2015 African Cup of Nations Qualification Ratings
Ratings based on 2015 African Cup of Nations Qualification
Field Strength = 97.50
| COUNTRY | MP | GF | GA | INIT | OPP | FIN |
|---|
| Senegal | 6 | 8 | 1 | 101.17 | 98.44 | 99.61 |
| Cameroon | 6 | 9 | 1 | 101.33 | 97.99 | 99.32 |
| Tunisia | 6 | 6 | 2 | 100.67 | 98.44 | 99.11 |
| Algeria | 6 | 11 | 4 | 101.17 | 97.68 | 98.85 |
| South Africa | 6 | 9 | 3 | 101.00 | 97.78 | 98.78 |
| Ghana | 6 | 11 | 7 | 100.67 | 97.82 | 98.49 |
| Guinea | 6 | 10 | 8 | 100.33 | 98.10 | 98.43 |
| Congo-Kinshasa | 6 | 10 | 9 | 100.17 | 98.25 | 98.42 |
| Gabon | 6 | 9 | 4 | 100.83 | 97.51 | 98.34 |
| Zambia | 6 | 6 | 2 | 100.67 | 97.51 | 98.18 |
| Rwanda | 4 | 5 | 2 | 100.75 | 97.42 | 98.17 |
| Burkina Faso | 6 | 8 | 4 | 100.67 | 97.50 | 98.17 |
| Egypt | 6 | 5 | 6 | 99.83 | 98.29 | 98.12 |
| Ivory Coast | 6 | 13 | 11 | 100.33 | 97.77 | 98.10 |
| Congo-Brazzaville | 10 | 11 | 9 | 100.20 | 97.88 | 98.08 |
| Mali | 6 | 8 | 6 | 100.33 | 97.74 | 98.07 |
| Nigeria | 6 | 9 | 7 | 100.33 | 97.71 | 98.04 |
| Cape Verde | 6 | 9 | 6 | 100.50 | 97.54 | 98.04 |
| Madagascar | 2 | 2 | 2 | 100.00 | 98.00 | 98.00 |
| Angola | 6 | 5 | 5 | 100.00 | 97.57 | 97.57 |
| Togo | 6 | 7 | 12 | 99.17 | 98.38 | 97.55 |
| Benin | 4 | 5 | 1 | 101.00 | 96.54 | 97.54 |
| Uganda | 10 | 9 | 7 | 100.20 | 97.21 | 97.41 |
| Botswana | 10 | 5 | 12 | 99.30 | 98.10 | 97.40 |
| Chad | 2 | 3 | 3 | 100.00 | 97.35 | 97.35 |
| Guinea-Bissau | 4 | 4 | 4 | 100.00 | 97.29 | 97.29 |
| Equatorial Guinea | 2 | 3 | 1 | 101.00 | 96.27 | 97.27 |
| Malawi | 10 | 9 | 13 | 99.60 | 97.67 | 97.27 |
| Tanzania | 4 | 6 | 6 | 100.00 | 97.23 | 97.23 |
| Ethiopia | 6 | 7 | 12 | 99.17 | 98.04 | 97.21 |
| Mozambique | 10 | 13 | 7 | 100.60 | 96.57 | 97.17 |
| Lesotho | 10 | 6 | 13 | 99.30 | 97.82 | 97.12 |
| Burundi | 2 | 0 | 1 | 99.50 | 97.54 | 97.04 |
| Sudan | 6 | 3 | 11 | 98.67 | 98.23 | 96.90 |
| Comoros | 2 | 1 | 2 | 99.50 | 97.38 | 96.88 |
| Swaziland | 2 | 1 | 2 | 99.50 | 97.19 | 96.69 |
| Zimbabwe | 2 | 2 | 3 | 99.50 | 97.17 | 96.67 |
| Niger | 6 | 4 | 11 | 98.83 | 97.77 | 96.60 |
| Sierra Leone | 9 | 7 | 15 | 99.11 | 97.46 | 96.57 |
| Mauritania | 6 | 4 | 6 | 99.67 | 96.84 | 96.51 |
| Kenya | 4 | 2 | 2 | 100.00 | 96.22 | 96.22 |
| Namibia | 2 | 1 | 3 | 99.00 | 97.05 | 96.05 |
| Central African Rep | 2 | 1 | 3 | 99.00 | 96.98 | 95.98 |
| Liberia | 2 | 1 | 2 | 99.50 | 96.30 | 95.80 |
| Libya | 2 | 0 | 3 | 98.50 | 97.24 | 95.74 |
| Sao Tome & Principe | 2 | 0 | 4 | 98.00 | 97.58 | 95.58 |
| Mauritius | 2 | 0 | 3 | 98.50 | 96.27 | 94.77 |
| South Sudan | 2 | 0 | 5 | 97.50 | 97.14 | 94.64 |
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])
