1º de Agosto vs ASA: result 2-0 and analysis
GirabolaRegular Season - 14Kick-off on May 29, 2013 at 02:30 PM (UTC)Estádio 11 de Novembro, Luanda
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What was the result of 1º de Agosto vs ASA?
1º de Agosto won 2-0 on May 29, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, 1º de Agosto have 9 wins, 2 draws and 4 defeats; ASA have 1, 5 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 25, 2013 | Bravos do Maquis FC(away) | 0-0 | Girabola |
| May 19, 2013 | Porcelana(home) | 2-0 | Girabola |
| May 11, 2013 | Desportivo Huíla(away) | 2-1 | Girabola |
| May 4, 2013 | Petro de Luanda(home) | 1-0 | Girabola |
| Apr 20, 2013 | Kabuscorp(home) | 0-1 | Girabola |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 25, 2013 | Benfica Luanda(home) | 0-0 | Girabola |
| May 19, 2013 | Recreativo da Caála(away) | 2-1 | Girabola |
| May 11, 2013 | Interclube(home) | 1-2 | Girabola |
| May 4, 2013 | Atlético do Namibe(home) | 0-1 | Girabola |
| Apr 27, 2013 | Bravos do Maquis FC(away) | 0-1 | Girabola |
What does the head-to-head say?
Across the last 2 meetings: 1 1º de Agosto win(s), 0 draw(s), 1 ASA win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 22, 2012 | ASA 0-1 1º de Agosto | Girabola |
| May 9, 2012 | 1º de Agosto 0-1 ASA | Girabola |
How many goals should we expect?
1º de Agosto score 1.3 and concede 0.6 goals per match over their last 15; ASA score 0.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| 1º de Agosto | 1.3 | 0.6 | 8 | 5/15 | 5/15 |
| ASA | 0.5 | 1.3 | 3 | 5/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 4 | 1º de Agosto | 1 | 1 | 0 | 0 | 1 | 0 | 3 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy