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Thanos Index: Week 3

Carolina Panthers spread the ball across 10 players. Explore Week 3's receiving roles by target volume and depth, with each team's chaos score in view.

September 30, 2026Final recap · Week 3

Target Volume · Target Depth · Team Chaos

Week 3 Recap

Carolina Panthers had the most distributed target tree in Week 3: 88.0 chaos points, 42 targets and 10 targeted players. Darren Waller led the team with 19.1% of its targets.

Indianapolis Colts sat at the concentrated end of the board with 74.4 chaos points. Josh Downs accounted for 31.4% of its targets. A concentrated target tree describes who received the work; it does not measure passing efficiency.

New England Patriots had the deepest team target profile at 11.6 yards per target. Michael Wilson (ARI) led the plotted players with 17 targets and a 9.5-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 3. 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 3

265 players · 32 teams. aDOT includes incomplete passes and can be negative. 8 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)
ARI80.2179.5
NYJ78.41410.2
SEA82.31410.8
LV76.2138.2
NO80.81310.3
LA82.01317.5
CIN81.8128.3
GB84.81216.6
DAL81.7117.3
IND74.41115.6
CHI79.8115.1
ARI80.2115.2
LA82.0117.1
TEN79.7115.6
GB84.8109.1
BUF79.01012.7
ATL77.4109.7
MIA81.01011.3
IND74.4102.8
SEA82.391.1
TEN79.7911.3
DAL81.7910.6
TB84.6910.1
CLE77.498.3
MIN76.8916.8
CLE77.494.0
IND74.497.9
NE83.3913.3
KC79.498.3
WAS82.2912.2
DET81.887.1
CAR88.087.0
PHI81.087.0
DET81.880.5
JAX82.388.0
DEN83.0811.6
NO80.881.9
NYJ78.489.8
LA82.0818.0
DAL81.7810.9
GB84.884.5
MIA81.0718.0
DEN83.0711.9
SF81.977.7
MIA81.078.1
CHI79.878.3
LA82.076.3
DEN83.07-1.6
GB84.873.3
WAS82.274.7
CIN81.8713.1
LAC85.878.4
MIN76.86-1.8
CAR88.0618.0
TB84.6610.2
NO80.8615.7
NYG79.460.8
LAC85.8611.3
PIT85.7616.7
CHI79.8614.5
HOU85.4620.2
BAL80.569.2
JAX82.356.4
SF81.956.4
SEA82.357.0
NE83.3520.8
CLE77.4512.8
PIT85.7514.6
CIN81.853.6
PHI81.0511.0
SEA82.35-2.0
NYG79.454.2
DAL81.752.4
ARI80.251.8
NYJ78.453.0
CAR88.057.8
TB84.653.0
LAC85.8515.4
BAL80.558.2
ARI80.2517.0
PIT85.758.0
SF81.9514.8
JAX82.3510.0
CLE77.450.8
CAR88.058.8
LAC85.849.8
WAS82.2413.0
LV76.244.3
LA82.04-0.3
TB84.643.5
NYG79.448.5
TB84.644.0
CAR88.04-3.5
CHI79.841.0
PIT85.744.0
HOU85.443.3
TEN79.747.3
CAR88.0420.0
DET81.8412.0
HOU85.4417.3
PIT85.74-0.5
MIA81.0418.8
PHI81.0411.5
NO80.843.3
PIT85.7412.5
NE83.3412.8
DET81.849.8
MIN76.8411.0
CAR88.046.3
TEN79.740.5
LV76.248.8
BUF79.040.0
ARI80.24-5.5
NYJ78.43-1.7
NYJ78.43-0.7
NO80.8319.3
LV76.234.7
CHI79.83-0.3
BUF79.0312.0
HOU85.439.0
NYG79.4310.3
LA82.037.3
TEN79.737.7
ARI80.232.7
DET81.839.0
GB84.837.3
SEA82.338.7
ATL77.4314.7
LV76.2314.7
DAL81.73-3.0
IND74.43-4.3
GB84.836.3
GB84.83-0.3
LAC85.83-3.7
NO80.83-1.7
ARI80.232.0
BUF79.033.7
LAC85.836.3
NE83.3317.7
GB84.83-4.0
LV76.234.0
CIN81.8310.7
CAR88.035.7
KC79.437.3
MIA81.03-1.3
LAC85.839.3
DEN83.039.5
SEA82.335.0
BAL80.539.0
NE83.330.0
MIA81.030.7
CIN81.832.0
TB84.6323.7
SEA82.3314.7
ATL77.425.0
JAX82.32-3.5
ATL77.42-5.0
DET81.822.0
CIN81.82-0.5
WAS82.22-1.5
TEN79.72-0.5
HOU85.425.5
CAR88.0229.5
CIN81.821.5
NE83.321.5
SEA82.323.0
DEN83.020.5
NE83.327.5
NYJ78.4214.0
DEN83.02-1.5
SF81.9223.5
MIN76.8211.0
HOU85.428.0
SF81.9216.5
JAX82.3210.0
MIN76.829.0
DAL81.727.5
HOU85.427.5
KC79.42-3.5
BUF79.0231.5
SF81.927.0
ATL77.424.0
JAX82.322.0
NYG79.425.5
BAL80.522.5
DEN83.023.0
ATL77.420.0
CLE77.42-3.0
PHI81.02-3.0
NYJ78.422.0
MIN76.824.0
CIN81.824.5
LA82.020.5
TB84.6224.5
NO80.820.0
KC79.4216.5
WAS82.224.5
KC79.4210.0
PHI81.025.0
KC79.426.5
PHI81.022.0
ATL77.426.5
CAR88.01-7.0
NO80.81-1.0
JAX82.31-3.0
WAS82.217.0
PIT85.7123.0
GB84.8130.0
SEA82.3113.0
KC79.41-3.0
DAL81.712.0
JAX82.314.0
TEN79.717.0
TEN79.713.0
GB84.81-1.0
BAL80.514.0
CIN81.811.0
LA82.013.0
CHI79.816.0
NE83.31-3.0
BUF79.013.0
MIA81.0110.0
BAL80.51-5.0
BAL80.5151.0
WAS82.2122.0
PIT85.7114.0
ARI80.215.0
BUF79.0136.0
DET81.815.0
WAS82.215.0
KC79.416.0
ARI80.2112.0
TB84.6115.0
KC79.412.0
BUF79.01-2.0
WAS82.21-2.0
NYJ78.4119.0
WAS82.212.0
PHI81.01-6.0
BUF79.01-8.0
BAL80.513.0
SF81.91-5.0
IND74.4118.0
HOU85.4110.0
SF81.9126.0
DAL81.716.0
LV76.2140.0
LAC85.8122.0
CLE77.412.0
IND74.410.0
JAX82.314.0
NYG79.4117.0
LAC85.81-9.0
TB84.614.0
WAS82.216.0
PIT85.710.0
CHI79.813.0
DET81.815.0
PHI81.010.0
NE83.314.0
DEN83.018.0
DEN83.016.0
DAL81.71-6.0
HOU85.41-4.0
CHI79.81-4.0

The Team Target Trees

Week 3 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
CAR88.09.7 yd4210Darren Waller19.1%
LAC85.88.8 yd339Tre Harris21.2%
PIT85.710.1 yd319Roman Wilson19.4%
HOU85.411.1 yd259Xavier Hutchinson24.0%
GB84.88.0 yd5110Matthew Golden23.5%
TB84.69.6 yd359Emeka Egbuka25.7%
NE83.311.6 yd309Mack Hollins30.0%
DEN83.06.1 yd339Jaylen Waddle24.2%
JAX82.36.2 yd279Jakobi Meyers29.6%
SEA82.36.4 yd459Jaxon Smith-Njigba31.1%
WAS82.28.0 yd3011Terry McLaurin30.0%
LA82.010.6 yd498Davante Adams26.5%
SF81.911.0 yd258George Kittle28.0%
CIN81.87.0 yd379Ja'Marr Chase32.4%
DET81.86.1 yd318Amon-Ra St. Brown25.8%
DAL81.76.8 yd419George Pickens26.8%
MIA81.010.8 yd357Malik Washington28.6%
PHI81.06.4 yd258DeVonta Smith32.0%
NO80.87.7 yd408Chris Olave32.5%
BAL80.59.1 yd208Zay Flowers30.0%
ARI80.26.4 yd509Michael Wilson34.0%
CHI79.86.1 yd348Luther Burden III32.4%
TEN79.76.5 yd358Wan'Dale Robinson31.4%
KC79.47.0 yd239Rashee Rice39.1%
NYG79.45.7 yd216Malik Nabers28.6%
BUF79.010.2 yd269DJ Moore38.5%
NYJ78.47.4 yd388Garrett Wilson36.8%
ATL77.47.0 yd248Drake London41.7%
CLE77.45.4 yd316KC Concepcion29.0%
MIN76.89.3 yd256Jordan Addison36.0%
LV76.28.8 yd317Brock Bowers41.9%
IND74.47.9 yd356Josh Downs31.4%

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