NFL
Team | SI | SN | Y! | B/R | CBS | USA | NFL | ESPN | Avg | SD | CGPR | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Philadelphia (0) | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1.0 | 0.0 | 1 |
2 | San Francisco (2) | 2 | 2 | 2 | 5 | 5 | 3 | 4 | 2 | 3.1 | 1.4 | 8 |
3 | Kansas City (-1) | 3 | 4 | 4 | 2 | 4 | 2 | 5 | 3 | 3.4 | 1.1 | 6 |
4 | Detroit (-1) | 4 | 3 | 3 | 3 | 2 | 6 | 3 | 4 | 3.5 | 1.2 | 4 |
5 | Baltimore (0) | 7 | 5 | 5 | 4 | 8 | 4 | 2 | 5 | 5.0 | 1.9 | 2 |
6 | Dallas (1) | 6 | 8 | 7 | 6 | 3 | 5 | 7 | 6 | 6.0 | 1.5 | 3 |
7 | Miami (-1) | 8 | 6 | 6 | 7 | 6 | 7 | 6 | 7 | 6.6 | 0.7 | 9 |
8 | Cleveland (0) | 5 | 9 | 9 | 10 | 7 | 10 | 9 | 8 | 8.4 | 1.7 | 5 |
9 | Jacksonville (0) | 9 | 7 | 8 | 9 | 9 | 9 | 8 | 9 | 8.5 | 0.8 | 7 |
10 | Houston (2) | 12 | 10 | 11 | 11 | 10 | 8 | 10 | 12 | 10.5 | 1.3 | 10 |
11 | Buffalo (4) | 10 | 13 | 10 | 8 | 12 | 11 | 11 | 10 | 10.6 | 1.5 | 12 |
12 | Seattle (-1) | 14 | 12 | 12 | 12 | 11 | 14 | 12 | 11 | 12.3 | 1.2 | 14 |
13 | Pittsburgh (0) | 11 | 11 | 15 | 13 | 14 | 12 | 13 | 15 | 13.0 | 1.6 | 13 |
14 | Minnesota (0) | 15 | 14 | 14 | 14 | 13 | 18 | 14 | 13 | 14.4 | 1.6 | 11 |
15 | Denver (6) | 18 | 16 | 13 | 17 | 16 | 15 | 17 | 17 | 16.1 | 1.6 | 15 |
16 | Cincinnati (-6) | 16 | 15 | 18 | 15 | 18 | 26 | 18 | 14 | 17.5 | 3.8 | 16 |
17 | New Orleans (0) | 22 | 17 | 16 | 16 | 17 | 22 | 15 | 16 | 17.6 | 2.8 | 19 |
18 | Indianapolis (0) | 23 | 18 | 17 | 19 | 15 | 16 | 16 | 18 | 17.8 | 2.5 | 18 |
19 | LA Chargers (-3) | 13 | 21 | 21 | 18 | 26 | 17 | 19 | 21 | 19.5 | 3.8 | 17 |
20 | Las Vegas (-1) | 19 | 19 | 20 | 23 | 19 | 19 | 21 | 20 | 20.0 | 1.4 | 22 |
21 | Tampa Bay (-1) | 20 | 20 | 22 | 22 | 23 | 21 | 20 | 22 | 21.3 | 1.2 | 23 |
22 | LA Rams (4) | 24 | 22 | 25 | 24 | 20 | 13 | 24 | 19 | 21.4 | 4.0 | 21 |
23 | Atlanta (1) | 21 | 23 | 24 | 21 | 24 | 24 | 23 | 25 | 23.1 | 1.5 | 25 |
24 | Green Bay (3) | 17 | 25 | 23 | 25 | 25 | 25 | 22 | 24 | 23.3 | 2.8 | 20 |
25 | NY Jets (-3) | 25 | 24 | 19 | 20 | 22 | 27 | 25 | 26 | 23.5 | 2.9 | 24 |
26 | Washington (-3) | 27 | 26 | 27 | 26 | 21 | 31 | 26 | 23 | 25.9 | 2.9 | 28 |
27 | Tennessee (-2) | 26 | 29 | 28 | 29 | 27 | 23 | 27 | 27 | 27.0 | 1.9 | 27 |
28 | Chicago (1) | 31 | 28 | 26 | 27 | 28 | 28 | 28 | 28 | 28.0 | 1.4 | 26 |
29 | Arizona (-1) | 28 | 30 | 29 | 28 | 29 | 20 | 30 | 31 | 28.1 | 3.4 | 31 |
30 | NY Giants (1) | 29 | 27 | 30 | 30 | 30 | 30 | 29 | 29 | 29.3 | 1.0 | 29 |
31 | New England (-1) | 30 | 31 | 31 | 31 | 31 | 29 | 31 | 30 | 30.5 | 0.8 | 30 |
32 | Carolina (0) | 32 | 32 | 32 | 32 | 32 | 32 | 32 | 32 | 32.0 | 0.0 | 32 |
[SI] ( https://www.si.com/nfl/2023/11/21/power-rankings-eagles-on-top-after-beating-chiefs )
[CGPR] ( https://old.reddit.com/user/velociraptorfarmer/comments/1809e5x/2023_week_11_nfl_power_rankings/ )
Tim Boyles stats from his first 3 years at UConn: 25 games, 1,237 passing yards, 48% completion percentage (wtf???), 1 whole touchdown (wtf??????), 13 interceptions
This is legitimately one of the worst 3 year stat lines I’ve ever seen. But let’s give him the benefit of the doubt. Maybe there was a bad situation at UConn. Maybe it was a coaching problem or the team was just THAT horrible. Well here are his stats from his one season after he transferred to Eastern Kentucky (an FCS school FYI): 12 games, 2,134 yards, 11 touchdowns, 13 interceptions, 61.5 % completion percentage.
Better, but the competition dropped going from an FBS school to an FCS school. So the question is HOW THE HELL did this guy end up with a job in the NFL?? And not only that, but get multiple jobs on multiple different teams. Is there something going on here? Something I’m missing in this story? No wonder the Jets were so hesitant to put this guy in. Now watch him torch the Dolphins on Friday lol
Aww, cripes. I didn't know I'd have to write a description. How many words is that so far, like a hundred? Soooo, yeah. Mildly interesting stuff. Stuff that interests you. Mildly. It's in the name, ffs.
Cocaine was big in professional baseball and football in the 1980s. Was this the case in racing as well?
AskAnAmerican: Learn about America, straight from the mouths of Americans.
At the beginning of the season, the map is divided into 32 regions, each controlled by a team in the NFL. When a team defeats another team, if the defeated team controls any land, that land is taken by the winner.
https://preview.redd.it/nfl-imperialism-week-11-2023-v0-of1e81z6um1c1.png?width=1280&format=png&auto=webp&s=00180ab82ef2de8dba24b325fef6865dc2b03bf0
Territory Changes
No territory was taken this week
Leaderboard
TEAM | # OF TERRITORIES |
---|---|
Browns | 14 |
Lions | 8 |
49ers | 6 |
Broncos | 2 |
Texans | 2 |
The Browns have held the most territory this season (47).
The Bears, Panthers, Patriots, Titans, and Vikings are tied for least territory held (1).
To get these scores, I gave each team a point for each territory they held per week (so if a team held 4 territories for 5 weeks, they would get 20 points)
Upcoming Battles
The 49ers are battling the Seahawks
The Lions are battling the Packers
The Texans are battling the Jaguars
The Broncos and the Browns are battling for control of the largest swath of land
ptdotme's NFL Elo Power Rankings After Week 11
(By popular demand, see the rankings without the influence of last year's season-ending ratings in my comment below, or here.)
For this week, the model has been tweaked to slightly increase the value of wins and slightly decrease the importance of margin of victory. As always, this change was only implemented because it increased the accuracy of the model. Again, this was only a slight change so you won't see a big change in the power rankings -- teams went up or down a few Elo rating points and a few pairs of similarly-rated teams swapped rankings.
This is OC. I’ve written code to calculate NFL team Elo ratings1 on a week to week basis. The goal is to use simple Elo ratings to create power rankings without the influence of human bias and emotion. The ratings are based on each team's rating from the previous week, with a "parity reset" applied every offseason. The model has been tested for accuracy against game outcomes since week 1 of the 20122 season. The ratings are derived only from each game's score, venue, and date. There are a number of variables/weights in my secret sauce but otherwise they're fairly conservative, basic, Elo ratings.
This is all a work in progress and feedback is appreciated! See more stats and info on my 2023 NFL Elo Power Rankings page.
Note: You may feel teams are ranked too high or low based on recent games, and you may be right. However, the model has been tested and is more accurate when it doesn't overreact to individual games. The goal is model accuracy, not rankings that "look right." 2
Rank | Team | Elo Rating | Record |
---|---|---|---|
1 | San Francisco 49ers | 1578 (+5) | 7-3 |
2 | Dallas Cowboys | 1568 (+9) | 7-3 |
3 (+1) | Baltimore Ravens | 1560 (+10) | 8-3 |
4 (+2) | Buffalo Bills | 1556 (+11) | 6-5 |
5 (-2) | Philadelphia Eagles | 1555 (+2) | 9-1 |
6 (-1) | Kansas City Chiefs | 1544 (-3) | 7-3 |
7 | Detroit Lions | 1531 (-4) | 8-2 |
8 (+1) | Miami Dolphins | 1525 | 7-3 |
9 (-1) | Cincinnati Bengals | 1525 (-10) | 5-5 |
10 (+3) | Jacksonville Jaguars | 1523 (+12) | 7-3 |
11 | Cleveland Browns | 1520 (-1) | 7-3 |
12 (-2) | Los Angeles Chargers | 1520 (-3) | 4-6 |
13 (-1) | Minnesota Vikings | 1513 (-4) | 6-5 |
14 | Seattle Seahawks | 1500 (-3) | 6-4 |
15 | New Orleans Saints | 1500 | 5-5 |
16 (+1) | Green Bay Packers | 1497 (+4) | 4-6 |
17 (-1) | Tampa Bay Buccaneers | 1490 (-5) | 4-6 |
18 (+1) | Pittsburgh Steelers | 1490 (+1) | 6-4 |
19 (+1) | Denver Broncos | 1489 (+3) | 5-5 |
20 (-2) | Houston Texans | 1489 (-1) | 6-4 |
21 | Las Vegas Raiders | 1477 (+1) | 5-6 |
22 (+4) | Los Angeles Rams | 1474 (+3) | 4-6 |
23 | Indianapolis Colts | 1473 | 5-5 |
24 (+3) | Atlanta Falcons | 1468 | 4-6 |
25 (+3) | New England Patriots | 1466 | 2-8 |
26 (-4) | New York Jets | 1462 (-12) | 4-6 |
27 (-3) | Tennessee Titans | 1461 (-12) | 3-7 |
28 (+1) | Chicago Bears | 1460 (+4) | 3-8 |
29 (-4) | Washington Commanders | 1459 (-13) | 4-7 |
30 (+2) | New York Giants | 1449 (+14) | 3-8 |
31 | Arizona Cardinals | 1445 (+1) | 2-9 |
32 (-2) | Carolina Panthers | 1435 (-9) | 1-9 |
The top 4 teams won handily. The Ravens' Elo rating got a boost from a big win after Burrow went down, and the Bengals have nearly fallen out of the top 10. The Eagles were slight Elo underdogs at the Chiefs, and picked up a couple Elo points from their win last night. The Browns beat a weaker Steelers team by a smaller than expected margin, and thus lost an Elo rating point and didn't return to the top 10. The Jaguars had a nice win and skipped over a few closely bunched teams to get back into the top 10.
The Buccs, Steelers, Broncos, and Texans are all rated nearly the same, so their ordering from 17th-20th isn't meaningful.
The Broncos are on a league-leading 4-game, +33 Elo hot streak (the Raiders, Bears, and Steelers are on 3-game Elo hot streaks). The Jets are on a 4-game -29 Elo cold streak (the Titans, Panthers, Seahawks, and Patriots are on 3-game cold streak).
1See Wikipedia. Elo ratings are numeric and assigned to each contestant. The ratings are used to estimate performance. After each game, the difference between a contestant's estimated and actual performance is used to update their rating. For the NFL, this can all be summarized as "Who did you beat/lose to and by how much? And who have they beaten/lost to and by how much? And who have they beaten/lost to ...
2Moving backward through the years, each preceding season has a much smaller impact on the current ratings. Team ratings from 2010 have zero impact on today's ratings. Ratings from only a couple years ago, say 2021, have almost no effect on today's ratings. Seasons going back to 2010 are only used by the model to ensure its accuracy over thousands of NFL games.
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