South Sudan vs Rwanda: result 3-2 and analysis
African Nations Championship - Qualification2nd RoundKick-off on December 22, 2024 at 01:00 PM (UTC)Juba Stadium, Juba
Full time
What was the result of South Sudan vs Rwanda?
South Sudan won 3-2 on December 22, 2024.
Goalscorers
- 12′Albert Aimable NsabimanaSouth Sudan (o.g.)
- 20′M. MalishSouth Sudan
- 49′Kevin MuhireRwanda
- 53′E. WajoSouth Sudan
- 66′?Rwanda
What is the recent form of both teams?
Over their last 15 matches in all competitions, South Sudan have 3 wins, 5 draws and 7 defeats; Rwanda have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 19, 2024 | South Africa(away) | 0-3 | Africa Cup of Nations - Qualification |
| Nov 14, 2024 | Congo(home) | 3-2 | Africa Cup of Nations - Qualification |
| Nov 3, 2024 | Kenya(away) | 1-1 | African Nations Championship - Qualification |
| Oct 27, 2024 | Kenya(home) | 2-0 | African Nations Championship - Qualification |
| Oct 15, 2024 | Uganda(home) | 1-2 | Africa Cup of Nations - Qualification |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 18, 2024 | Nigeria(away) | 2-1 | Africa Cup of Nations - Qualification |
| Nov 14, 2024 | Libya(home) | 0-1 | Africa Cup of Nations - Qualification |
| Oct 31, 2024 | Djibouti(home) | 3-0 | African Nations Championship - Qualification |
| Oct 27, 2024 | Djibouti(away) | 0-1 | African Nations Championship - Qualification |
| Oct 15, 2024 | Benin(home) | 2-1 | Africa Cup of Nations - Qualification |
How many goals should we expect?
South Sudan score 0.8 and concede 1.5 goals per match over their last 15; Rwanda score 0.9 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| South Sudan | 0.8 | 1.5 | 4 | 6/15 | 6/15 |
| Rwanda | 0.9 | 0.7 | 7 | 4/15 | 4/15 |
Over the last 15 matches in all competitions.
How does Footlab compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy