AS Kigali vs Rwamagana City: result 4-0 and analysis
National Soccer LeagueRegular Season - 10Kick-off on November 21, 2022 at 01:00 PM (UTC)Stade Régional de Nyamirambo, Kigali
Full time
What was the result of AS Kigali vs Rwamagana City?
AS Kigali won 4-0 on November 21, 2022.
Goalscorers
- 12′?AS Kigali
- 23′?AS Kigali (pen.)
- 56′?AS Kigali
- 88′Haruna Fadhili NiyonzimaAS Kigali (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, AS Kigali have 7 wins, 6 draws and 2 defeats; Rwamagana City have 2, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 12, 2022 | Police(away) | 0-1 | National Soccer League |
| Nov 6, 2022 | Bugesera(home) | 0-0 | National Soccer League |
| Nov 2, 2022 | Musanze(home) | 0-0 | National Soccer League |
| Oct 30, 2022 | Gasogi United(away) | 1-0 | National Soccer League |
| Oct 26, 2022 | Mukura(away) | 1-0 | National Soccer League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 12, 2022 | Marines(home) | 1-0 | National Soccer League |
| Nov 6, 2022 | Etincelles(home) | 1-1 | National Soccer League |
| Oct 28, 2022 | Police(away) | 0-1 | National Soccer League |
| Oct 23, 2022 | Bugesera(away) | 0-2 | National Soccer League |
| Oct 13, 2022 | Gasogi United(home) | 1-0 | National Soccer League |
How many goals should we expect?
AS Kigali score 0.7 and concede 0.2 goals per match over their last 15; Rwamagana City score 0.6 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AS Kigali | 0.7 | 0.2 | 12 | 1/15 | 1/15 |
| Rwamagana City | 0.6 | 1.2 | 2 | 2/9 | 1/9 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | AS Kigali | 34 | 8 | 11 | 15 | 27 | 39 | 35 |
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