World Cup 2026  /  Composite Ratings
Six sources, one index

Composite ratings & predictions

Our model is one opinion. This page blends it with five independent ones — Elo ratings, Pelé ratings, FIFA ranking points, betting-market title odds, and the Opta supercomputer — into a single composite index, scaled so the top team sits at 100. Where the columns agree, the signal is strong; where they split, that’s where tournaments get interesting.

All 48 teams

The composite board

Every column is scaled 0–100 within its source. Click a column to sort by it.

TeamCompositeOur modelEloPeléFIFAMarketOpta
1France98.899.097.996.899.0100.0100.0
2Spain96.6100.0100.0100.099.786.793.5
3Argentina95.692.498.998.1100.089.495.0
4England87.587.584.988.991.879.792.5
5Portugal80.882.080.580.981.974.585.3
6Colombia73.261.679.975.870.268.383.1
7Morocco70.660.068.266.579.763.985.2
8Norway70.061.675.073.146.874.589.2
9Belgium68.664.866.767.777.556.778.0
10Mexico67.151.671.165.868.468.377.6
11Brazil66.171.477.887.981.577.70.0
12Switzerland65.558.671.168.462.254.178.6
13Netherlands63.377.774.975.479.572.70.0
14United States60.449.151.753.865.763.978.4
15Germany60.375.666.473.876.569.60.0
16Croatia50.158.863.059.373.046.70.0
17Japan49.247.963.862.764.256.70.0
18Uruguay47.053.557.564.466.140.90.0
19Egypt46.742.844.946.047.630.868.0
20Senegal46.348.154.161.167.946.70.0
21Ecuador43.939.661.565.053.743.50.0
22Austria40.146.654.852.153.433.50.0
23Turkey38.556.259.061.154.90.00.0
24Ivory Coast35.938.642.249.544.140.90.0
25Algeria35.541.246.146.149.130.80.0
26Canada35.432.642.549.347.140.90.0
27Paraguay34.732.853.959.938.123.40.0
28Australia34.423.451.344.450.436.70.0
29Iran33.845.547.236.557.216.60.0
30Sweden33.640.442.845.938.933.50.0
31South Korea32.931.241.738.352.633.50.0
32Scotland32.435.244.746.137.830.80.0
33DR Congo28.533.339.241.932.923.40.0
34Czech Republic23.931.836.037.538.30.00.0
35Panama22.828.833.031.043.80.00.0
36Ghana19.322.321.331.611.828.60.0
37Bosnia and Herzegovina18.714.825.929.418.523.40.0
38South Africa18.616.119.827.025.323.40.0
39Uzbekistan18.024.529.423.530.40.00.0
40Cape Verde17.917.127.823.315.823.40.0
41Jordan14.621.529.018.518.60.00.0
42Tunisia14.312.320.220.133.30.00.0
43Saudi Arabia14.112.124.719.624.63.20.0
44Iraq12.713.820.114.028.30.00.0
45New Zealand6.65.416.414.30.03.20.0
46Haiti6.06.614.212.42.80.00.0
47Qatar4.80.00.00.029.00.00.0
48Curaçao1.90.23.64.73.20.00.0
Round by round

How far does everyone go?

Our model only →

Composite probability (%) of reaching each stage — our simulation and Opta’s averaged, with the betting market folded into the title column.

TeamR32R16QFSFFinalTitle
1France>99>99>99754628
2Argentina>99>9982583516
3Spain>99>9961462514
4England>99>9985563112
5Portugal>99>993925115.5
6Norway>99>99>9937165.1
7Morocco>99>99>99259.13.1
8Colombia>99>9956218.52.8
9Brazil>99>990.00.00.01.9
10United States>99>9949143.91.7
11Belgium>99>9951154.81.6
12Mexico>99>99156.52.81.6
13Switzerland>99>9944155.51.4
14Netherlands>990.00.00.00.01.4
15Germany>990.00.00.00.01.1
16Japan>990.00.00.00.0<1
17Egypt>99>99186.41.6<1
18Senegal>990.00.00.00.0<1
19Croatia>990.00.00.00.0<1
20Ecuador>990.00.00.00.0<1
21Canada>99>990.00.00.0<1
22Ivory Coast>990.00.00.00.0<1
23Uruguay0.00.00.00.00.0<1
24Australia>990.00.00.00.0<1
25Sweden>990.00.00.00.0<1
26South Korea0.00.00.00.00.0<1
27Austria>990.00.00.00.0<1
28Scotland0.00.00.00.00.0<1
29Algeria>990.00.00.00.0<1
30Ghana>990.00.00.00.0<1
31Bosnia and Herzegovina>990.00.00.00.0<1
32DR Congo>990.00.00.00.0<1
33South Africa>990.00.00.00.0<1
34Paraguay>99>990.00.00.0<1
35Cape Verde>990.00.00.00.0<1
36Iran0.00.00.00.00.0<1
37New Zealand0.00.00.00.00.0<1
38Saudi Arabia0.00.00.00.00.0<1
39Czech Republic0.00.00.00.00.0<1
40Curaçao0.00.00.00.00.0<1
41Panama0.00.00.00.00.0<1
42Jordan0.00.00.00.00.0<1
43Haiti0.00.00.00.00.0<1
44Iraq0.00.00.00.00.0<1
45Qatar0.00.00.00.00.0<1
46Tunisia0.00.00.00.00.0<1
47Turkey0.00.00.00.00.0<1
48Uzbekistan0.00.00.00.00.0<1
Model vs. market

Where we disagree with Vegas

Title odds where our model and the betting market split the most, in percentage points. When the tournament ends, this list is the model’s report card.

Model higher than market

Englandus 17% · mkt 6.6%+10.2
Spainus 18% · mkt 11%+7.2
Argentinaus 19% · mkt 13%+6.1
Portugalus 7.2% · mkt 4.6%+2.6
Franceus 28% · mkt 27%+1.5

Market higher than model

Brazilus 0.0% · mkt 5.8%-5.8
Netherlandsus 0.0% · mkt 4.1%-4.1
Germanyus 0.0% · mkt 3.3%-3.3
Mexicous 0.0% · mkt 3.0%-3.0
Norwayus 3.1% · mkt 4.6%-1.5
Group stage

Matches where we split with the market

All matches →

Group games where our model’s most likely result differs from the betting market’s favorite.

ARG v CPVFri, Jul 3us: home win 95% · market: NaN%
FRA v SWETue, Jun 30us: home win 91% · market: NaN%
ENG v CODWed, Jul 1us: home win 89% · market: NaN%
ESP v AUTThu, Jul 2us: home win 89% · market: NaN%
GER v PARMon, Jun 29us: home win 84% · market: NaN%
COL v GHAFri, Jul 3us: home win 82% · market: NaN%
Methodology

How the composite works

Each source is normalized to a 0–100 scale (best team = 100) and the composite index is their average: our team-strength model, World Football Elo, Pelé ratings, FIFA ranking points, title odds implied by the betting market, and Opta’s supercomputer. Round-by-round probabilities average our tournament simulation with Opta’s published numbers; match probabilities additionally fold in sportsbook and prediction-market prices, with the source count shown on each match page. None of it is betting advice — it’s a transparent look at how six independent systems see the same tournament.