2022 CAF World Cup Qualification Ratings
Ratings based on 2022 CAF World Cup Qualification
Field Strength = 98.96
| | MP | GF | GA | RATING |
|---|
| Morocco | CAF | 8 | 25 | 3 | 101.76 |
| Algeria | CAF | 8 | 27 | 6 | 101.10 |
| Cameroon | CAF | 8 | 14 | 5 | 100.62 |
| Tunisia | CAF | 8 | 12 | 2 | 100.61 |
| Mali | CAF | 8 | 11 | 1 | 100.58 |
| Senegal | CAF | 8 | 16 | 5 | 100.39 |
| Ivory Coast | CAF | 6 | 10 | 3 | 100.23 |
| Egypt | CAF | 8 | 11 | 5 | 99.92 |
| Burkina Faso | CAF | 6 | 12 | 4 | 99.66 |
| Ghana | CAF | 8 | 8 | 4 | 99.65 |
| Uganda | CAF | 6 | 3 | 2 | 99.62 |
| South Africa | CAF | 6 | 6 | 2 | 99.62 |
| Democratic Republic of Congo | CAF | 8 | 11 | 8 | 99.53 |
| Nigeria | CAF | 8 | 10 | 4 | 99.43 |
| Equatorial Guinea | CAF | 8 | 8 | 6 | 99.39 |
| Zambia | CAF | 6 | 8 | 9 | 99.29 |
| Angola | CAF | 8 | 9 | 9 | 99.16 |
| Togo | CAF | 8 | 8 | 7 | 99.13 |
| Gabon | CAF | 6 | 7 | 8 | 99.08 |
| Rwanda | CAF | 8 | 12 | 9 | 99.06 |
| Malaysia | CAF | 2 | 12 | 2 | 99.06 |
| Benin | CAF | 6 | 5 | 4 | 99.05 |
| Libya | CAF | 6 | 4 | 7 | 98.98 |
| Cape Verde | CAF | 6 | 8 | 6 | 98.88 |
| Lesotho | CAF | 2 | 1 | 1 | 98.88 |
| Tanzania | CAF | 8 | 8 | 10 | 98.78 |
| Burundi | CAF | 2 | 2 | 2 | 98.70 |
| South Sudan | CAF | 2 | 1 | 2 | 98.69 |
| Liberia | CAF | 8 | 8 | 10 | 98.56 |
| Kenya | CAF | 6 | 4 | 9 | 98.55 |
| Mozambique | CAF | 8 | 5 | 8 | 98.47 |
| Sudan | CAF | 8 | 8 | 13 | 98.46 |
| Ethiopia | CAF | 8 | 5 | 8 | 98.44 |
| Guinea | CAF | 6 | 5 | 11 | 98.41 |
| Namibia | CAF | 8 | 9 | 11 | 98.39 |
| Congo | CAF | 6 | 5 | 10 | 98.38 |
| Malawi | CAF | 8 | 3 | 12 | 98.36 |
| Gambia | CAF | 2 | 1 | 3 | 98.28 |
| Madagascar | CAF | 6 | 4 | 9 | 98.27 |
| Zimbabwe | CAF | 8 | 5 | 9 | 98.21 |
| Central African Republic | CAF | 6 | 4 | 9 | 98.20 |
| Niger | CAF | 6 | 13 | 17 | 98.17 |
| Mauritania | CAF | 6 | 2 | 11 | 98.10 |
| Somalia | CAF | 2 | 2 | 3 | 98.09 |
| Guinea-Bissau | CAF | 8 | 8 | 12 | 98.04 |
| São Tomé and Príncipe | CAF | 2 | 1 | 3 | 98.00 |
| Botswana | CAF | 2 | 0 | 1 | 97.89 |
| Comoros | CAF | 2 | 1 | 3 | 97.82 |
| Sierra Leone | CAF | 2 | 2 | 3 | 97.58 |
| Chad | CAF | 2 | 1 | 3 | 97.50 |
| Eritrea | CAF | 2 | 1 | 4 | 97.38 |
| Mauritius | CAF | 2 | 0 | 3 | 97.15 |
| Djibouti | CAF | 8 | 6 | 30 | 96.36 |
| Eswatini | CAF | 2 | 1 | 2 | 95.59 |
| Seychelles | CAF | 2 | 0 | 10 | 94.16 |
| East Timor | CAF | 2 | 2 | 12 | 91.98 |
Methodology for predictor ratings developed in SAS. Methodology is as follows:
i. Calculate an intial rating: (GF-GA)/MP +100 for every team
ii. Calculate the mean intial ratings for all opponents as intial
strength of schedule.
iii. Adjust initial rating of every team by initial strength of schedule.
iv. Iterate through steps ii. and iii. until convergence or ten
iterations (which ever comes first) to calculate final strength of schedule (variable OPP above).
v. Adjust initial rating by final strength of schedule (using formula: Rating = Initial Rating + [Final Strength of Schedule - 100])
