Vipers vs Aurum Roses: result 2-1 and analysis
Premier LeagueRegular Season - 21Kick-off on April 16, 2013 at 01:30 PM (UTC)St. Mary's Stadium, Kitende
Full time
What was the result of Vipers vs Aurum Roses?
Vipers won 2-1 on April 16, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vipers have 5 wins, 6 draws and 4 defeats; Aurum Roses have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 12, 2013 | Proline(home) | 1-2 | Premier League |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 5, 2013 | BUL(home) | 1-2 | Premier League |
| Mar 29, 2013 | URA(home) | 0-1 | Premier League |
| Mar 26, 2013 | Water(home) | 1-0 | Premier League |
| Mar 19, 2013 | Kira Young(home) | 0-1 | Premier League |
| Mar 8, 2013 | Simba(away) | 0-0 | Premier League |
What does the head-to-head say?
In the last meeting: 1 Vipers win, 0 draws, 0 Aurum Roses wins.
| Date | Score | Competition |
|---|---|---|
| Dec 20, 2012 | Aurum Roses 0-2 Vipers | Premier League |
Last archived meeting: Aurum Roses vs Vipers on Dec 20, 2012
How many goals should we expect?
Vipers score 0.9 and concede 0.7 goals per match over their last 15; Aurum Roses score 0.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vipers | 0.9 | 0.7 | 8 | 5/15 | 4/15 |
| Aurum Roses | 0.7 | 1.3 | 2 | 6/15 | 4/15 |
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 Aurum Roses?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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