Rayon Sports vs Bugesera: result 3-0 and analysis
National Soccer LeagueRegular Season - 5Kick-off on November 8, 2018 at 01:30 PM (UTC)Kigali Pelé Stadium, Kigali
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What was the result of Rayon Sports vs Bugesera?
Rayon Sports won 3-0 on November 8, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rayon Sports have 6 wins, 5 draws and 4 defeats; Bugesera have 1, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2018 | Gicumbi(home) | 3-0 | National Soccer League |
| Nov 1, 2018 | Sunrise(away) | 2-1 | National Soccer League |
| Oct 28, 2018 | Mukura(home) | 1-2 | National Soccer League |
| Oct 20, 2018 | Etincelles(away) | 1-0 | National Soccer League |
| Sep 23, 2018 | Enyimba(away) | 1-5 | CAF Confederation Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2018 | Sunrise(home) | 1-1 | National Soccer League |
| Oct 31, 2018 | Mukura(away) | 0-1 | National Soccer League |
| Oct 27, 2018 | Etincelles(home) | 1-0 | National Soccer League |
| Oct 21, 2018 | Marines(away) | 1-1 | National Soccer League |
How many goals should we expect?
Rayon Sports score 1.1 and concede 1.0 goals per match over their last 15; Bugesera score 0.8 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rayon Sports | 1.1 | 1.0 | 7 | 7/15 | 7/15 |
| Bugesera | 0.8 | 0.8 | 1 | 2/4 | 0/4 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Rayon Sports sit 18th in National Soccer League (1 point from 2 matches) and Bugesera sit 14th (3 points from 2 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Bugesera | 2 | 1 | 0 | 1 | 2 | 1 | 3 |
| 18 | Rayon Sports | 2 | 0 | 1 | 1 | 1 | 2 | 1 |
A question about Rayon Sports vs Bugesera?
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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