APR vs Rayon Sports: result 2-1 and analysis
National Soccer LeagueRegular Season - 8Kick-off on December 12, 2018 at 04:00 PM (UTC)Kigali Pelé Stadium, Kigali
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What was the result of APR vs Rayon Sports?
APR won 2-1 on December 12, 2018.
What is the recent form of both teams?
Over their last 9 matches in all competitions, APR have 8 wins, 0 draws and 1 defeat; Rayon Sports have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2018 | Etincelles(away) | 2-0 | National Soccer League |
| Nov 3, 2018 | Marines(away) | 2-0 | National Soccer League |
| Oct 31, 2018 | Kirehe(home) | 2-0 | National Soccer League |
| Oct 27, 2018 | Musanze(away) | 2-0 | National Soccer League |
| Oct 19, 2018 | Amagaju(home) | 2-0 | National Soccer League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 9, 2018 | AS Kigali(home) | 1-0 | National Soccer League |
| Nov 30, 2018 | Kiyovu Sports(away) | 1-2 | National Soccer League |
| Nov 8, 2018 | Bugesera(home) | 3-0 | National Soccer League |
| Nov 4, 2018 | Gicumbi(home) | 3-0 | National Soccer League |
| Nov 1, 2018 | Sunrise(away) | 2-1 | National Soccer League |
How many goals should we expect?
APR score 2.0 and concede 0.3 goals per match over their last 9; Rayon Sports score 1.3 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| APR | 2.0 | 0.3 | 6 | 2/9 | 3/9 |
| Rayon Sports | 1.3 | 1.0 | 7 | 8/15 | 8/15 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
APR sit 11th in National Soccer League (7 points from 3 matches) and Rayon Sports sit 10th (8 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Rayon Sports | 5 | 2 | 2 | 1 | 7 | 4 | 8 |
| 11 | APR | 3 | 2 | 1 | 0 | 7 | 3 | 7 |
A question about APR vs Rayon Sports?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy