SC Villa vs SCVU: result 1-1 and analysis
Premier LeagueRegular Season - 10Kick-off on November 12, 2013 at 01:30 PM (UTC)Betway Muteesa II Stadium, Kampala
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What was the result of SC Villa vs SCVU?
SC Villa and SCVU drew 1-1 on November 12, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, SC Villa have 7 wins, 3 draws and 5 defeats; SCVU have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2013 | Vipers(away) | 1-1 | Premier League |
| Oct 29, 2013 | Entebbe(home) | 1-0 | Premier League |
| Oct 25, 2013 | Masaka LC(away) | 2-1 | Premier League |
| Oct 22, 2013 | Bright Stars(home) | 3-1 | Premier League |
| Oct 15, 2013 | Tooro United(away) | 2-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2013 | Simba(away) | 1-0 | Premier League |
| Oct 29, 2013 | URA(home) | 2-0 | Premier League |
| Oct 25, 2013 | BUL(away) | 1-1 | Premier League |
| Oct 22, 2013 | Proline(home) | 0-1 | Premier League |
| Oct 18, 2013 | KCCA(away) | 0-0 | Premier League |
What does the head-to-head say?
Across the last 2 meetings: 1 SC Villa win, 1 draw, 0 SCVU wins.
| Date | Score | Competition |
|---|---|---|
| Mar 8, 2013 | SCVU 2-3 SC Villa | Premier League |
| Nov 1, 2012 | SC Villa 1-1 SCVU | Premier League |
How many goals should we expect?
SC Villa score 1.2 and concede 1.2 goals per match over their last 15; SCVU score 1.2 and concede 0.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SC Villa | 1.2 | 1.2 | 5 | 8/15 | 7/15 |
| SCVU | 1.2 | 0.4 | 9 | 4/15 | 2/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | SC Villa | 5 | 3 | 2 | 0 | 8 | 2 | 11 |
A question about SC Villa vs SCVU?
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