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Thanos Index: Week 6

Houston Texans spread the ball across 10 players. Explore Week 6's receiving roles by target volume and depth, with each team's chaos score in view.

October 20, 2026Final recap · Week 6

Target Volume · Target Depth · Team Chaos

Week 6 Recap

Houston Texans had the most distributed target tree in Week 6: 87.7 chaos points, 32 targets and 10 targeted players. Dalton Schultz led the team with 18.8% of its targets.

New York Giants sat at the concentrated end of the board with 76.0 chaos points. Malik Nabers accounted for 35.6% of its targets. A concentrated target tree describes who received the work; it does not measure passing efficiency.

Carolina Panthers had the deepest team target profile at 10.1 yards per target. CeeDee Lamb (DAL) led the plotted players with 19 targets and a 8.5-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 6. 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 6

224 players · 28 teams. aDOT includes incomplete passes and can be negative. 7 targets without recorded air yards are excluded from the depth averages. 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)
DAL79.5198.5
TB77.3168.5
SEA78.21611.4
NYG76.0169.7
PIT77.0157.9
PHI81.91412.8
CAR77.51311.4
GB78.11315.6
PIT77.0121.8
NYG76.01211.6
ATL81.31114.3
DAL79.51110.5
IND81.4119.5
JAX81.51113.9
BAL79.7119.6
NE77.6109.9
SF76.3101.7
SEA78.2107.7
JAX81.51011.7
LV82.3912.8
LAC85.097.7
LV82.393.9
SEA78.2916.1
DAL79.595.8
CAR77.5911.4
ARI81.093.1
TB77.386.8
GB78.1818.1
PHI81.986.8
BUF82.781.9
NE77.688.9
SF76.389.4
IND81.489.4
ARI81.083.9
CHI83.685.8
NYG76.087.5
GB78.184.0
JAX81.578.0
TEN76.9712.4
WAS85.175.0
NO85.377.6
CHI83.674.7
DEN81.977.0
ATL81.375.6
ARI81.0712.3
NYJ82.8712.7
LA83.878.6
WAS85.175.6
LV82.3715.4
TEN76.975.3
KC85.174.3
LV82.363.2
LAC85.063.0
LA83.863.8
HOU87.764.0
PIT77.064.2
NO85.3614.7
NYJ82.869.3
CLE83.269.2
BUF82.7614.7
BUF82.764.5
LA83.860.5
PHI81.965.3
NYJ82.8610.2
GB78.161.2
TB77.3613.0
WAS85.1612.5
IND81.4614.5
DAL79.556.2
CHI83.650.2
PHI81.950.4
CLE83.2517.4
NE77.652.6
BAL79.7511.2
ATL81.3517.4
BAL79.758.2
IND81.4513.8
SF76.3519.8
HOU87.7514.6
LAC85.054.4
WAS85.151.4
SEA78.255.6
KC85.157.2
SEA78.244.3
NO85.343.3
WAS85.1416.5
JAX81.54-3.3
NO85.346.3
LA83.8413.5
PHI81.9415.3
CLE83.240.3
LV82.3413.3
KC85.144.8
PIT77.041.0
HOU87.7415.3
CLE83.2413.5
CAR77.549.3
IND81.44-0.3
LAC85.04-0.3
HOU87.7412.3
DEN81.949.8
ATL81.3411.0
LAC85.04-1.0
PIT77.04-2.8
DEN81.94-5.0
GB78.142.0
CAR77.549.3
JAX81.545.5
LA83.844.3
TB77.33-3.0
NYG76.0323.7
DEN81.9310.0
NE77.636.7
ARI81.030.7
KC85.13-2.3
CLE83.233.3
DAL79.531.7
DEN81.93-3.3
DAL79.537.7
ARI81.0311.3
BUF82.73-2.7
BAL79.73-4.0
HOU87.737.0
KC85.13-3.3
NYJ82.8311.3
LA83.830.3
BAL79.736.3
KC85.135.7
PIT77.035.0
LAC85.0323.3
CHI83.6311.3
TB77.332.0
LAC85.036.7
NYJ82.835.3
DAL79.531.3
NYG76.031.7
HOU87.732.3
HOU87.734.7
ATL81.334.5
CHI83.631.0
KC85.127.0
WAS85.12-5.0
ARI81.023.0
ATL81.32-5.5
LA83.82-1.5
NYJ82.821.5
SF76.326.5
ATL81.324.5
JAX81.5217.0
TB77.32-2.0
TEN76.924.5
PHI81.92-1.0
CAR77.52-3.5
LV82.326.5
CHI83.62-2.0
KC85.1210.0
TEN76.921.5
PHI81.9210.5
NYG76.0213.0
CAR77.5221.5
IND81.4216.5
BAL79.7228.0
TEN76.924.5
PHI81.926.0
DEN81.924.0
HOU87.723.5
DAL79.52-5.0
BUF82.7223.5
NO85.325.0
CHI83.62-1.5
NO85.32-4.0
SF76.3216.0
JAX81.522.5
NO85.321.5
CHI83.623.0
BUF82.721.0
ARI81.02-1.5
ATL81.315.0
NO85.314.0
TB77.3121.0
CLE83.217.0
HOU87.71-4.0
JAX81.512.0
NO85.31-5.0
CAR77.51-1.0
BUF82.71-5.0
BAL79.71-3.0
NYG76.01-6.0
WAS85.114.0
LV82.31-1.0
NE77.615.0
SEA78.21-4.0
SEA78.21-3.0
NYJ82.81-5.0
TB77.31-6.0
HOU87.716.0
NYJ82.81-1.0
WAS85.111.0
PHI81.914.0
SF76.3116.0
SF76.31-1.0
LAC85.01-6.0
TB77.31-6.0
NE77.6112.0
LAC85.0110.0
WAS85.1127.0
GB78.11-6.0
CLE83.21-2.0
LV82.311.0
CAR77.511.0
IND81.411.0
NO85.311.0
IND81.41-1.0
BAL79.7110.0
BUF82.712.0
NE77.6142.0
BUF82.7116.0
WAS85.1123.0
TEN76.91-7.0
NE77.613.0
DEN81.911.0
TEN76.91-4.0
CLE83.21-1.0
SEA78.21-6.0

The Team Target Trees

Week 6 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
HOU87.78.1 yd3210Dalton Schultz18.8%
NO85.36.1 yd3010Chris Olave23.3%
KC85.14.1 yd298Xavier Worthy24.1%
WAS85.17.6 yd3510Stefon Diggs20.0%
LAC85.05.5 yd369KeAndre Lambert-Smith25.0%
LA83.84.8 yd327Puka Nacua21.9%
CHI83.63.6 yd328Luther Burden III25.0%
CLE83.28.4 yd258KC Concepcion24.0%
NYJ82.88.7 yd298Omar Cooper Jr.24.1%
BUF82.76.1 yd309Dalton Kincaid26.7%
LV82.38.8 yd398Brock Bowers23.1%
DEN81.94.0 yd247Jaylen Waddle29.2%
PHI81.98.3 yd449DeVonta Smith31.8%
JAX81.59.2 yd418Parker Washington26.8%
IND81.49.7 yd388Keenan Allen28.9%
ATL81.39.8 yd358Drake London31.4%
ARI81.05.4 yd347Trey McBride26.5%
BAL79.78.8 yd318Zay Flowers35.5%
DAL79.56.9 yd558CeeDee Lamb34.5%
SEA78.29.2 yd478Jaxon Smith-Njigba34.0%
GB78.19.7 yd406Matthew Golden32.5%
NE77.68.8 yd308A.J. Brown33.3%
CAR77.510.1 yd368Jalen Coker36.1%
TB77.36.6 yd419Emeka Egbuka39.0%
PIT77.03.9 yd446DK Metcalf34.1%
TEN76.96.1 yd227Carnell Tate31.8%
SF76.38.7 yd297Christian McCaffrey34.5%
NYG76.010.0 yd457Malik Nabers35.6%

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 October 20, 2026. Source: nflverse play-by-play.

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