SCVU vs URA: result 2-0 and analysis
Premier LeagueRegular Season - 9Kick-off on October 29, 2013 at 02:30 PM (UTC)Mandela National Stadium, Kampala
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What was the result of SCVU vs URA?
SCVU won 2-0 on October 29, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, SCVU have 8 wins, 4 draws and 3 defeats; URA have 8, 6 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Oct 8, 2013 | Kira Young(home) | 0-0 | Premier League |
| Oct 4, 2013 | CRO(away) | 1-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2013 | Vipers(home) | 0-0 | Premier League |
| Oct 22, 2013 | Entebbe(home) | 2-2 | Premier League |
| Oct 18, 2013 | Masaka LC(away) | 0-0 | Premier League |
| Oct 8, 2013 | Bright Stars(home) | 3-0 | Premier League |
| Oct 4, 2013 | Tooro United(away) | 0-0 | Premier League |
What does the head-to-head say?
Across the last 2 meetings: 2 SCVU wins, 0 draws, 0 URA wins.
| Date | Score | Competition |
|---|---|---|
| Feb 7, 2013 | URA 0-1 SCVU | Premier League |
| Oct 4, 2012 | SCVU 1-0 URA | Premier League |
How many goals should we expect?
SCVU score 1.1 and concede 0.5 goals per match over their last 15; URA score 1.3 and concede 0.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SCVU | 1.1 | 0.5 | 8 | 4/15 | 2/15 |
| URA | 1.3 | 0.3 | 12 | 2/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | URA | 4 | 1 | 0 | 3 | 3 | 7 | 3 |
A question about SCVU vs URA?
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