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Players 2019 final

Kickers — 2019 · ranked by FG made

#PlayerTmG Grade FG/gm Att/gm FGM FGA FG% 50+ Long PAT Pts/gm
1 Harrison Butker KC 16 76 2.12 2.38 34 38 89.5% 3 56 45/48 9.2
2 Josh Lambo JAX 16 57 2.06 2.12 33 34 97.1% 4 56 19/20 7.4
3 Wil Lutz NO 16 72 2.00 2.25 32 36 88.9% 3 58 48/49 9.0
4 Zane Gonzalez ARI 16 64 1.94 2.19 31 35 88.6% 2 54 34/35 7.9
5 Chris Boswell PIT 16 52 1.81 1.94 29 31 93.5% 1 51 28/28 7.2
6 Brandon McManus DEN 16 52 1.81 2.12 29 34 85.3% 4 53 25/26 7.0
7 Justin Tucker BAL 16 69 1.75 1.81 28 29 96.6% 1 51 57/59 8.8
8 Matt Gay TB 16 64 1.69 2.19 27 35 77.1% 5 58 43/48 7.8
9 Dan Bailey MIN 16 62 1.69 1.81 27 29 93.1% 3 50 40/44 7.6
10 Randy Bullock CIN 16 46 1.69 1.94 27 31 87.1% 1 57 24/25 6.6
11 Matt Prater DET 16 56 1.62 1.94 26 31 83.9% 7 56 35/36 7.1
12 Joey Slye CAR 16 49 1.56 2.00 25 32 78.1% 8 55 31/35 6.6
13 Austin Seibert CLE 16 46 1.56 1.81 25 29 86.2% 1 53 30/35 6.6
14 Dustin Hopkins WAS 16 36 1.56 1.88 25 30 83.3% 2 53 21/22 6.0
15 Greg Zuerlein LAR 16 54 1.50 2.06 24 33 72.7% 5 58 42/42 7.1
16 Jason Myers SEA 16 48 1.44 1.75 23 28 82.1% 2 54 40/44 6.8
17 Jason Sanders MIA 16 38 1.44 1.88 23 30 76.7% 3 54 29/30 6.1
18 Eddy Pineiro CHI 16 36 1.44 1.75 23 28 82.1% 2 53 27/29 6.0
19 Younghoe Koo ATL 8 83 2.88 3.25 23 26 88.5% 1 50 15/16 10.5
20 Robbie Gould SF 13 67 1.77 2.38 23 31 74.2% 0 47 41/42 8.5
21 Steven Hauschka BUF 16 33 1.38 1.75 22 28 78.6% 1 51 30/32 6.0
22 Mason Crosby GB 16 47 1.38 1.50 22 24 91.7% 1 54 40/41 6.6
23 Jake Elliott PHI 16 43 1.38 1.62 22 26 84.6% 2 53 35/37 6.3
24 Brett Maher DAL 13 59 1.54 2.31 20 30 66.7% 4 63 36/36 7.4
25 Ka'imi Fairbairn HOU 16 43 1.25 1.56 20 25 80.0% 3 54 40/45 6.2
26 Sam Ficken NYJ 15 28 1.27 1.80 19 27 70.4% 3 54 23/26 5.3
27 Daniel Carlson LV 16 31 1.19 1.62 19 26 73.1% 0 48 34/36 5.7
28 Chase McLaughlin SF 11 55 1.64 2.09 18 23 78.3% 3 50 26/26 7.3
29 Adam Vinatieri IND 12 40 1.42 2.08 17 25 68.0% 2 55 22/28 6.1
30 Nick Folk NE 7 60 2.00 2.43 14 17 82.4% 1 51 12/12 7.7
31 Mike Badgley LAC 8 51 1.62 2.00 13 16 81.2% 0 49 19/19 7.2
32 Aldrick Rosas NYG 16 17 0.75 1.06 12 17 70.6% 0 45 35/39 4.4
33 Kai Forbath NE 4 2.75 2.75 11 11 100.0% 1 50 11/12 11.0
34 Matt Bryant ATL 7 41 1.29 2.00 9 14 64.3% 2 52 14/15 5.9
35 Stephen Gostkowski NE 4 1.75 2.00 7 8 87.5% 0 41 11/15 8.0
36 Mike Nugent NE 4 1.25 2.00 5 8 62.5% 0 37 15/16 7.5
37 Cairo Santos TEN 5 0.80 1.80 4 9 44.4% 1 53 12/12 4.8
38 Ryan Succop TEN 6 24 0.17 1.00 1 6 16.7% 0 31 24/25 4.5

What this is. Finished box-score production from 2019, 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.