Rank | Team | Adj. Win % |
---|---|---|
1 | Kansas City | .763 |
2 | Philadelphia | .760 |
3 | Baltimore | .730 |
4 | Jacksonville | .707 |
5 | Cleveland | .690 |
6 | Pittsburgh | .690 |
7 | Detroit | .673 |
8 | San Francisco | .660 |
9 | Miami | .594 |
10 | Houston | .573 |
11 | Dallas | .564 |
12 | Seattle | .547 |
13 | NY Jets | .537 |
14 | Atlanta | .536 |
15 | Buffalo | .534 |
16 | Indianapolis | .533 |
17 | Tampa Bay | .513 |
18 | Cincinnati | .510 |
19 | LA Rams | .491 |
20 | Minnesota | .448 |
21 | Tennessee | .405 |
22 | LA Chargers | .394 |
23 | New Orleans | .393 |
24 | Washington | .388 |
25 | Las Vegas | .379 |
26 | New England | .362 |
27 | NY Giants | .334 |
28 | Green Bay | .323 |
29 | Denver | .309 |
30 | Chicago | .292 |
31 | Arizona | .221 |
32 | Carolina | .149 |
I’m using the Colley Matrix iteration process (https://www.colleyrankings.com/method.html)
To summarize, you take the win percentage of every team and correct it against the win percentage of their opponents. Then you have a new win percentage. And I repeat that process until the correction factor is below 0.01%. Essential this is what I would expect the win percentages to be if the teams played an average team every week.
Better top 10 list than most power ranking right now tbh