Bugesera vs Vision: result 1-2 and analysis
National Soccer LeagueRegular Season - 10Kick-off on November 23, 2024 at 01:00 PM (UTC)Bugesera Stadium, Nyamata
Full time
What was the result of Bugesera vs Vision?
Vision won 1-2 on November 23, 2024.
Goalscorers
- 40′331676Vision
- 45′?Vision
- 82′?Bugesera
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bugesera have 3 wins, 9 draws and 3 defeats; Vision have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2024 | Gorilla(home) | 0-0 | National Soccer League |
| Nov 2, 2024 | Musanze(home) | 1-1 | National Soccer League |
| Oct 26, 2024 | Kiyovu Sports(away) | 2-1 | National Soccer League |
| Oct 19, 2024 | Rayon Sports(away) | 0-2 | National Soccer League |
| Sep 27, 2024 | Gasogi United(home) | 0-0 | National Soccer League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2024 | Dreams(home) | 0-1 | Premier League |
| Nov 8, 2024 | Hearts of Oak(away) | 0-1 | Premier League |
| Nov 7, 2024 | APR(home) | 0-2 | National Soccer League |
| Nov 3, 2024 | Aduana Stars(home) | 0-0 | Premier League |
| Nov 2, 2024 | Amagaju(away) | 1-3 | National Soccer League |
How many goals should we expect?
Bugesera score 1.0 and concede 0.9 goals per match over their last 15; Vision score 0.7 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bugesera | 1.0 | 0.9 | 6 | 8/15 | 6/15 |
| Vision | 0.7 | 1.2 | 5 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Bugesera | 2 | 1 | 0 | 1 | 2 | 1 | 3 |
A question about Bugesera vs Vision?
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