10
59
30
70
Lourdes Gurriel Jr. (LF)
AZ
52%
125
133
.274
17
98
40
5
46
16
65
Yainer Diaz (C)
HOU
52%
137
162
.301
16
96
47
15
53
20
71
Marcell Ozuna (DH)
ATL
52%
149
169
.304
37
157
47
8
55
27
77
Luis Arraez (2B)
SD
51%
140
192
.322
4
26
60
18
34
8
72
Manny Machado (3B)
SD
51%
141
151
.275
26
111
44
9
56
26
72
Alec Bohm (3B)
PHI
51%
132
148
.290
13
77
38
10
53
21
67
Aaron Judge (RF)
NYY
51%
148
169
.321
53
159
51
10
67
40
75
Bryan Reynolds (LF)
PIT
50%
144
163
.282
22
143
47
8
54
21
72
Carlos Correa (SS)
MIN
50%
76
87
.310
13
53
21
10
31
11
38
Heliot Ramos (LF)
SF
50%
110
115
.267
21
126
35
5
46
16
55
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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