Vipers vs Masaka LC: result 1-0 and analysis
Premier LeagueRegular Season - 14Kick-off on February 7, 2013 at 11:00 PM (UTC)St. Mary's Stadium, Kitende
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What was the result of Vipers vs Masaka LC?
Vipers won 1-0 on February 7, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vipers have 10 wins, 3 draws and 2 defeats; Masaka LC have 4, 7 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 4, 2013 | Entebbe(away) | 0-2 | Premier League |
| Jan 14, 2013 | SCVU(away) | 3-1 | Premier League |
| Jan 7, 2013 | Victors(home) | 3-0 | Premier League |
| Jan 4, 2013 | URA(away) | 1-0 | Premier League |
| Dec 27, 2012 | BUL(home) | 0-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 31, 2013 | Proline(home) | 0-0 | Premier League |
| Jan 10, 2013 | Water(home) | 3-1 | Premier League |
| Jan 7, 2013 | Aurum Roses(home) | 1-0 | Premier League |
| Jan 4, 2013 | Entebbe(home) | 1-2 | Premier League |
| Dec 31, 2012 | Simba(away) | 0-1 | Premier League |
What does the head-to-head say?
In the last meeting: 0 Vipers wins, 1 draw, 0 Masaka LC wins.
| Date | Score | Competition |
|---|---|---|
| Oct 4, 2012 | Masaka LC 2-2 Vipers | Premier League |
How many goals should we expect?
Vipers score 1.6 and concede 0.6 goals per match over their last 15; Masaka LC score 0.8 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vipers | 1.6 | 0.6 | 9 | 5/15 | 6/15 |
| Masaka LC | 0.8 | 0.9 | 7 | 6/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Vipers | 4 | 2 | 1 | 1 | 8 | 2 | 7 |
A question about Vipers vs Masaka LC?
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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