Vipers vs Water: result 1-0 and analysis
Premier LeagueRegular Season - 18Kick-off on March 15, 2013 at 01:30 PM (UTC)St. Mary's Stadium, Kitende
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What was the result of Vipers vs Water?
Vipers won 1-0 on March 15, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vipers have 7 wins, 4 draws and 4 defeats; Water have 2, 2 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 8, 2013 | Police(away) | 1-2 | Premier League |
| Mar 1, 2013 | KCCA(away) | 0-1 | Premier League |
| Feb 26, 2013 | Victors(away) | 0-0 | Premier League |
| Feb 22, 2013 | SCVU(home) | 1-1 | Premier League |
| Feb 15, 2013 | Express(away) | 0-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 12, 2013 | Kira Young(away) | 0-1 | Premier League |
| Mar 1, 2013 | Simba(home) | 1-0 | Premier League |
| Feb 26, 2013 | Entebbe(home) | 2-0 | Premier League |
| Feb 22, 2013 | Express(home) | 0-0 | Premier League |
| Feb 19, 2013 | BUL(away) | 1-2 | Premier League |
What does the head-to-head say?
In the last meeting: 1 Vipers win, 0 draws, 0 Water wins.
| Date | Score | Competition |
|---|---|---|
| Nov 5, 2012 | Water 0-1 Vipers | Premier League |
How many goals should we expect?
Vipers score 1.0 and concede 0.6 goals per match over their last 15; Water score 0.6 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vipers | 1.0 | 0.6 | 9 | 4/15 | 4/15 |
| Water | 0.6 | 1.7 | 4 | 6/15 | 7/15 |
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 Water?
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