NFL snap counts, Week 5

Every club's Week 5 snap counts with snap share, target share and air yards share at every position. Computed from the play-by-play and the official snap counts, not copied from anyone's chart.

AJ Barner played 95% of the Seahawks' offensive snaps, the highest share of any tight end.
Puka Nacua drew 44% of the Rams' targets, the highest share in Week 5.
Mike Evans accounted for 70% of the 49ers' air yards, the highest share among pass catchers.
Javonte Williams handled 92% of the Cowboys' carries, the highest share of any running back.
Kendre Miller had 4 red zone targets and carries, 100% of the Saints' red zone plays, the top share with three or more.

WR usage, Week 5
Player
1Rome OdunzeCHI vs GB	99%	23%	30%	11.2	0.55	0.13	18%	40%	9	40
2Drake LondonATL vs BAL	98%	32%	50%	10.8	0.83	0.17	0%	43%	11	118
3Devaughn VeleNO vs MIN	96%	25%	26%	6.5	0.56	0.14	0%	43%	6	26
4Garrett WilsonNYJ vs CLE	93%	38%	55%	8.4	0.96	0.17	33%	40%	11	104
5Tim PatrickNYJ vs CLE	93%	10%	18%	10.0	0.28	0.05	0%	0%	3	26
6Germie BernardPIT vs IND	92%	30%	38%	6.0	0.72	0.16	25%	38%	9	80
7DK MetcalfPIT vs IND	92%	13%	11%	3.8	0.27	0.07	0%	25%	4	12
8Denzel BostonCLE vs NYJ	91%	22%	32%	13.4	0.55	0.11	33%	46%	7	46
9Chris OlaveNO vs MIN	91%	25%	54%	13.5	0.75	0.15	0%	14%	6	46
10Malik NabersNYG vs WAS	90%	39%	48%	12.3	0.92	0.25	38%	20%	20	121
11Jameson WilliamsDET vs ARI	89%	14%	42%	29.5	0.50	0.07	6%	11%	4	47
12Ja'Marr ChaseCIN vs MIA	89%	32%	54%	12.4	0.86	0.17	17%	33%	10	77
13Emeka EgbukaTB vs DAL	89%	36%	65%	7.9	1.00	0.14	21%	75%	9	38
14Justin JeffersonMIN vs NO	89%	24%	44%	10.6	0.67	0.11	8%	33%	7	79
15George PickensDAL vs TB	88%	31%	36%	9.8	0.71	0.24	40%	63%	13	130
16Chris GodwinTB vs DAL	88%	12%	5%	1.7	0.21	0.05	7%	0%	3	37
17Amon-Ra St. BrownDET vs ARI	86%	38%	33%	8.4	0.80	0.19	25%	44%	11	69
18Darius CooperPHI vs JAX	86%	8%	15%	13.3	0.23	0.06	0%	8%	3	71
19Puka NacuaLAR vs BUF	85%	44%	53%	7.7	1.04	0.34	25%	42%	24	138
20Jakobi MeyersJAX vs PHI	85%	8%	13%	10.3	0.21	0.05	8%	0%	3	37
21Josh DownsIND vs PIT	85%	14%	19%	16.2	0.34	0.10	0%	9%	6	47
22Jaxon Smith-NjigbaSEA vs SF	84%	30%	54%	12.4	0.82	0.15	17%	30%	8	102
23Dontayvion WicksPHI vs JAX	84%	22%	40%	13.8	0.61	0.15	0%	42%	8	63
24Michael WilsonARI vs DET	84%	15%	21%	14.4	0.38	0.12	0%	27%	7	30
25Romeo DoubsNE vs LV	83%	10%	19%	19.7	0.28	0.05	7%	13%	3	16
26Parker WashingtonJAX vs PHI	82%	24%	33%	8.8	0.59	0.15	17%	31%	9	124
27Zay FlowersBAL vs ATL	82%	29%	29%	4.8	0.64	0.14	9%	25%	9	53
28Cooper KuppSEA vs SF	81%	11%	13%	7.7	0.25	0.06	17%	10%	3	15
29Jerry JeudyCLE vs NYJ	81%	22%	21%	8.9	0.47	0.13	0%	9%	7	19
30Makai LemonPHI vs JAX	81%	19%	9%	3.3	0.34	0.14	0%	17%	7	43
31Courtland SuttonDEN vs LAC	81%	14%	21%	8.0	0.35	0.06	10%	14%	3	18
32Malik WashingtonMIA vs CIN	80%	31%	35%	14.0	0.71	0.15	6%	14%	8	43
33Christian WatsonGB vs CHI	80%	26%	56%	22.4	0.78	0.16	0%	11%	8	143
34Rashod BatemanBAL vs ATL	80%	19%	42%	10.3	0.58	0.10	0%	13%	6	62
35Laquon TreadwellIND vs PIT	80%	19%	25%	15.6	0.45	0.14	10%	18%	8	34
36Matthew GoldenGB vs CHI	77%	23%	34%	15.6	0.58	0.15	38%	33%	7	123
37Luther BurdenCHI vs GB	77%	15%	24%	13.0	0.39	0.11	27%	0%	6	47
38Carnell TateTEN vs HOU	76%	14%	39%	22.6	0.48	0.10	0%	11%	5	6
39Efton ChismNE vs LV	76%	19%	20%	10.7	0.43	0.10	0%	25%	6	57
40Tre TuckerLV vs NE	75%	14%	25%	11.0	0.38	0.11	13%	9%	5	41
41Wan'Dale RobinsonTEN vs HOU	75%	20%	17%	7.3	0.42	0.15	0%	11%	7	53
42Marquez Valdes-ScantlingLAC vs DEN	75%	14%	20%	10.3	0.35	0.06	0%	0%	3	22
43Davante AdamsLAR vs BUF	73%	13%	20%	9.9	0.33	0.12	19%	17%	7	51
44Treylon BurksWAS vs NYG	73%	22%	30%	12.2	0.54	0.11	20%	20%	5	26
45Isaiah BondCLE vs NYJ	72%	22%	38%	15.9	0.59	0.14	0%	18%	7	74
46Nico CollinsHOU vs TEN	71%	21%	32%	11.7	0.54	0.15	0%	14%	7	56
47Chris BellMIA vs CIN	71%	8%	14%	21.5	0.21	0.04	0%	0%	2	0
48Keon ColemanBUF vs LAR	70%	11%	35%	25.0	0.41	0.04	9%	25%	2	7
49Tee HigginsCIN vs MIA	69%	13%	23%	13.0	0.35	0.09	0%	22%	4	22
50Khalil ShakirBUF vs LAR	69%	17%	12%	5.7	0.33	0.07	0%	0%	3	80
51Ryan FlournoyDAL vs TB	68%	10%	14%	12.5	0.24	0.10	0%	13%	4	90
52Kalif RaymondCHI vs GB	68%	10%	14%	11.8	0.25	0.09	9%	10%	4	6
53Antonio WilliamsWAS vs NYG	68%	13%	10%	6.3	0.26	0.07	0%	20%	3	31
54Tai FeltonMIN vs NO	66%	10%	18%	10.0	0.28	0.06	8%	0%	3	27
55Jahan DotsonATL vs BAL	66%	12%	30%	18.3	0.39	0.10	22%	21%	4	54
56Darnell MooneyNYG vs WAS	65%	14%	23%	16.4	0.36	0.12	0%	40%	7	14
57Jaylen WaddleDEN vs LAC	65%	23%	20%	4.6	0.48	0.13	10%	0%	5	19
58Kevin ColemanMIA vs CIN	64%	27%	30%	13.4	0.61	0.17	6%	29%	7	30
59Mike EvansSF vs SEA	63%	37%	70%	15.7	1.04	0.26	29%	57%	10	113
60Cody WhiteLV vs NE	62%	11%	24%	13.0	0.33	0.11	0%	9%	4	44
61Kayshon BoutteHOU vs TEN	59%	15%	27%	13.8	0.41	0.13	0%	14%	5	38
62Terry McLaurinWAS vs NYG	58%	17%	19%	9.5	0.39	0.11	20%	0%	4	62
63Kendrick BourneARI vs DET	49%	17%	15%	9.0	0.37	0.22	17%	20%	8	70
64Keenan AllenIND vs PIT	45%	21%	13%	7.1	0.40	0.28	10%	18%	9	45

How these are counted

Target share is a player's targets over his club's targets. Air yards share counts every pass attempt's air yards, caught or not. WOPR is 1.5 times target share plus 0.7 times air yards share. Red zone plays start at the opponent's 20, goal line plays at the 5. Snap share is offensive snaps over the club's offensive snaps.

Route participation, targets per route run and yards per route run are not here. They need who was on the field for every dropback, and the public feed publishes that only after the season. We print targets per snap instead of guessing routes.

Play-by-play from nflverse (nflfastR), CC BY 4.0. Snap counts from Sleeper.

By the Parlae deskSnap counts updated Oct 14, 2026 at 6:53 PM ETHow this is built Report a wrong number

checked 10 hours ago

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How these are counted