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Thanos Index: Week 2

Atlanta Falcons spread the ball across 10 players. Explore Week 2's receiving roles by target volume and depth, with each team's chaos score in view.

September 30, 2026Final recap · Week 2

Target Volume · Target Depth · Team Chaos

Week 2 Recap

Atlanta Falcons had the most distributed target tree in Week 2: 88.7 chaos points, 31 targets and 10 targeted players. Drake London led the team with 16.1% of its targets.

Jacksonville Jaguars sat at the concentrated end of the board with 71.9 chaos points. Parker Washington accounted for 42.9% of its targets. A concentrated target tree describes who received the work; it does not measure passing efficiency.

Tampa Bay Buccaneers had the deepest team target profile at 12.5 yards per target. Dalton Schultz (HOU) led the plotted players with 14 targets and a 7.4-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 2. 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 2

255 players · 32 teams. aDOT includes incomplete passes and can be negative. 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)
HOU83.2147.4
DET77.61311.4
PHI79.21314.5
NYJ79.31214.8
JAX71.91214.8
GB78.0117.8
SEA74.91111.0
KC82.1115.1
NO79.71010.4
LA77.81019.8
NYG81.1104.8
DEN82.01015.3
KC82.1101.3
CIN77.2109.3
CAR78.91013.2
ARI74.6103.6
DAL77.8915.1
PIT83.196.9
CIN77.299.0
CAR78.995.3
IND79.898.1
BAL80.9913.9
LA77.896.0
WAS82.5917.1
HOU83.2912.4
JAX71.9810.3
BUF79.8810.5
DAL77.8810.4
PIT83.188.8
DET77.684.3
LV83.970.3
CLE82.978.6
NO79.779.9
NYJ79.3710.7
HOU83.2714.9
CHI84.7712.4
BAL80.976.7
ARI74.677.1
DET77.673.3
TB84.7720.7
LV83.9720.4
IND79.87-1.9
KC82.175.7
NO79.76-1.0
TB84.767.5
MIA82.864.0
PHI79.2611.5
WAS82.568.0
CLE82.964.0
NYJ79.360.3
MIN77.6615.2
CLE82.962.0
BUF79.868.0
BUF79.8612.2
NYG81.1621.8
GB78.0613.3
WAS82.561.3
KC82.167.5
SEA74.9611.2
PIT83.163.5
DAL77.861.3
WAS82.5612.0
HOU83.261.8
NYJ79.35-0.2
TEN83.0510.0
CIN77.25-3.0
CHI84.75-3.0
ATL88.754.6
TB84.7515.0
NE85.7511.4
DET77.6516.2
HOU83.257.8
MIN77.658.6
CHI84.751.4
HOU83.2513.2
IND79.856.2
MIA82.855.4
PIT83.159.4
LAC88.2512.8
CLE82.95-1.6
ATL88.743.3
ATL88.743.0
TB84.74-5.5
NYG81.14-1.0
SF83.942.8
DEN82.047.8
SF83.944.8
SF83.9412.5
ATL88.7412.0
DAL77.847.3
DET77.6412.5
DAL77.84-3.0
PIT83.14-2.8
IND79.84-0.3
NO79.742.8
TB84.74-3.8
NYG81.1419.3
LV83.944.5
CHI84.7411.8
NE85.7419.0
MIN77.648.0
TB84.7438.0
NYG81.1413.8
KC82.1421.3
CAR78.9419.3
WAS82.535.3
LAC88.2314.7
MIA82.835.7
LAC88.233.7
ATL88.738.0
TB84.7311.0
BAL80.9331.0
CHI84.734.3
PHI79.238.3
NYG81.1311.7
CAR78.938.7
LAC88.238.3
SF83.939.0
BAL80.93-4.3
MIA82.8312.0
TEN83.0311.0
CIN77.23-0.3
MIA82.833.3
LV83.939.0
BUF79.830.3
ARI74.630.0
PHI79.232.7
DEN82.030.0
BUF79.8313.0
ARI74.633.3
NYJ79.332.7
ATL88.738.7
LAC88.2311.3
IND79.8318.0
SF83.9313.3
DEN82.038.0
ATL88.732.3
CHI84.735.3
GB78.0314.3
LAC88.2318.7
GB78.033.3
DEN82.03-3.0
JAX71.92-4.0
CLE82.923.0
JAX71.928.5
ATL88.720.0
TEN83.0213.5
GB78.02-1.0
CAR78.92-2.0
LV83.9212.0
LA77.82-1.5
SEA74.927.0
PHI79.222.0
PIT83.122.0
HOU83.224.5
BUF79.821.5
NE85.720.0
BAL80.9230.0
KC82.12-2.0
HOU83.227.0
TEN83.02-0.5
LV83.929.0
SEA74.928.0
KC82.120.5
NYJ79.32-5.0
BAL80.92-4.5
LA77.8211.5
SF83.929.5
CHI84.720.5
NE85.7211.5
LA77.822.5
BAL80.925.0
NE85.726.0
GB78.02-2.0
LAC88.22-4.0
LAC88.229.0
NE85.72-0.5
NE85.721.5
PIT83.121.0
PHI79.222.0
PHI79.22-4.0
CAR78.929.5
NO79.72-3.5
DEN82.0216.5
LA77.8229.0
TEN83.020.5
ARI74.62-1.5
PHI79.220.0
ATL88.72-3.5
DEN82.012.0
SEA74.918.0
IND79.8110.0
JAX71.91-6.0
CIN77.216.0
IND79.814.0
WAS82.514.0
PIT83.111.0
LA77.81-6.0
GB78.018.0
NYJ79.313.0
NO79.718.0
ATL88.711.0
MIA82.8112.0
CIN77.216.0
CHI84.719.0
WAS82.514.0
TEN83.014.0
LV83.9113.0
LA77.812.0
MIN77.61-4.0
MIN77.61-7.0
LAC88.2114.0
NYG81.11-1.0
CIN77.21-4.0
BAL80.91-3.0
NE85.71-2.0
NE85.7125.0
SEA74.9114.0
SEA74.911.0
SEA74.91-10.0
DEN82.0117.0
SEA74.91-4.0
LV83.911.0
CLE82.917.0
WAS82.51-1.0
JAX71.9121.0
CLE82.911.0
GB78.01-5.0
CLE82.9110.0
CAR78.91-6.0
MIN77.615.0
LAC88.213.0
NO79.716.0
SF83.9115.0
JAX71.914.0
DEN82.0114.0
PHI79.2113.0
LV83.9127.0
ARI74.613.0
LV83.9110.0
CAR78.91-1.0
MIN77.612.0
KC82.1111.0
NO79.717.0
DEN82.015.0
JAX71.913.0
CLE82.91-4.0
MIA82.8141.0
CIN77.217.0
DET77.611.0
TEN83.01-7.0
WAS82.5156.0
TEN83.016.0
MIA82.812.0
LA77.810.0

The Team Target Trees

Week 2 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
ATL88.74.7 yd3110Drake London16.1%
LAC88.210.0 yd2610Quentin Johnston19.2%
NE85.79.2 yd219Hunter Henry23.8%
CHI84.75.5 yd308Luther Burden III23.3%
TB84.712.5 yd337Ted Hurst III21.2%
LV83.99.8 yd2910Tre Tucker24.1%
SF83.98.6 yd217Deebo Samuel Sr.19.1%
HOU83.29.2 yd508Dalton Schultz28.0%
PIT83.15.3 yd378DK Metcalf24.3%
TEN83.06.6 yd178Carnell Tate29.4%
CLE82.93.6 yd309Denzel Boston23.3%
MIA82.87.3 yd238De'Von Achane26.1%
WAS82.510.6 yd349Terry McLaurin26.5%
KC82.15.7 yd438Travis Kelce25.6%
DEN82.09.3 yd2910Jaylen Waddle34.5%
NYG81.110.7 yd327Isaiah Likely31.3%
BAL80.910.7 yd298Rashod Bateman31.0%
BUF79.88.9 yd286Dalton Kincaid28.6%
IND79.85.3 yd307Josh Downs30.0%
NO79.76.0 yd328Chris Olave31.3%
NYJ79.37.1 yd367Adonai Mitchell33.3%
PHI79.28.9 yd349DeVonta Smith38.2%
CAR78.99.1 yd328Tetairoa McMillan31.3%
GB78.07.4 yd298Christian Watson37.9%
DAL77.87.9 yd315CeeDee Lamb29.0%
LA77.811.0 yd309Davante Adams33.3%
DET77.68.9 yd386Amon-Ra St. Brown34.2%
MIN77.68.5 yd197Justin Jefferson31.6%
CIN77.25.6 yd318Tee Higgins32.3%
SEA74.98.7 yd269Jaxon Smith-Njigba42.3%
ARI74.63.7 yd266Trey McBride38.5%
JAX71.910.4 yd288Parker Washington42.9%

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