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Tools
> Consistency Calculator
Tight End Consistency Rankings
2011-2012 Regular Season
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Minimum Games Played
4
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What is a
Consistency
Rank Score?
Variables:
Teams in League
8
10
12
14
16
Required TE Starters
1
2
3
4
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110 players found. Displaying page 1 of 3.
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Player
Sort First:
Last:
Team
G
Score
FPts/G
Elite
#1
Subpar
Baseline FF Point Values
>=11.26
>=6.44
<6.44
1.
Jason Witten
DAL
32
9.13
7.69
18.75%
50.00%
50.00%
2.
Kellen Winslow
TB
17
0.00
5.26
5.88%
23.53%
76.47%
3.
Kris Wilson
BAL
14
0.00
0.00
0.00%
0.00%
100.00%
4.
D.J. Williams
GB
20
-0.35
0.35
0.00%
0.00%
100.00%
5.
Ben Watson
CLE
29
-1.15
4.18
3.45%
17.24%
82.76%
6.
Delanie Walker
SF
30
0.30
3.01
3.33%
26.67%
73.33%
7.
Taylor Thompson
TEN
9
-0.51
0.51
0.00%
0.00%
100.00%
8.
David Thomas
NO
12
0.00
2.85
0.00%
25.00%
75.00%
9.
Tim Tebow
DEN
25
1.07
4.47
12.00%
28.00%
72.00%
10.
Ryan Taylor
GB
16
-0.47
0.47
0.00%
0.00%
100.00%
11.
Jacob Tamme
IND
31
-0.66
2.94
0.00%
19.35%
80.65%
12.
Luke Stocker
TB
26
-1.22
1.22
0.00%
0.00%
100.00%
13.
Craig Stevens
TEN
29
-1.40
1.93
0.00%
6.90%
93.10%
14.
Kory Sperry
SD
16
-0.20
0.20
0.00%
0.00%
100.00%
15.
Matt Spaeth
CHI
21
-0.53
1.23
0.00%
14.29%
85.71%
16.
Stephen Spach
STL
10
-0.02
0.02
0.00%
0.00%
100.00%
17.
Alex Smith
CLE
23
-0.85
1.03
0.00%
4.35%
95.65%
18.
Lee Smith
BUF
14
-1.03
1.03
0.00%
0.00%
100.00%
19.
Jeremy Shockey
CAR
15
-0.93
4.63
0.00%
20.00%
80.00%
20.
Visanthe Shiancoe
MIN
17
-1.02
3.46
0.00%
17.65%
82.35%
21.
Tony Scheffler
DET
30
0.43
4.25
3.33%
26.67%
73.33%
22.
Weslye Saunders
PIT
16
-0.56
0.56
0.00%
0.00%
100.00%
23.
Kyle Rudolph
MIN
31
3.19
4.72
12.90%
38.71%
61.29%
24.
Dante Rosario
MIA
26
-1.22
1.51
3.85%
3.85%
96.15%
25.
Andrew Quarless
GB
10
-0.36
0.36
0.00%
0.00%
100.00%
26.
Zach Potter
JAC
20
-0.28
0.28
0.00%
0.00%
100.00%
27.
Leonard Pope
KC
19
-1.33
2.29
0.00%
10.53%
89.47%
28.
Dennis Pitta
BAL
32
1.96
5.23
12.50%
31.25%
68.75%
29.
Zack Pianalto
TB
11
-0.36
0.36
0.00%
0.00%
100.00%
30.
John Phillips
DAL
22
-0.80
1.25
0.00%
9.09%
90.91%
31.
Brandon Pettigrew
DET
29
6.50
6.28
10.34%
48.28%
51.72%
32.
Justin Peelle
SF
14
-0.14
0.14
0.00%
0.00%
100.00%
33.
David Paulson
PIT
8
-0.64
0.64
0.00%
0.00%
100.00%
34.
Logan Paulsen
WAS
29
-1.26
1.74
0.00%
6.90%
93.10%
35.
Niles Paul
WAS
23
-0.87
1.06
0.00%
4.35%
95.65%
36.
Bear Pascoe
NYG
24
-0.80
0.96
0.00%
4.17%
95.83%
37.
Michael Palmer
ATL
21
-0.82
1.01
0.00%
4.76%
95.24%
38.
Greg Olsen
CAR
32
3.49
6.20
18.75%
34.38%
65.63%
39.
Jake O'Connell
KC
9
-0.78
0.78
0.00%
0.00%
100.00%
40.
Brandon Myers
LV
32
-1.05
3.74
9.38%
15.63%
84.38%
41.
Matthew Mulligan
NYJ
24
-0.70
0.84
0.00%
4.17%
95.83%
42.
Cameron Morrah
SEA
8
-0.94
0.94
0.00%
0.00%
100.00%
43.
Evan Moore
CLE
22
-0.71
2.59
0.00%
18.18%
81.82%
44.
Tony Moeaki
KC
14
-0.26
3.66
7.14%
21.43%
78.57%
45.
Zach Miller
SEA
31
-1.60
2.61
0.00%
9.68%
90.32%
46.
Heath Miller
PIT
31
7.26
6.62
16.13%
48.39%
51.61%
47.
Mike McNeill
IND
9
-0.34
0.34
0.00%
0.00%
100.00%
48.
Randy McMichael
SD
23
-1.40
1.40
0.00%
0.00%
100.00%
49.
Anthony McCoy
SEA
30
-0.96
2.06
0.00%
13.33%
86.67%
50.
Jeron Mastrud
MIA
14
-0.06
0.06
0.00%
0.00%
100.00%
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