Rayon Sports vs Young Africans: result 1-0 and analysis
CAF Confederation CupGroup Stage - 6Kick-off on August 29, 2018 at 01:00 PM (UTC)Kigali Pelé Stadium, Kigali
Full time
What was the result of Rayon Sports vs Young Africans?
Rayon Sports won 1-0 on August 29, 2018.
Goalscorers
- 19′B. BimenyimanaRayon Sports
What is the recent form of both teams?
Over their last 13 matches in all competitions, Rayon Sports have 5 wins, 4 draws and 4 defeats; Young Africans have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 19, 2018 | GOR Mahia(away) | 2-1 | CAF Confederation Cup |
| Jul 29, 2018 | USM Alger(away) | 1-1 | CAF Confederation Cup |
| Jul 18, 2018 | USM Alger(home) | 1-2 | CAF Confederation Cup |
| May 16, 2018 | Young Africans(away) | 0-0 | CAF Confederation Cup |
| May 6, 2018 | GOR Mahia(home) | 1-1 | CAF Confederation Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 19, 2018 | USM Alger(home) | 2-1 | CAF Confederation Cup |
| Jul 29, 2018 | GOR Mahia(home) | 2-3 | CAF Confederation Cup |
| Jul 18, 2018 | GOR Mahia(away) | 0-4 | CAF Confederation Cup |
| May 28, 2018 | Azam(home) | 1-3 | Ligi kuu Bara |
| May 25, 2018 | Ruvu Shooting(home) | 2-2 | Ligi kuu Bara |
What does the head-to-head say?
Across the last 1 meetings: 0 Rayon Sports win(s), 1 draw(s), 0 Young Africans win(s).
| Date | Score | Competition |
|---|---|---|
| May 16, 2018 | Young Africans 0-0 Rayon Sports | CAF Confederation Cup |
Last archived meeting: Young Africans vs Rayon Sports on May 16, 2018
How many goals should we expect?
Rayon Sports score 1.3 and concede 0.8 goals per match over their last 13; Young Africans score 0.7 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rayon Sports | 1.3 | 0.8 | 6 | 4/13 | 5/13 |
| Young Africans | 0.7 | 1.7 | 2 | 6/15 | 6/15 |
Over the last 13 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