SC Villa vs Proline: result 1-0 and analysis
Premier LeagueRegular Season - 2Kick-off on August 30, 2013 at 01:30 PM (UTC)Betway Muteesa II Stadium, Kampala
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What was the result of SC Villa vs Proline?
SC Villa won 1-0 on August 30, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, SC Villa have 4 wins, 7 draws and 4 defeats; Proline have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 20, 2013 | KCCA(home) | 1-1 | Premier League |
| May 10, 2013 | Vipers(away) | 2-3 | Premier League |
| May 3, 2013 | Simba(home) | 0-0 | Premier League |
| Apr 26, 2013 | Proline(away) | 2-1 | Premier League |
| Apr 19, 2013 | Water(home) | 0-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 27, 2013 | Simba(home) | 0-2 | Premier League |
| May 10, 2013 | Water(home) | 2-0 | Premier League |
| May 7, 2013 | Police(away) | 1-1 | Premier League |
| May 3, 2013 | Victors(away) | 2-0 | Premier League |
| Apr 26, 2013 | SC Villa(home) | 1-2 | Premier League |
What does the head-to-head say?
Across the last 2 meetings: 2 SC Villa wins, 0 draws, 0 Proline wins.
| Date | Score | Competition |
|---|---|---|
| Apr 26, 2013 | Proline 1-2 SC Villa | Premier League |
| Jan 4, 2013 | SC Villa 2-1 Proline | Premier League |
How many goals should we expect?
SC Villa score 1.0 and concede 1.1 goals per match over their last 15; Proline score 0.9 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SC Villa | 1.0 | 1.1 | 4 | 8/15 | 6/15 |
| Proline | 0.9 | 1.4 | 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 |
|---|---|---|---|---|---|---|---|---|
| 3 | SC Villa | 5 | 3 | 2 | 0 | 8 | 2 | 11 |
A question about SC Villa vs Proline?
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