KCCA vs Aurum Roses: result 3-1 and analysis
Premier LeagueRegular Season - 23Kick-off on May 3, 2013 at 01:30 PM (UTC)MTN Omondi Stadium, Kampala
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What was the result of KCCA vs Aurum Roses?
KCCA won 3-1 on May 3, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, KCCA have 8 wins, 7 draws and 0 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 30, 2013 | Water(home) | 4-0 | Premier League |
| Apr 19, 2013 | Kira Young(away) | 1-1 | Premier League |
| Apr 16, 2013 | Simba(away) | 3-0 | Premier League |
| Apr 9, 2013 | Proline(home) | 0-0 | Premier League |
| Apr 2, 2013 | Police(away) | 1-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 26, 2013 | Masaka LC(away) | 0-4 | Premier League |
| Apr 23, 2013 | SCVU(away) | 0-2 | Premier League |
| Apr 19, 2013 | Entebbe(home) | 1-2 | Premier League |
| Apr 16, 2013 | Vipers(away) | 1-2 | Premier League |
| Apr 5, 2013 | BUL(home) | 1-2 | Premier League |
What does the head-to-head say?
In the last meeting: 1 KCCA win, 0 draws, 0 Aurum Roses wins.
| Date | Score | Competition |
|---|---|---|
| Jan 10, 2013 | Aurum Roses 0-1 KCCA | Premier League |
How many goals should we expect?
KCCA score 1.5 and concede 0.3 goals per match over their last 15; Aurum Roses score 0.7 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KCCA | 1.5 | 0.3 | 11 | 4/15 | 4/15 |
| Aurum Roses | 0.7 | 1.4 | 2 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | KCCA | 6 | 3 | 1 | 2 | 4 | 4 | 10 |
A question about KCCA vs Aurum Roses?
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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