Mukura vs Vision: result 2-1 and analysis
National Soccer LeagueRegular Season - 4Kick-off on September 22, 2024 at 01:00 PM (UTC)Stade Huye, Butare
Full time
What was the result of Mukura vs Vision?
Mukura won 2-1 on September 22, 2024.
Goalscorers
- 2′?Mukura
- 10′A. BoatengMukura
- 26′?Vision
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mukura have 6 wins, 3 draws and 6 defeats; Vision have 2, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2024 | Kiyovu Sports(away) | 1-0 | National Soccer League |
| Aug 24, 2024 | Etincelles(home) | 0-0 | National Soccer League |
| Aug 15, 2024 | Gasogi United(home) | 0-1 | National Soccer League |
| May 11, 2024 | Gorilla(away) | 1-2 | National Soccer League |
| May 5, 2024 | Gasogi United(home) | 2-1 | National Soccer League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2024 | Legon Cities(home) | 1-1 | Premier League |
| Sep 16, 2024 | Accra Lions(away) | 2-0 | Premier League |
| Sep 13, 2024 | Rwamagana City(home) | 1-1 | National Soccer League |
| Sep 7, 2024 | Berekum Chelsea(home) | 0-0 | Premier League |
| Sep 1, 2024 | Asante Kotoko(away) | 1-2 | Friendlies Clubs |
How many goals should we expect?
Mukura score 1.1 and concede 0.9 goals per match over their last 15; Vision score 0.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mukura | 1.1 | 0.9 | 6 | 5/15 | 5/15 |
| Vision | 0.9 | 0.9 | 2 | 5/9 | 2/9 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Mukura | 3 | 2 | 0 | 1 | 4 | 2 | 6 |
A question about Mukura 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