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Thanos Index: Week 1

Cincinnati Bengals spread the ball across 9 players. Explore Week 1's receiving roles by target volume and depth, with each team's chaos score in view.

September 30, 2026Final recap · Week 1

Target Volume · Target Depth · Team Chaos

Week 1 Recap

Cincinnati Bengals had the most distributed target tree in Week 1: 85.6 chaos points, 34 targets and 9 targeted players. Mike Gesicki led the team with 20.6% of its targets.

Atlanta Falcons sat at the concentrated end of the board with 64.8 chaos points. Bijan Robinson accounted for 52.6% of its targets. A concentrated target tree describes who received the work; it does not measure passing efficiency.

Buffalo Bills had the deepest team target profile at 13.1 yards per target. Amon-Ra St. Brown (DET) led the plotted players with 14 targets and a 5.0-yard aDOT. Volume and depth describe different parts of a receiving role.

The Weekly Target Map

Every plotted player had at least one target with recorded depth in Week 1. Dots use the team's primary color with its secondary color around the edge.

Explore by Team

Hover, tap or focus a dot to explore a player's receiving role.

Average Depth of Target (Yards)

Targets · Week 1

252 players · 32 teams. aDOT includes incomplete passes and can be negative. 4 targets without recorded air yards are excluded from the depth averages. 1 player with unavailable depth is not plotted. Some dots overlap; filter by team or use the player data below to inspect every player. Swipe across the plot to see the full target scale.
All Player Data
PlayerTeamTeam ChaosTargetsaDOT (yd)
DET75.7145.0
NO83.21318.0
ARI77.3136.8
GB80.91211.4
SEA73.6116.9
ATL64.810-3.0
PIT82.81020.4
MIN74.3108.9
HOU83.61012.0
NO83.297.0
CAR83.0913.8
DET75.7914.1
CHI80.297.2
NYG78.2911.4
LA80.9912.8
WAS83.699.2
NO83.29-0.2
DAL83.1811.3
SF82.58-0.4
GB80.9815.9
HOU83.683.3
BUF79.8819.8
NYG78.288.0
ARI77.385.0
MIA79.3816.9
NO83.286.0
DET75.780.9
CAR83.0814.9
TB81.27-3.6
MIA79.3713.9
SF82.572.4
NE84.576.3
NYJ83.9711.0
GB80.977.1
NO83.2711.0
LAC79.3713.9
LV82.574.0
ARI77.3711.9
SF82.577.9
CIN85.679.0
IND84.2617.2
LV82.563.0
TEN83.7611.2
CIN85.66-2.0
BUF79.8616.3
LA80.9612.2
PHI79.8613.2
TB81.2614.0
DAL83.1617.3
PIT82.86-1.0
IND84.263.7
KC82.66-0.3
BUF79.866.5
BAL83.767.3
JAX84.8617.0
DEN83.464.2
LAC79.366.5
NE84.56-1.0
PIT82.8621.0
CIN85.6619.5
LAC79.367.8
GB80.9613.7
TEN83.763.8
HOU83.669.5
KC82.667.0
BAL83.7615.2
NO83.2510.0
TB81.256.4
DEN83.458.0
PHI79.8510.4
LAC79.355.6
MIA79.350.8
DEN83.453.6
SF82.557.6
TEN83.753.4
DET75.75-0.8
LV82.5512.8
DAL83.15-2.2
CLE83.5512.6
CHI80.257.2
NE84.5512.4
PIT82.854.2
PIT82.850.8
MIN74.353.4
CAR83.054.6
KC82.655.8
IND84.254.6
NE84.544.8
WAS83.6413.8
TB81.240.8
CLE83.5428.5
NYG78.24-4.0
PHI79.8419.8
ATL64.845.5
CIN85.648.5
LV82.548.0
BUF79.84-1.0
ARI77.341.3
CLE83.5410.0
WAS83.642.0
IND84.240.0
IND84.249.0
MIN74.343.3
PHI79.840.0
NYG78.2417.8
DEN83.44-5.5
DAL83.145.8
WAS83.645.5
LV82.5412.5
TEN83.74-3.0
DEN83.43-0.3
NYJ83.9319.7
CIN85.635.0
JAX84.8311.3
JAX84.8314.7
WAS83.6313.0
CAR83.030.0
CHI80.2315.7
SEA73.6316.3
HOU83.631.7
SF82.5315.0
CIN85.630.0
TEN83.7313.7
CLE83.533.3
NE84.534.0
BAL83.7310.0
ATL64.8317.3
DEN83.434.3
GB80.938.0
NYJ83.930.0
LA80.932.3
ARI77.3323.7
NYJ83.930.3
PIT82.8311.0
CLE83.53-2.0
SEA73.636.3
CHI80.2330.0
NE84.5325.0
CIN85.631.0
TB81.2311.3
SEA73.62-0.5
SEA73.623.0
NYJ83.921.5
DAL83.123.0
MIA79.3221.0
BAL83.7234.0
NO83.222.5
LA80.924.5
CHI80.2215.0
NYG78.2212.5
PIT82.823.0
CAR83.024.0
WAS83.6232.0
KC82.62-4.0
HOU83.623.5
MIA79.320.5
SEA73.62-0.5
DAL83.123.0
JAX84.8214.5
HOU83.6213.0
CAR83.0215.0
MIN74.3213.5
JAX84.829.0
BUF79.8231.0
HOU83.6216.0
MIA79.3212.0
CHI80.224.5
BAL83.725.5
NE84.52-1.5
SF82.521.5
LV82.5215.5
CAR83.024.5
LAC79.323.5
CLE83.520.5
WAS83.62-5.0
KC82.623.0
PHI79.82-0.5
TEN83.7212.0
ARI77.32-2.5
LA80.924.5
CAR83.0210.0
MIN74.314.0
JAX84.81-3.0
IND84.213.0
NYJ83.914.0
IND84.210.0
JAX84.81-5.0
CLE83.516.0
GB80.9110.0
NYJ83.910.0
DET75.712.0
HOU83.61-2.0
TEN83.713.0
GB80.91-6.0
LV82.513.0
KC82.615.0
CHI80.214.0
TEN83.711.0
LA80.91-1.0
BUF79.812.0
MIN74.311.0
LAC79.3155.0
BAL83.71-1.0
CIN85.612.0
BAL83.714.0
NE84.512.0
SEA73.616.0
DET75.713.0
NYJ83.917.0
WAS83.61-7.0
CHI80.211.0
SF82.51-1.0
KC82.614.0
HOU83.6112.0
MIN74.3130.0
WAS83.614.0
NYJ83.911.0
CAR83.013.0
DAL83.1111.0
LA80.918.0
BAL83.71-1.0
SF82.51-5.0
DAL83.111.0
TB81.21-5.0
LA80.9113.0
ATL64.8126.0
IND84.214.0
DAL83.1112.0
HOU83.6114.0
GB80.9118.0
BAL83.711.0
JAX84.812.0
KC82.615.0
ATL64.815.0
NYJ83.914.0
NYG78.21-4.0
JAX84.812.0
BAL83.7123.0
LA80.912.0
IND84.21-2.0
DET75.712.0
GB80.9112.0
CIN85.614.0
LA80.9124.0
TB81.219.0
NYG78.212.0
JAX84.81-3.0
DEN83.4131.0
KC82.6136.0
MIA79.316.0
PHI79.816.0
HOU83.61-2.0

The Team Target Trees

Week 1 only. Higher chaos means targets were more evenly spread. Team aDOT averages target depth across the team's recorded targets, weighted by the number of targets.

TeamChaosTeam aDOTTargetsPlayersTarget Leader
CIN85.66.6 yd349Mike Gesicki20.6%
JAX84.810.5 yd2110Parker Washington28.6%
NE84.56.6 yd318DeMario Douglas22.6%
IND84.26.5 yd299Alec Pierce20.7%
NYJ83.96.8 yd2310Garrett Wilson30.4%
BAL83.711.3 yd2410Mark Andrews25.0%
TEN83.75.9 yd288Wan'Dale Robinson21.4%
HOU83.68.0 yd3711Nico Collins27.0%
WAS83.68.8 yd309Stefon Diggs30.0%
CLE83.510.4 yd227KC Concepcion22.7%
DEN83.43.9 yd277Pat Bryant22.2%
NO83.28.9 yd537Chris Olave24.5%
DAL83.18.1 yd309CeeDee Lamb26.7%
CAR83.09.9 yd349Jalen Coker26.5%
PIT82.810.5 yd377DK Metcalf27.0%
KC82.64.7 yd259Kenneth Walker III24.0%
SF82.54.4 yd348Christian McCaffrey23.5%
LV82.57.8 yd297Michael Mayer24.1%
TB81.24.9 yd277Bucky Irving25.9%
LA80.99.6 yd2710Puka Nacua33.3%
GB80.911.3 yd409Matthew Golden30.0%
CHI80.210.8 yd268Kalif Raymond34.6%
BUF79.813.1 yd287DJ Moore28.6%
PHI79.89.8 yd226DeVonta Smith27.3%
LAC79.310.1 yd276Ladd McConkey25.9%
MIA79.311.4 yd277Malik Washington29.6%
NYG78.28.4 yd297Malik Nabers31.0%
ARI77.37.6 yd376Trey McBride35.1%
DET75.75.3 yd397Amon-Ra St. Brown35.9%
MIN74.37.5 yd247Justin Jefferson41.7%
SEA73.66.4 yd247Jaxon Smith-Njigba45.8%
ATL64.83.9 yd195Bijan Robinson52.6%

Reading the Receiving Roles

Farther right means more targets. Higher up means deeper targets. A receiver can have heavy volume on short throws, or a deep role with only a few chances. One deep target can produce a large aDOT, so read depth alongside volume.

Chaos belongs to the whole team's target tree. Players on the same team share that score; it does not rate an individual player's performance or guarantee next week's workload.

How this ranking works

How to read Thanos Index

  • A higher score means the team spreads its targets across more players instead of relying on one or two receivers.
  • Target chaos = 100 × (1 − sum of squared player target shares). The score is not normalized by receiver count; teams need at least five counted targets.
  • aDOT is average depth of target in yards, including incomplete passes and targets behind the line of scrimmage. Targets with missing air yards are excluded from the depth average, not treated as zero.
  • Team aDOT is weighted by targets with recorded depth, rather than averaging player averages. The weekly article plots that week's player targets and aDOT; the season table combines targets through the selected week.

Data as of September 30, 2026. Source: nflverse play-by-play.

View Thanos Index rankings