Bright Stars vs Vipers: result 0-1 and analysis
Premier LeagueRegular Season - 12Kick-off on November 22, 2013 at 02:30 PM (UTC)Kavumba Recreation Center, Wakiso
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What was the result of Bright Stars vs Vipers?
Vipers won 0-1 on November 22, 2013.
What is the recent form of both teams?
Over their last 14 matches in all competitions, Bright Stars have 4 wins, 5 draws and 5 defeats; Vipers have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 19, 2013 | Entebbe(away) | 2-2 | Premier League |
| Nov 8, 2013 | Masaka LC(home) | 2-1 | Premier League |
| Nov 5, 2013 | Express(home) | 0-0 | Premier League |
| Nov 1, 2013 | Tooro United(away) | 0-0 | Premier League |
| Oct 25, 2013 | Police(home) | 2-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 19, 2013 | Tooro United(home) | 4-0 | Premier League |
| Nov 10, 2013 | SC Villa(home) | 1-1 | Premier League |
| Nov 8, 2013 | Police(away) | 0-0 | Premier League |
| Nov 1, 2013 | Simba(away) | 3-0 | Premier League |
| Oct 25, 2013 | URA(away) | 0-0 | Premier League |
How many goals should we expect?
Bright Stars score 0.9 and concede 1.4 goals per match over their last 14; Vipers score 1.6 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bright Stars | 0.9 | 1.4 | 4 | 8/14 | 7/14 |
| Vipers | 1.6 | 0.7 | 7 | 7/15 | 7/15 |
Over the last 14 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 Bright Stars vs Vipers?
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