AS Kigali vs APR: result 0-3 and analysis
National Soccer LeagueRegular Season - 11Kick-off on December 23, 2018 at 01:30 PM (UTC)Stade Régional de Nyamirambo, Kigali
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What was the result of AS Kigali vs APR?
APR won 0-3 on December 23, 2018.
What is the recent form of both teams?
Over their last 10 matches in all competitions, AS Kigali have 3 wins, 4 draws and 3 defeats; APR have 10, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 19, 2018 | Gicumbi(home) | 6-0 | National Soccer League |
| Dec 16, 2018 | Kiyovu Sports(away) | 1-0 | National Soccer League |
| Dec 13, 2018 | Bugesera(home) | 3-0 | National Soccer League |
| Dec 9, 2018 | Rayon Sports(away) | 0-1 | National Soccer League |
| Nov 29, 2018 | Sunrise(home) | 0-1 | National Soccer League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 20, 2018 | Kiyovu Sports(home) | 1-0 | National Soccer League |
| Dec 16, 2018 | Bugesera(away) | 1-1 | National Soccer League |
| Dec 12, 2018 | Rayon Sports(home) | 2-1 | National Soccer League |
| Nov 6, 2018 | Etincelles(away) | 2-0 | National Soccer League |
| Nov 3, 2018 | Marines(away) | 2-0 | National Soccer League |
How many goals should we expect?
AS Kigali score 1.2 and concede 0.6 goals per match over their last 10; APR score 1.8 and concede 0.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AS Kigali | 1.2 | 0.6 | 5 | 2/10 | 2/10 |
| APR | 1.8 | 0.4 | 7 | 4/12 | 4/12 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
AS Kigali sit 14th in National Soccer League (35 points from 34 matches) and APR sit 2nd (68 points from 34 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | APR | 34 | 19 | 11 | 4 | 50 | 28 | 68 |
| 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