Aurum Roses vs URA: result 0-1 and analysis
Premier LeagueRegular Season - 19Kick-off on March 29, 2013 at 01:30 PM (UTC)
Full time
What was the result of Aurum Roses vs URA?
URA won 0-1 on March 29, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Aurum Roses have 4 wins, 3 draws and 8 defeats; URA have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Mar 5, 2013 | Proline(home) | 2-1 | Premier League |
| Feb 19, 2013 | Victors(home) | 1-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 26, 2013 | Express(home) | 2-1 | Premier League |
| Mar 15, 2013 | Proline(away) | 5-0 | Premier League |
| Mar 8, 2013 | Masaka LC(home) | 3-0 | Premier League |
| Feb 22, 2013 | Entebbe(away) | 1-1 | Premier League |
| Feb 15, 2013 | Simba(away) | 3-0 | Premier League |
What does the head-to-head say?
In the last meeting: 0 Aurum Roses wins, 0 draws, 1 URA win.
| Date | Score | Competition |
|---|---|---|
| Nov 15, 2012 | URA 6-1 Aurum Roses | Premier League |
How many goals should we expect?
Aurum Roses score 0.9 and concede 1.5 goals per match over their last 15; URA score 1.9 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Aurum Roses | 0.9 | 1.5 | 2 | 7/15 | 5/15 |
| URA | 1.9 | 0.7 | 7 | 5/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 15 | URA | 5 | 1 | 1 | 3 | 3 | 7 | 4 |
A question about Aurum Roses vs URA?
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