Players 2017 final

1

Robbie Gould

SF· 16 G

39 FG made

2

Greg Zuerlein

LAR· 14 G

38 FG made

3

Harrison Butker

KC· 13 G

38 FG made

4

Stephen Gostkowski

NE· 16 G

37 FG made

5

Ryan Succop

TEN· 16 G

35 FG made

Kickers — 2017 · ranked by FG made

#	Player	Tm	G	Grade	FG/gm	Att/gm	FGM	FGA	FG%	50+	Long	PAT	Pts/gm
1	Robbie Gould	SF	16	69	2.44	2.56	39	41	95.1%	4	52	28/30	9.1
2	Greg Zuerlein	LAR	14	83	2.71	2.86	38	40	95.0%	6	56	44/46	11.3
3	Harrison Butker	KC	13	76	2.92	3.23	38	42	90.5%	4	53	28/28	10.9
4	Stephen Gostkowski	NE	16	72	2.31	2.50	37	40	92.5%	4	62	45/47	9.8
5	Ryan Succop	TEN	16	60	2.19	2.62	35	42	83.3%	2	52	31/33	8.5
6	Chris Boswell	PIT	16	66	2.19	2.38	35	38	92.1%	4	53	37/39	8.9
7	Matt Bryant	ATL	16	63	2.12	2.44	34	39	87.2%	8	57	35/35	8.6
8	Justin Tucker	BAL	16	66	2.12	2.31	34	37	91.9%	5	57	39/39	8.8
9	Phil Dawson	ARI	16	53	2.00	2.50	32	40	80.0%	4	57	23/26	7.4
10	Kai Forbath	MIN	16	58	2.00	2.38	32	38	84.2%	6	53	34/39	8.1
11	Wil Lutz	NO	16	62	1.94	2.25	31	36	86.1%	4	53	47/50	8.8
12	Matt Prater	DET	16	59	1.88	2.19	30	35	85.7%	7	58	40/41	8.1
13	Graham Gano	CAR	16	50	1.81	1.88	29	30	96.7%	0	48	34/37	7.6
14	Steven Hauschka	BUF	16	53	1.81	2.06	29	33	87.9%	7	56	29/29	7.2
15	Adam Vinatieri	IND	15	51	1.93	2.27	29	34	85.3%	5	54	22/24	7.3
16	Jake Elliott	PHI	15	57	1.73	2.07	26	31	83.9%	5	61	39/42	7.8
17	Chandler Catanzaro	NYJ	16	46	1.56	1.88	25	30	83.3%	2	57	29/29	6.5
18	Brandon McManus	DEN	16	43	1.50	2.00	24	32	75.0%	3	53	27/27	6.2
19	Cody Parkey	MIA	16	35	1.31	1.44	21	23	91.3%	1	54	26/29	5.6
20	Blair Walsh	SEA	16	41	1.31	1.81	21	29	72.4%	0	49	37/38	6.2
21	Ka'imi Fairbairn	HOU	16	38	1.25	1.56	20	25	80.0%	3	55	32/35	5.8
22	Josh Lambo	JAX	10	55	1.90	2.00	19	20	95.0%	2	56	22/24	7.9
23	Patrick Murray	TB	12	48	1.58	1.92	19	23	82.6%	2	50	21/22	6.5
24	Randy Bullock	CIN	15	37	1.20	1.33	18	20	90.0%	1	51	31/33	5.7
25	Aldrick Rosas	NYG	16	24	1.12	1.56	18	25	72.0%	3	52	20/23	4.6
26	Giorgio Tavecchio	LV	16	31	1.00	1.31	16	21	76.2%	3	53	33/34	5.1
27	Dan Bailey	DAL	12	42	1.25	1.67	15	20	75.0%	3	56	26/28	5.9
28	Zane Gonzalez	CLE	16	17	0.94	1.25	15	20	75.0%	2	54	25/26	4.4
29	Mason Crosby	GB	16	28	0.94	1.19	15	19	78.9%	1	50	33/35	4.9
30	Dustin Hopkins	WAS	8	49	1.75	2.12	14	17	82.4%	0	49	18/19	7.5
31	Mike Nugent	DAL	8	45	1.38	1.62	11	13	84.6%	1	55	15/17	6.0
32	Connor Barth	CHI	10	33	1.10	1.60	11	16	68.8%	1	54	17/17	5.0
33	Jason Myers	JAX	6	54	1.83	2.50	11	15	73.3%	0	47	15/17	8.0
34	Nick Rose	WAS	10	40	1.10	1.40	11	14	78.6%	1	55	23/26	5.6
35	Nick Novak	LAC	7	47	1.29	1.86	9	13	69.2%	1	50	17/18	6.3
36	Nick Folk	TB	4	—	1.50	2.75	6	11	54.5%	1	50	7/9	6.2
37	Cairo Santos	KC	5	—	0.80	1.00	4	5	80.0%	0	39	14/14	5.2
38	Younghoe Koo	LAC	4	—	0.75	1.50	3	6	50.0%	0	41	9/9	4.5

What this is. Finished box-score production from 2017, 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.