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Players 2015 final

Kickers — 2015 · ranked by FG made

#PlayerTmG Grade FG/gm Att/gm FGM FGA FG% 50+ Long PAT Pts/gm
1 Blair Walsh MIN 16 69 2.12 2.44 34 39 87.2% 6 54 33/37 8.4
2 Robbie Gould CHI 16 63 2.06 2.44 33 39 84.6% 7 55 28/29 7.9
3 Stephen Gostkowski NE 16 83 2.06 2.25 33 36 91.7% 4 57 52/52 9.4
4 Justin Tucker BAL 16 59 2.06 2.50 33 40 82.5% 4 52 29/29 8.0
5 Graham Gano CAR 16 72 1.88 2.25 30 36 83.3% 2 52 56/59 9.1
6 Josh Brown NYG 16 66 1.88 2.00 30 32 93.8% 3 53 44/45 8.4
7 Brandon McManus DEN 16 57 1.88 2.19 30 35 85.7% 5 57 35/36 7.8
8 Dan Bailey DAL 16 53 1.88 2.00 30 32 93.8% 5 54 25/25 7.2
9 Cairo Santos KC 16 61 1.88 2.31 30 37 81.1% 4 53 39/41 8.1
10 Chris Boswell PIT 12 76 2.42 2.67 29 32 90.6% 2 51 26/27 9.4
11 Steven Hauschka SEA 16 61 1.81 1.94 29 31 93.5% 6 54 40/44 7.9
12 Chandler Catanzaro ARI 16 66 1.75 1.94 28 31 90.3% 0 47 53/58 8.6
13 Travis Coons CLE 16 42 1.75 2.00 28 32 87.5% 0 47 22/24 6.6
14 Josh Lambo LAC 16 46 1.62 2.00 26 32 81.2% 4 54 28/32 6.6
15 Jason Myers JAX 16 50 1.62 1.88 26 30 86.7% 3 58 32/39 6.9
16 Adam Vinatieri IND 16 47 1.56 1.69 25 27 92.6% 4 55 32/35 6.7
17 Dustin Hopkins WAS 15 54 1.67 1.87 25 28 89.3% 2 54 39/40 7.6
18 Mason Crosby GB 16 48 1.50 1.75 24 28 85.7% 4 56 36/36 6.8
19 Phil Dawson SF 16 33 1.50 1.69 24 27 88.9% 3 54 20/21 5.8
20 Mike Nugent CIN 16 52 1.44 1.75 23 28 82.1% 2 52 48/49 7.3
21 Dan Carpenter BUF 16 42 1.44 1.69 23 27 85.2% 3 52 34/40 6.4
22 Connor Barth TB 12 55 1.92 2.33 23 28 82.1% 3 53 25/26 7.8
23 Matt Prater DET 16 43 1.38 1.50 22 24 91.7% 5 59 36/39 6.4
24 Sebastian Janikowski LV 16 38 1.31 1.62 21 26 80.8% 4 56 38/39 6.3
25 Greg Zuerlein LAR 14 37 1.43 2.14 20 30 66.7% 3 61 26/28 6.1
26 Randy Bullock NYJ 11 51 1.73 2.09 19 23 82.6% 0 49 22/25 7.2
27 Caleb Sturgis PHI 13 49 1.38 1.69 18 22 81.8% 2 53 35/37 6.8
28 Nick Novak HOU 13 40 1.38 1.62 18 21 85.7% 2 51 29/31 6.4
29 Matt Bryant ATL 10 45 1.40 1.80 14 18 77.8% 0 47 26/26 6.8
30 Ryan Succop TEN 16 24 0.88 1.00 14 16 87.5% 1 51 29/31 4.4
31 Nick Folk NYJ 7 58 1.86 2.29 13 16 81.2% 2 55 19/19 8.3
32 Andrew Franks MIA 16 28 0.81 1.00 13 16 81.2% 1 53 33/36 4.5
33 Shayne Graham ATL 5 2.20 2.60 11 13 84.6% 3 54 8/8 8.2
34 Kai Forbath WAS 11 35 0.91 1.36 10 15 66.7% 2 57 34/35 5.8
35 Zach Hocker NO 8 31 1.25 1.75 10 14 71.4% 1 51 12/13 5.2
36 Kyle Brindza TB 4 1.50 3.00 6 12 50.0% 2 58 6/8 6.0
37 Josh Scobee PIT 4 1.50 2.50 6 10 60.0% 0 45 6/7 6.0
38 Jordan Gay BUF 14 17 0.00 0.00 0 0 0 0/0 0.0

What this is. Finished box-score production from 2015, ranked by FG made. Per-game columns divide by games played, not games on the schedule, so a player who missed time is measured on the games he was in — and his season totals still show the games he missed. Minimum 4 games to be ranked, otherwise one big afternoon tops every list.

What it isn’t. None of this is a projection, a pick, or a prop recommendation — it is what already happened. Last season’s rate is a starting point for what a player does in a game, not a forecast of the next one: offense, role, and health all move underneath it. Target share and WOPR describe a player’s share of his own team’s passing game, so they compare roles, not players across teams.

About the grade. 0–100, where 50 is average for the position and 85+ is elite. It is box production, scaled by the defense it came against, pulled toward the positional average when a player has few games, then ranked within position — so a 90 quarterback and a 90 kicker are each elite for their own spot and are not comparable to each other in any other way. It needs 6 games, so players below that show — rather than a number built on a hot month.

What the grade can’t see. There is no charting behind it, so it rewards production over technique: the receiver who ran the route that freed someone else, and the back who picked up the blitz, get nothing for it. It is role-dependent by construction — a back on a run-heavy team gets more chances than an equally good back who touches it half as often. Kickers are not opponent-adjusted, because field goals are contested by distance and weather, not by the defense across the ball. And it grades a season already played; it is not a projection of the next one.

Regular season and postseason are kept separate on purpose. Playoff samples are small and the opponents are better; blending them into a season rate quietly flatters the players who got there. The grade is regular-season only, so it is not offered on the postseason split.