2023 season · Receivers and tight ends, Next Gen Stats qualified, 115 qualifiers

Receiver Separation and Cushion Leaders

Receiver Separation and Cushion — 2023 NFL leaders, updated Aug 13, 2026. Rondale Moore (ARI) led the league in average separation at 4.50, ahead of 114 other qualifying players. Based on verified 2023 play-by-play data (nflverse); Half-PPR scoring. Through the 2023 season.

Separation is how far the nearest defender was when the ball arrived; cushion is how far off he lined up before the snap. The pair reads as one story. A receiver with a large cushion and ordinary separation is being played soft and taking what he is given; a receiver with a small cushion and large separation is beating press coverage, which is the harder thing and the one that survives a change of quarterback. Depth of target sits alongside them because separation is easier to find underneath — a checkdown target and a go route are not the same test.

Receiver Separation and Cushion, 2023 NFL season
#PlayerSepCushionaDOTCatch%Tgt
1Rondale MooreWR · ARI4.507.305.0664.5%62
2Luke MusgraveTE · GB4.325.607.1073.9%46
3Rashee RiceWR · KC4.156.364.9977.5%102
4Cole KmetTE · CHI4.096.736.3781.1%90
5Gerald EverettTE · LAC3.985.943.9672.9%70
6Wan'Dale RobinsonWR · NYG3.976.975.2476.9%78
7Jonnu SmithTE · ATL3.896.656.0871.4%70
8Dalton KincaidTE · BUF3.836.075.8780.2%91
9Jaxon Smith-NjigbaWR · SEA3.797.036.2167.7%93
10Chig OkonkwoTE · TEN3.775.496.8870.1%77
11Deebo Samuel Sr.WR · SF3.706.776.7967.4%89
12Elijah MooreWR · CLE3.697.1511.0156.7%104
13Zay FlowersWR · BAL3.687.678.6571.3%108
14Tyler HigbeeTE · LAR3.686.265.5367.1%70
15Travis KelceTE · KC3.666.686.7676.9%121
16Jerry JeudyWR · DEN3.637.2212.6562.1%87
17Nelson AgholorWR · BAL3.586.409.3977.8%45
18Khalil ShakirWR · BUF3.515.698.3086.7%45
19Kylen GransonTE · IND3.506.398.0160.0%50
20David NjokuTE · CLE3.485.084.9365.9%123
21Trey McBrideTE · ARI3.465.115.9576.4%106
22Tyler ConklinTE · NYJ3.455.976.7270.1%87
23Jayden ReedWR · GB3.446.589.9768.1%94
24Cade OttonTE · TB3.446.506.5370.1%67
25Jaylen WaddleWR · MIA3.426.7110.0069.2%104
26Evan EngramTE · JAX3.396.224.7379.7%143
27Sam LaPortaTE · DET3.395.847.0671.7%120
28Cooper KuppWR · LAR3.357.098.1462.1%95
29Jake FergusonTE · DAL3.345.475.6669.6%102
30Dalton SchultzTE · HOU3.315.777.9967.0%88
31George KittleTE · SF3.305.399.6372.2%90
32Curtis SamuelWR · WAS3.296.847.1468.1%91
33Logan ThomasTE · WAS3.286.426.3070.5%78
34K.J. OsbornWR · MIN3.275.889.0064.0%75
35Tyreek HillWR · MIA3.265.7610.8469.6%171
36Josh DownsWR · IND3.256.096.9469.4%98
37Amon-Ra St. BrownWR · DET3.216.707.6672.6%164
38Mark AndrewsTE · BAL3.215.557.8673.8%61
39Ja'Marr ChaseWR · CIN3.205.948.6069.0%145
40Dontayvion WicksWR · GB3.177.1710.2767.2%58
41Christian KirkWR · JAX3.136.079.9467.1%85
42Noah BrownWR · HOU3.126.7212.2760.0%55
43Tyler BoydWR · CIN3.096.146.7468.4%98
44Mike GesickiTE · NE3.095.818.6964.4%45
45T.J. HockensonTE · MIN3.085.987.2474.8%127
46Darnell MooneyWR · CHI3.085.9110.6050.8%61
47Keenan AllenWR · LAC3.076.789.4672.0%150
48DeMario DouglasWR · NE3.076.788.1162.0%79
49Trey PalmerWR · TB3.076.4210.1657.4%68
50Tanner HudsonTE · CIN3.076.305.1178.0%50
51Nico CollinsWR · HOU3.025.8111.1873.4%109
52Chris OlaveWR · NO2.966.2913.2663.0%138
53Tank DellWR · HOU2.956.9014.2362.7%75
54Pat FreiermuthTE · PIT2.957.046.7568.1%47
55Michael PittmanWR · IND2.946.787.9269.9%156
56Darren WallerTE · NYG2.946.267.6570.3%74
57Chris Godwin Jr.WR · TB2.926.949.3563.8%130
58Courtland SuttonWR · DEN2.926.3712.7165.6%90
59Dallas GoedertTE · PHI2.916.665.5071.1%83
60Christian WatsonWR · GB2.916.4016.2752.8%53
61Brandon AiyukWR · SF2.905.7514.0971.4%105
62Diontae JohnsonWR · PIT2.906.9612.4858.6%87
63Nick Westbrook-IkhineWR · TEN2.906.7512.3262.2%45
64Puka NacuaWR · LAR2.896.008.9865.6%160
65Adam ThielenWR · CAR2.896.317.6475.2%137
66Darius SlaytonWR · NYG2.876.5412.3863.3%79
67Tyler LockettWR · SEA2.826.7511.5064.8%122
68DeVonta SmithWR · PHI2.826.7312.4672.3%112
69Rashid ShaheedWR · NO2.826.6014.5261.3%75
70Stefon DiggsWR · BUF2.815.9610.1066.9%160
71Gabe DavisWR · BUF2.816.5015.0655.6%81
72Juwan JohnsonTE · NO2.804.957.8362.7%59
73Jonathan MingoWR · CAR2.776.1710.2850.6%85
74Jordan AddisonWR · MIN2.766.4312.4164.8%108
75Kendrick BourneWR · NE2.757.1410.0967.3%55
76DJ MooreWR · CHI2.746.2811.4970.6%136
77Jakobi MeyersWR · LV2.737.329.5967.0%106
78Romeo DoubsWR · GB2.725.9012.1661.5%96
79CeeDee LambWR · DAL2.715.559.6774.6%181
80Justin JeffersonWR · MIN2.716.5712.5268.0%100
81Odell Beckham Jr.WR · BAL2.685.3114.2454.7%64
82Michael WilsonWR · ARI2.656.3012.6264.9%57
83Terry McLaurinWR · WAS2.645.7511.4459.8%132
84Brandin CooksWR · DAL2.636.2313.3666.7%81
85Robert WoodsWR · HOU2.627.079.9953.3%75
86Tutu AtwellWR · LAR2.616.6211.2258.2%67
87Josh PalmerWR · LAC2.616.7811.4062.3%61
88Jahan DotsonWR · WAS2.597.139.8459.0%83
89Allen RobinsonWR · PIT2.576.697.6168.8%48
90Davante AdamsWR · LV2.555.2510.4358.9%175
91Marquise BrownWR · ARI2.516.0611.8650.5%101
92Josh ReynoldsWR · DET2.505.7611.1562.5%64
93Rashod BatemanWR · BAL2.505.5414.2457.1%56
94Zay JonesWR · JAX2.486.6913.4353.1%64
95Justin WatsonWR · KC2.486.0117.5450.0%52
96Garrett WilsonWR · NYJ2.465.5510.2156.5%168
97DK MetcalfWR · SEA2.455.8013.7555.5%119
98A.J. BrownWR · PHI2.446.5812.1667.1%158
99JuJu Smith-SchusterWR · NE2.427.017.2061.7%47
100Quentin JohnstonWR · LAC2.386.0813.0856.7%67
101Mike EvansWR · TB2.376.5714.3858.1%136
102Kyle PittsTE · ATL2.376.2811.4558.9%90
103Hunter HenryTE · NE2.356.028.8468.9%61
104Tee HigginsWR · CIN2.335.9413.0955.3%76
105Michael GallupWR · DAL2.316.1310.8659.6%57
106Calvin RidleyWR · JAX2.295.5813.7555.9%136
107DJ CharkWR · CAR2.295.7515.0953.0%66
108DeAndre HopkinsWR · TEN2.275.7914.1954.7%137
109George PickensWR · PIT2.275.0613.1959.4%106
110Drake LondonWR · ATL2.226.3311.3762.7%110
111Allen LazardWR · NYJ2.216.3012.0346.9%49
112Amari CooperWR · CLE2.175.4014.0356.2%128
113Alec PierceWR · IND2.156.2415.0149.2%65
114Michael ThomasWR · NO2.005.1110.1760.9%64
115DeVante ParkerWR · NE1.995.8410.9760.0%55

Next Gen Stats publishes tracking figures for wide receivers and tight ends only, so no running back appears here however many passes he caught. Targets and receptions are the tracking feed's own counts and can differ by one or two from the play-by-play totals on the other receiving boards.

New to this stat? What average separation means.

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