NFL Player Leaderboard

This week's players: projected workload, the matchup, and the recent usage behind it.

Usage

WR · 121 players

Week 3 projection · usage over the last 4 played weeks

			Week 3 · projected					Usage · last 4 played weeks
#	Player	Team	Matchup	Tgt	Rec	Rec yds	TD	G	Tgt/g	Tgt sh	WOPR	aDOT	Snap%
1	WRAmon-Ra St. Brown	DET	vsNYJ×0.98	10.7	7.5	87	50%	2	13.5	35.1%	0.80	8.1	93%
2	WRChris Olave	NO	vsLV×1.04	9.9	6.4	83	39%	2	11.5	28.1%	0.76	14.7	85%
3	WRJaxon Smith-Njigba	SEA	@WAS×1.06	8.4	5.9	82	44%	2	11.0	44.1%	1.02	9.0	79%
4	WRGarrett Wilson	NYJ	@DET×1.07	8.6	5.5	70	35%	2	7.0	24.9%	0.64	10.9	82%
5	WRChristian Watson	GB	vsATL×1.01	7.8	4.6	70	42%	3	9.7	25.8%	0.60	10.5	82%
6	WRDK Metcalf	PIT	vsCIN×1.02	8.5	4.8	68	29%	2	9.5	25.7%	0.66	14.0	97%
7	WRDeVonta Smith	PHI	@CHI×1.04	7.7	5.2	67	30%	2	9.5	32.8%	0.84	14.1	92%
8	WRJosh Downs	IND	vsHOU×1.04	8.5	5.5	66	29%	2	6.5	21.9%	0.55	8.4	86%
9	WRJa'Marr Chase	CIN	@PIT×1.00	8.1	5.5	66	39%	2	6.5	20.4%	0.52	8.8	91%
10	WRCeeDee Lamb	DAL	vsBAL×0.94	8.2	5.3	65	38%	2	8.5	27.8%	0.71	13.3	78%
11	WRTetairoa McMillan	CAR	@CLE×0.98	7.9	4.7	64	31%	2	9.0	27.4%	0.67	13.9	81%
12	WRDavante Adams	LA	@DEN×0.92	9.0	5.1	63	44%	2	8.0	27.8%	0.73	16.9	60%
13	WRRashod Bateman	BAL	@DAL×1.01	7.4	4.5	61	39%	2	5.0	17.6%	0.43	14.8	86%
14	WRJustin Jefferson	MIN	@TB×1.01	7.0	4.4	58	30%	2	7.5	35.4%	0.89	11.4	96%
15	WRDrake London	ATL	@GB×1.04	7.0	4.3	58	28%	3	6.3	26.9%	0.66	7.5	84%
16	WRGeorge Pickens	DAL	vsBAL×0.94	6.9	4.4	57	33%	2	7.0	22.9%	0.58	13.4	80%
17	WRMichael Pittman	PIT	vsCIN×1.02	7.3	4.8	56	26%	1	3.0	8.1%	0.18	11.0	88%
18	WRTee Higgins	CIN	@PIT×1.00	6.7	4.0	55	35%	2	8.0	25.0%	0.74	13.1	72%
19	WRJameson Williams	DET	vsNYJ×0.98	6.1	3.8	54	28%	2	6.5	16.8%	0.52	13.6	91%
20	WRJalen Coker	CAR	@CLE×0.98	6.2	4.3	53	28%	2	9.0	27.3%	0.58	9.6	80%
21	WRMatthew Golden	GB	vsATL×1.01	6.3	4.0	53	24%	3	10.0	24.7%	0.64	13.9	83%
22	WRRashee Rice	KC	@MIA×1.03	6.3	4.3	52	35%	2	4.0	11.0%	0.24	6.4	81%
23	WRTerry McLaurin	WAS	vsSEA×0.96	6.8	4.1	52	22%	2	6.5	20.1%	0.48	13.5	78%
24	WRParker Washington	JAX	vsNE×0.94	6.6	4.1	52	32%	2	9.0	35.7%	0.89	15.5	71%
25	WRLadd McConkey	LAC	@BUF×0.93	6.6	4.3	52	30%	2	5.0	18.7%	0.45	13.1	48%
26	WRKayshon Boutte	HOU	@IND×1.03	5.7	3.6	51	25%	2	3.5	7.7%	0.20	14.0	59%
27	WRXavier Hutchinson	HOU	@IND×1.03	6.8	3.9	51	22%	2	7.5	17.1%	0.40	11.3	69%
28	WRJaylen Waddle	DEN	vsLA×0.98	6.1	3.9	51	24%	2	6.5	22.8%	0.59	12.8	68%
29	WRStefon Diggs	WAS	vsSEA×0.96	6.6	4.6	50	20%	2	7.5	24.3%	0.53	10.3	57%
30	WRMalik Nabers	NYG	vsTEN×1.02	6.4	3.9	50	22%	2	6.5	21.8%	0.55	13.8	63%
31	WRMike Evans	SF	vsARI×0.99	6.3	3.8	49	37%	2	5.0	17.4%	0.47	9.5	65%
32	WRMichael Wilson	ARI	@SF×0.99	6.2	3.9	49	24%	2	7.0	22.9%	0.61	9.5	90%
33	WREmeka Egbuka	TB	vsMIN×1.00	6.2	3.5	48	26%	2	5.5	18.7%	0.55	14.5	86%
34	WRDenzel Boston	CLE	vsCAR×1.02	5.5	3.4	46	24%	2	5.5	20.8%	0.68	15.8	93%
35	WRKhalil Shakir	BUF	vsLAC×1.01	5.8	4.2	46	25%	2	6.0	21.4%	0.47	9.3	51%
36	WRAdonai Mitchell	NYJ	@DET×1.07	5.8	3.1	46	20%	2	7.5	23.2%	0.72	15.8	75%
37	WRRome Odunze	CHI	vsPHI×0.99	5.8	3.2	45	21%	2	3.5	12.4%	0.37	19.6	66%
38	WRTre Tucker	LV	@NO×1.02	5.5	3.4	45	23%	2	5.5	19.0%	0.54	17.5	65%
39	WRDevaughn Vele	NO	vsLV×1.04	5.5	3.6	45	24%	2	8.0	19.6%	0.45	8.3	94%
40	WRBrian Thomas Jr.	JAX	vsNE×0.94	5.8	3.4	44	27%	2	5.5	21.4%	0.48	11.5	45%
41	WRRomeo Doubs	NE	@JAX×0.98	5.4	3.4	44	26%	2	3.5	14.4%	0.47	21.6	62%
42	WRDeebo Samuel Sr.	SF	vsARI×0.99	5.8	3.8	44	34%	2	5.5	19.8%	0.37	3.3	51%
43	WRDJ Moore	BUF	vsLAC×1.01	5.5	3.5	43	30%	2	4.0	14.3%	0.36	19.8	54%
44	WRZay Flowers	BAL	@DAL×1.01	4.6	3.2	43	24%	1	6.0	25.0%	0.61	15.2	29%
45	WRCarnell Tate	TEN	@NYG×1.01	5.5	3.4	43	20%	2	5.5	25.4%	0.63	10.6	82%
46	WRKeenan Allen	IND	vsHOU×1.04	6.1	3.7	43	21%	2	5.5	18.7%	0.39	4.8	59%
47	WRXavier Worthy	KC	@MIA×1.03	5.5	3.4	43	29%	2	6.5	20.1%	0.47	6.3	82%
48	WRLuther Burden III	CHI	vsPHI×0.99	5.1	3.4	42	17%	2	6.0	21.3%	0.52	10.3	65%
49	WRQuentin Johnston	LAC	@BUF×0.93	5.7	3.3	41	29%	2	5.5	20.7%	0.44	9.4	80%
50	WRKC Concepcion	CLE	vsCAR×1.02	5.1	3.4	41	23%	2	5.5	21.4%	0.46	6.8	68%
51	WRMalik Washington	MIA	vsKC×0.94	6.1	4.0	40	21%	2	6.5	25.7%	0.59	12.5	86%
52	WRCourtland Sutton	DEN	vsLA×0.98	5.2	3.0	39	24%	2	4.5	16.2%	0.43	7.9	75%
53	WRChris Godwin Jr.	TB	vsMIN×1.00	4.8	3.1	37	20%	2	3.5	12.0%	0.21	5.1	86%
54	WRMarvin Harrison Jr.	ARI	@SF×0.99	4.5	2.6	36	19%	2	2.0	6.0%	0.19	18.5	77%
55	WRDontayvion Wicks	PHI	@CHI×1.04	4.3	2.7	36	20%	2	5.0	17.9%	0.47	14.8	77%
56	WRRashid Shaheed	SEA	@WAS×1.06	4.3	2.5	35	20%	2	4.5	17.8%	0.41	9.6	61%
57	WRWan'Dale Robinson	TEN	@NYG×1.01	4.8	3.2	35	17%	2	3.5	13.7%	0.26	4.1	68%
58	WRJordan Addison	MIN	@TB×1.01	4.2	2.4	33	22%	2	3.5	17.5%	0.41	10.0	86%
59	WRDeMario Douglas	NE	@JAX×0.98	4.2	2.8	32	18%	2	4.5	16.1%	0.31	4.9	54%
60	WRMalachi Fields	NYG	vsTEN×1.02	4.0	2.4	32	14%	2	5.0	16.3%	0.48	20.2	77%
61	WRKalif Raymond	CHI	vsPHI×0.99	3.9	2.7	32	13%	2	7.0	25.6%	0.47	5.1	61%
62	WRJalen Nailor	LV	@NO×1.02	3.8	2.3	31	18%	2	4.0	13.8%	0.34	11.4	60%
63	WRJakobi Meyers	JAX	vsNE×0.94	4.2	2.7	31	21%	2	1.5	6.5%	0.16	16.7	78%
64	WRKendrick Bourne	ARI	@SF×0.99	3.7	2.5	30	12%	2	5.5	16.6%	0.33	4.5	64%
65	WRCooper Kupp	SEA	@WAS×1.06	3.7	2.3	30	18%	2	2.5	10.1%	0.28	12.6	61%
66	WRJauan Jennings	MIN	@TB×1.01	3.9	2.3	30	23%	1	1.0	4.3%	0.18	30.0	48%
67	WRRoman Wilson	PIT	vsCIN×1.02	3.7	2.3	29	14%	2	6.0	16.2%	0.39	12.3	67%
68	WRJerry Jeudy	CLE	vsCAR×1.02	3.8	2.1	29	15%	2	2.5	10.8%	0.26	10.0	61%
69	WRKeon Coleman	BUF	vsLAC×1.01	3.6	2.2	29	20%	2	3.5	12.5%	0.26	7.4	62%
70	WRJaylin Noel	HOU	@IND×1.03	3.4	2.1	28	14%	2	3.5	7.7%	0.17	9.3	45%
71	WRMack Hollins	NE	@JAX×0.98	3.5	2.3	28	15%	2	3.5	12.8%	0.31	10.6	71%
72	WRRyan Flournoy	DAL	vsBAL×0.94	3.7	2.4	27	18%	2	5.0	16.3%	0.28	3.1	74%
73	WRIsaiah Williams	NYJ	@DET×1.07	3.4	2.3	27	13%	2	3.5	10.5%	0.17	1.3	71%
74	WRTed Hurst III	TB	vsMIN×1.00	3.3	2.0	26	13%	2	5.0	16.2%	0.45	17.9	75%
75	WRJahan Dotson	ATL	@GB×1.04	3.3	1.9	26	12%	3	3.3	13.9%	0.51	14.4	68%
76	WRXavier Legette	CAR	@CLE×0.98	3.7	2.1	26	17%	2	3.0	9.2%	0.24	16.2	52%
77	WRAntonio Williams	WAS	vsSEA×0.96	3.3	2.2	26	10%	2	3.5	11.3%	0.25	10.1	43%
78	WRTre Harris	LAC	@BUF×0.93	3.5	2.2	26	14%	2	4.5	16.9%	0.39	11.4	78%
79	WRJalen McMillan	TB	vsMIN×1.00	3.1	2.0	25	14%	1	0.0	0.0%	0.00	—	11%
80	WRDarnell Mooney	NYG	vsTEN×1.02	3.0	1.7	24	11%	2	2.5	8.1%	0.19	12.0	65%
81	WRGermie Bernard	PIT	vsCIN×1.02	3.0	1.8	24	11%	2	4.0	10.8%	0.28	8.8	42%
82	WRJordan Whittington	LA	@DEN×0.92	3.1	2.1	23	12%	1	1.0	3.7%	0.08	8.0	41%
83	WRCalvin Ridley	TEN	@NYG×1.01	2.9	1.6	23	11%	2	1.0	5.9%	0.16	13.5	63%
84	WRMakai Lemon	PHI	@CHI×1.04	2.8	1.8	23	12%	2	2.5	10.6%	0.17	2.6	64%
85	WRTyquan Thornton	KC	@MIA×1.03	2.5	1.5	22	14%	2	2.5	6.7%	0.31	24.2	64%
86	WRBryce Lance	NO	vsLV×1.04	2.6	1.7	22	11%	2	2.5	5.4%	0.12	9.6	74%
87	WRJack Bech	LV	@NO×1.02	2.7	1.7	22	11%	2	3.0	10.3%	0.23	8.3	47%
88	WRChris Bell	MIA	vsKC×0.94	2.9	1.8	22	10%	2	1.5	5.9%	0.16	18.0	47%
89	WRJared Wayne	HOU	@IND×1.03	2.7	1.6	22	10%	2	4.0	8.4%	0.21	14.5	41%
90	WRMarvin Mims	DEN	vsLA×0.98	2.7	1.8	21	13%	1	0.0	0.0%	0.00	—	18%
91	WROlamide Zaccheaus	ATL	@GB×1.04	2.9	1.7	20	12%	3	2.0	7.9%	0.14	2.0	36%
92	WRIsaac TeSlaa	DET	vsNYJ×0.98	2.5	1.5	20	14%	2	3.0	7.9%	0.21	14.0	72%
93	WRJosh Palmer	BUF	vsLAC×1.01	2.3	1.4	20	12%	2	2.5	8.9%	0.25	20.2	35%
94	WRElic Ayomanor	TEN	@NYG×1.01	2.6	1.4	20	12%	2	3.0	14.2%	0.37	12.3	53%
95	WRDyami Brown	WAS	vsSEA×0.96	2.4	1.5	18	8%	2	4.0	12.3%	0.30	14.0	54%
96	WRPat Bryant	DEN	vsLA×0.98	2.3	1.4	17	10%	2	3.5	12.8%	0.29	4.3	63%
97	WRDevontez Walker	BAL	@DAL×1.01	1.9	1.2	16	11%	1	2.0	6.9%	0.23	30.0	29%
98	WRChris Moore	BAL	@DAL×1.01	1.9	1.1	16	9%	2	2.5	9.3%	0.33	32.2	46%
99	WRSkyy Moore	GB	vsATL×1.01	1.9	1.2	15	9%	3	3.7	8.9%	0.20	7.1	31%
100	WRTory Horton	SEA	@WAS×1.06	1.7	1.0	14	11%	1	0.0	0.0%	0.00	—	31%
101	WRKevin Coleman	MIA	vsKC×0.94	1.9	1.2	14	7%	2	1.0	3.7%	0.08	12.0	38%
102	WRKonata Mumpfield	LA	@DEN×0.92	2.0	1.2	14	9%	2	1.5	5.2%	0.12	12.0	48%
103	WRMarquise Brown	PHI	@CHI×1.04	1.6	1.0	12	9%	1	0.0	0.0%	0.00	—	22%
104	WRMalik Benson	LV	@NO×1.02	1.5	0.9	12	7%	2	1.5	5.2%	0.16	19.3	12%
105	WRTez Johnson	TB	vsMIN×1.00	1.4	0.9	11	8%	2	2.5	7.9%	0.27	32.2	26%
106	WRTroy Franklin	DEN	vsLA×0.98	1.5	0.9	11	9%	2	1.5	5.3%	0.24	21.3	27%
107	WRColbie Young	CIN	@PIT×1.00	1.4	0.9	11	6%	2	0.5	1.6%	0.04	6.0	16%
108	WRBo Melton	GB	vsATL×1.01	1.3	0.8	11	7%	3	1.0	2.6%	0.07	16.0	20%
109	WRKaVontae Turpin	DAL	vsBAL×0.94	1.4	0.8	10	9%	2	0.5	1.7%	0.03	1.0	12%
110	WRIsaiah Bond	CLE	vsCAR×1.02	1.2	0.7	10	5%	2	0.5	1.7%	0.05	7.0	11%
111	WRLaquon Treadwell	IND	vsHOU×1.04	1.2	0.7	10	4%	2	2.0	6.7%	0.22	14.5	54%
112	WRJosh Cameron	JAX	vsNE×0.94	1.3	0.8	10	7%	2	1.0	4.8%	0.10	9.0	25%
113	WRTutu Atwell	LA	@DEN×0.92	1.3	0.8	10	5%	1	2.0	6.7%	0.22	29.0	18%
114	WRDohnte Meyers	CIN	@PIT×1.00	1.2	0.7	9	6%	2	1.0	3.1%	0.04	-1.0	17%
115	WRZachariah Branch	ATL	@GB×1.04	1.2	0.7	9	5%	3	1.3	5.0%	0.09	1.5	23%
116	WRDarius Cooper	PHI	@CHI×1.04	1.1	0.7	9	5%	2	1.5	4.4%	0.10	8.3	28%
117	WRTravis Hunter	JAX	vsNE×0.94	1.3	0.8	9	7%	2	0.5	2.4%	0.03	-3.0	9%
118	WRTreylon Burks	WAS	vsSEA×0.96	1.3	0.7	9	4%	1	1.0	2.9%	0.15	56.0	30%
119	WRKyle Williams	NE	@JAX×0.98	1.2	0.7	9	6%	2	1.0	4.8%	0.11	11.5	19%
120	WRJohn Metchie	CAR	@CLE×0.98	1.2	0.8	9	6%	1	0.0	0.0%	0.00	—	11%
121	WRXavier Smith	LA	@DEN×0.92	1.1	0.7	8	5%	2	0.5	1.7%	0.03	0.0	34%

Matchup: the engine’s defense-vs-position factor for this player’s projection — green softer, red tougher than league average. Usage heat floor: ≥30% snap share or ≥20 targets / 40 carries / 100 attempts (per-game equivalents for short windows).

Every skill player on this week's slate with his projected targets, carries, yards and touchdown chance, the opponent and how soft or tough that defense is against his position, and his usage over the last four played weeks — target and carry shares, snap share, air yards and red-zone work — with season-to-date one click away. Role views rank pass catchers or ball carriers across positions. Context, not a pick.

What these numbers mean: Monte Carlo projections · implied probability.