Masaka LC vs SC Villa: result 0-0 and analysis
Premier LeagueRegular Season - 18Kick-off on March 26, 2013 at 01:30 PM (UTC)
Full time
What was the result of Masaka LC vs SC Villa?
Masaka LC and SC Villa drew 0-0 on March 26, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Masaka LC have 4 wins, 5 draws and 6 defeats; SC Villa have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 15, 2013 | Express(away) | 2-1 | Premier League |
| Mar 8, 2013 | URA(away) | 0-3 | Premier League |
| Mar 1, 2013 | Victors(home) | 0-0 | Premier League |
| Feb 15, 2013 | KCCA(home) | 0-2 | Premier League |
| Feb 7, 2013 | Vipers(away) | 0-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 15, 2013 | KCCA(home) | 0-0 | Premier League |
| Mar 8, 2013 | SCVU(away) | 3-2 | Premier League |
| Mar 1, 2013 | Entebbe(home) | 1-1 | Premier League |
| Feb 22, 2013 | Kira Young(away) | 2-1 | Premier League |
| Feb 15, 2013 | Police(home) | 3-1 | Premier League |
What does the head-to-head say?
In the last meeting: 1 Masaka LC win, 0 draws, 0 SC Villa wins.
| Date | Score | Competition |
|---|---|---|
| Nov 12, 2012 | SC Villa 0-1 Masaka LC | Premier League |
Last archived meeting: SC Villa vs Masaka LC on Nov 12, 2012
How many goals should we expect?
Masaka LC score 0.6 and concede 0.9 goals per match over their last 15; SC Villa score 1.7 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Masaka LC | 0.6 | 0.9 | 6 | 4/15 | 4/15 |
| SC Villa | 1.7 | 0.9 | 4 | 10/15 | 8/15 |
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 Masaka LC vs SC Villa?
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