THE SHORT ANSWER
The Seattle Seahawks hold No. 1 heading into Week 6 at 1679 ELO, but the lead is shrinking after a 32–29 home loss to San Francisco. Buffalo (1659) is second, and the 5–0 49ers (1656) and Minnesota (1632) follow. Full table below.
Every week, Spreadspoke ranks every NFL team by ELO rating, a single number that rises with wins and falls with losses. How far it moves depends on the margin of victory and on how strong the opponent was. The league average is 1500.
NFL ELO power rankings (all 32 teams)
Ratings are before this week's games. Move is the change in rank from last week's rankings.
| Rank | Move | Team | Record | ELO | Week ± | Season | Last Game |
|---|---|---|---|---|---|---|---|
| 1 | – | Seattle Seahawks | 3–2 | 1679 | −20 | −13 | L 29–32 vs SF |
| 2 | – | Buffalo Bills | 4–1 | 1659 | +15 | ▲ +36 | W 37–34 @ LAR |
| 3 | – | San Francisco 49ers | 5–0 | 1656 | +20 | ▲ +91 | W 32–29 @ SEA |
| 4 | – | Minnesota Vikings | 5–0 | 1632 | +13 | ▲ +75 | W 23–13 @ NO |
| 5 | – | Jacksonville Jaguars | 4–1 | 1620 | +8 | ▲ +54 | W 19–17 vs PHI |
| 6 | ▲ 1 | New England Patriots | 3–2 | 1612 | +12 | +10 | W 45–17 vs LVR |
| 7 | ▲ 1 | Denver Broncos | 3–2 | 1605 | +13 | −13 | W 23–17 @ LAC |
| 8 | ▼ 2 | Los Angeles Rams | 2–3 | 1588 | −15 | ▼ −34 | L 34–37 vs BUF |
| 9 | ▲ 2 | Baltimore Ravens | 4–1 | 1578 | +21 | ▲ +25 | W 30–23 @ ATL |
| 10 | ▼ 1 | Kansas City Chiefs | 4–0 | 1569 | – | ▲ +77 | Bye |
| 11 | ▲ 1 | Detroit Lions | 3–2 | 1561 | +22 | −6 | W 45–21 @ ARI |
| 12 | ▼ 2 | Chicago Bears | 3–2 | 1535 | ▼ −34 | +6 | L 7–31 @ GB |
| 13 | ▲ 1 | Houston Texans | 1–4 | 1533 | +16 | ▼ −86 | W 26–3 @ TEN |
| 14 | ▼ 1 | Philadelphia Eagles | 2–3 | 1526 | −9 | ▼ −43 | L 17–19 @ JAX |
| 15 | – | Cincinnati Bengals | 3–2 | 1523 | +17 | ▲ +45 | W 31–24 @ MIA |
| 16 | – | Pittsburgh Steelers | 3–2 | 1522 | +18 | +12 | W 34–22 vs IND |
| 17 | – | Green Bay Packers | 3–2 | 1521 | ▲ +34 | −12 | W 31–7 vs CHI |
| 18 | – | Atlanta Falcons | 2–3 | 1465 | −20 | +2 | L 23–30 vs BAL |
| 19 | ▲ 1 | Indianapolis Colts | 2–3 | 1449 | −18 | −8 | L 22–34 @ PIT |
| 20 | ▲ 1 | Carolina Panthers | 2–2 | 1449 | – | ▲ +36 | Bye |
| 21 | ▲ 2 | New York Giants | 3–1–1 | 1443 | 0 | ▲ +34 | T 27–27 @ WAS |
| 22 | ▲ 5 | Tampa Bay Buccaneers | 1–4 | 1440 | ▲ +31 | ▼ −36 | W 24–16 @ DAL |
| 23 | ▼ 4 | Dallas Cowboys | 2–3 | 1438 | ▼ −32 | −12 | L 16–24 vs TB |
| 24 | ▼ 2 | Cleveland Browns | 3–2 | 1426 | −20 | +17 | L 12–17 @ NYJ |
| 25 | ▼ 1 | Los Angeles Chargers | 0–5 | 1417 | −14 | ▼ −111 | L 17–23 vs DEN |
| 26 | – | Washington Commanders | 1–3–1 | 1416 | 0 | ▼ −41 | T 27–27 vs NYG |
| 27 | ▼ 2 | Las Vegas Raiders | 3–2 | 1410 | −12 | ▲ +81 | L 17–45 @ NE |
| 28 | – | New Orleans Saints | 1–4 | 1377 | −13 | ▼ −45 | L 13–23 vs MIN |
| 29 | – | Miami Dolphins | 0–5 | 1365 | −16 | ▼ −86 | L 24–31 vs CIN |
| 30 | ▲ 1 | New York Jets | 2–3 | 1364 | +20 | ▲ +26 | W 17–12 vs CLE |
| 31 | ▼ 1 | Arizona Cardinals | 1–4 | 1358 | −23 | −16 | L 21–45 vs DET |
| 32 | – | Tennessee Titans | 0–5 | 1262 | −16 | ▼ −67 | L 3–26 vs HOU |
Tied ratings are ordered by unrounded ELO.
Who has moved most since Week 1
ELO points gained or lost since the start of the season.
Sample code: build the rankings yourself
The rankings come from spreadspoke_enhanced.csv, which carries pre-game and post-game ELO for both teams in every game.
import pandas as pd
# Spreadspoke enhanced game file: one row per game, 1966 to present
games = pd.read_csv("spreadspoke_enhanced.csv", low_memory=False)
# 2026 regular season through Week 5
season = games[games["schedule_season"] == 2026].copy()
season["week"] = season["schedule_week_str"].astype(int)
season = season[season["week"] <= 5]
# Stack home and away sides into one row per team per game
home = season[["week", "home_team_id", "elo_home_pre", "elo_home_post"]]
home.columns = ["week", "team", "elo_pre", "elo_post"]
away = season[["week", "away_team_id", "elo_away_pre", "elo_away_post"]]
away.columns = ["week", "team", "elo_pre", "elo_post"]
teams = pd.concat([home, away], ignore_index=True)
# Each team's latest game (teams on a Week 5 bye keep their Week 4 rating)
latest = teams.sort_values("week").groupby("team").tail(1)
# Rank 1 to 32 on current ELO
latest = latest.sort_values("elo_post", ascending=False).reset_index(drop=True)
latest.index += 1
print(latest[["team", "week", "elo_post"]])
The ELO update behind each post-game number uses K = 20, a 65-point home-field edge (none at neutral sites) and a margin-of-victory multiplier. Here it is as a function you can run on any game:
import math
def elo_update(home_elo, away_elo, home_pts, away_pts, neutral=False, k=20, hfa=65):
diff = home_elo - away_elo + (0 if neutral else hfa)
p_home = 1 / (1 + 10 ** (-diff / 400)) # home win probability
result = 1 if home_pts > away_pts else 0 if home_pts < away_pts else 0.5
winner_diff = diff if result == 1 else -diff
mov_mult = math.log(abs(home_pts - away_pts) + 1) * 2.2 / (winner_diff * 0.001 + 2.2)
shift = k * mov_mult * (result - p_home)
return home_elo + shift, away_elo - shift
# Week 5: Green Bay beat Chicago 31-7
print(elo_update(1487, 1569, 31, 7)) # (1521.0, 1535.0)
GET THE DATA
The file behind these rankings is included in the Spreadspoke ANALYST package. It includes historical data for every NFL game since 1966—including scores, closing spreads, weather, and pre- and post-game ELO ratings.
See ANALYST pricing →Frequently Asked Questions
What is a good ELO rating?
ELO centers around 1500 for an average team. Strong playoff-caliber teams sit above 1600; rebuilding teams fall below 1400. The gap between two teams maps to an expected point spread.
Methodology
All figures are computed from the Spreadspoke Analyst data package: spreadspoke_enhanced.csv (results with pre- and post-game ELO: elo_home_pre, elo_home_post, etc.) and nfl_elo_handicapping_master.csv (ELO, closing spreads and model edge per game). Coverage is all 79 regular-season games from Weeks 1–5 of 2026; Kansas City and Carolina were on a bye in Week 5 and keep their Week 4 rating. The model uses K = 20, a 65-point home-field advantage (none at neutral sites, such as Jacksonville vs. Philadelphia in Week 5) and a margin-of-victory multiplier. League average is 1500. This page is published weekly while games are played.
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