SC Villa vs Rwenshama: result 2-1 and analysis
Premier LeagueRegular Season - 14Kick-off on February 24, 2015 at 01:30 PM (UTC)Betway Muteesa II Stadium, Kampala
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What was the result of SC Villa vs Rwenshama?
SC Villa won 2-1 on February 24, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, SC Villa have 10 wins, 3 draws and 2 defeats; Rwenshama have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 17, 2015 | Sadolin Paints(home) | 1-0 | Premier League |
| Dec 23, 2014 | Sadolin Paints(away) | 3-0 | Premier League |
| Dec 19, 2014 | Bright Stars(home) | 1-0 | Premier League |
| Dec 16, 2014 | Vipers(away) | 1-1 | Premier League |
| Dec 12, 2014 | SCVU(away) | 2-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 20, 2015 | SCVU(home) | 1-0 | Premier League |
| Feb 17, 2015 | Simba(away) | 2-0 | Premier League |
| Dec 23, 2014 | Simba(home) | 1-3 | Premier League |
| Dec 19, 2014 | Entebbe(away) | 1-2 | Premier League |
| Dec 16, 2014 | Lweza(home) | 2-1 | Premier League |
What does the head-to-head say?
In the last meeting: 1 SC Villa win, 0 draws, 0 Rwenshama wins.
| Date | Score | Competition |
|---|---|---|
| Nov 4, 2014 | Rwenshama 0-2 SC Villa | Premier League |
How many goals should we expect?
SC Villa score 1.7 and concede 0.3 goals per match over their last 15; Rwenshama score 1.1 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SC Villa | 1.7 | 0.3 | 11 | 3/15 | 5/15 |
| Rwenshama | 1.1 | 1.9 | 2 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | SC Villa | 6 | 4 | 2 | 0 | 14 | 3 | 14 |
A question about SC Villa vs Rwenshama?
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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