Players 2016 final

1

Justin Tucker

BAL· 16 G

38 FG made

2

Nick Novak

HOU· 16 G

35 FG made

3

Caleb Sturgis

PHI· 16 G

35 FG made

4

Matt Bryant

ATL· 16 G

34 FG made

5

Dustin Hopkins

WAS· 16 G

34 FG made

Kickers — 2016 · ranked by FG made

#	Player	Tm	G	Grade	FG/gm	Att/gm	FGM	FGA	FG%	50+	Long	PAT	Pts/gm
1	Justin Tucker	BAL	16	75	2.38	2.44	38	39	97.4%	10	57	27/27	8.8
2	Nick Novak	HOU	16	59	2.19	2.56	35	41	85.4%	3	53	22/25	7.9
3	Caleb Sturgis	PHI	16	69	2.19	2.56	35	41	85.4%	4	55	30/31	8.4
4	Matt Bryant	ATL	16	82	2.12	2.31	34	37	91.9%	6	59	56/57	9.9
5	Dustin Hopkins	WAS	16	72	2.12	2.62	34	42	81.0%	3	53	36/39	8.6
6	Steven Hauschka	SEA	16	56	2.06	2.31	33	37	89.2%	1	53	29/35	8.0
7	Cairo Santos	KC	16	62	1.94	2.19	31	35	88.6%	2	54	36/39	8.1
8	Matt Prater	DET	16	62	1.94	2.25	31	36	86.1%	7	58	31/33	7.8
9	Graham Gano	CAR	16	52	1.88	2.38	30	38	78.9%	3	54	31/34	7.6
10	Sebastian Janikowski	LV	16	55	1.81	2.19	29	35	82.9%	3	56	37/39	7.8
11	Brandon McManus	DEN	16	50	1.81	2.12	29	34	85.3%	3	55	32/33	7.4
12	Wil Lutz	NO	16	66	1.75	2.12	28	34	82.4%	3	57	49/50	8.3
13	Nick Folk	NYJ	16	43	1.69	1.94	27	31	87.1%	2	51	24/26	6.6
14	Jason Myers	JAX	16	48	1.69	2.12	27	34	79.4%	7	56	29/32	6.9
15	Adam Vinatieri	IND	16	65	1.69	1.94	27	31	87.1%	7	54	44/44	7.8
16	Stephen Gostkowski	NE	16	56	1.69	2.00	27	32	84.4%	2	53	46/49	7.9
17	Dan Bailey	DAL	16	59	1.69	2.00	27	32	84.4%	3	56	46/46	7.9
18	Josh Lambo	LAC	16	49	1.62	2.00	26	32	81.2%	0	47	42/46	7.5
19	Mason Crosby	GB	16	51	1.62	1.88	26	30	86.7%	1	53	44/47	7.6
20	Mike Nugent	CIN	13	47	1.77	2.23	23	29	79.3%	0	47	23/29	7.1
21	Ryan Succop	TEN	16	44	1.38	1.50	22	24	91.7%	3	53	39/41	6.6
22	Roberto Aguayo	TB	16	40	1.38	1.94	22	31	71.0%	0	43	32/34	6.1
23	Chandler Catanzaro	ARI	16	45	1.31	1.75	21	28	75.0%	3	60	43/47	6.6
24	Chris Boswell	PIT	15	42	1.40	1.67	21	25	84.0%	0	49	36/36	6.6
25	Cody Parkey	CLE	14	35	1.43	1.79	20	25	80.0%	1	51	20/21	5.7
26	Dan Carpenter	BUF	16	40	1.19	1.56	19	25	76.0%	1	54	40/45	6.1
27	Greg Zuerlein	LAR	16	18	1.19	1.38	19	22	86.4%	2	54	23/23	5.0
28	Phil Dawson	SF	16	31	1.12	1.31	18	21	85.7%	1	53	33/34	5.4
29	Connor Barth	CHI	16	28	1.12	1.44	18	23	78.3%	1	54	31/32	5.3
30	Andrew Franks	MIA	16	34	1.00	1.31	16	21	76.2%	1	55	41/42	5.6
31	Kai Forbath	MIN	7	53	2.14	2.14	15	15	100.0%	1	51	11/14	8.0
32	Blair Walsh	MIN	9	37	1.33	1.78	12	16	75.0%	1	50	15/19	5.7
33	Josh Brown	NYG	5	—	2.20	2.40	11	12	91.7%	0	48	9/9	8.4
34	Robbie Gould	NYG	10	25	1.00	1.00	10	10	100.0%	0	47	20/23	5.0
35	Randy Bullock	PIT	5	—	1.60	1.80	8	9	88.9%	0	44	9/10	6.6

What this is. Finished box-score production from 2016, 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.