Vipers vs Proline: result 1-2 and analysis
Premier LeagueRegular Season - 21Kick-off on April 12, 2013 at 01:30 PM (UTC)St. Mary's Stadium, Kitende
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What was the result of Vipers vs Proline?
Proline won 1-2 on April 12, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vipers have 6 wins, 6 draws and 3 defeats; Proline have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2013 | Kira Young(home) | 0-0 | Premier League |
| Mar 26, 2013 | Simba(away) | 1-1 | Premier League |
| Mar 15, 2013 | Water(home) | 1-0 | Premier League |
| Mar 8, 2013 | Police(away) | 1-2 | Premier League |
| Mar 1, 2013 | KCCA(away) | 0-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2013 | KCCA(away) | 0-0 | Premier League |
| Apr 2, 2013 | SCVU(home) | 1-0 | Premier League |
| Mar 29, 2013 | Entebbe(home) | 0-0 | Premier League |
| Mar 15, 2013 | URA(home) | 0-5 | Premier League |
| Mar 12, 2013 | BUL(home) | 0-1 | Premier League |
What does the head-to-head say?
In the last meeting: 1 Vipers win, 0 draws, 0 Proline wins.
| Date | Score | Competition |
|---|---|---|
| Dec 17, 2012 | Proline 0-1 Vipers | Premier League |
How many goals should we expect?
Vipers score 0.9 and concede 0.5 goals per match over their last 15; Proline score 0.7 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vipers | 0.9 | 0.5 | 9 | 4/15 | 3/15 |
| Proline | 0.7 | 1.2 | 4 | 7/15 | 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 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