Kabuscorp vs Porcelana: result 2-0 and analysis
GirabolaRegular Season - 17Kick-off on July 20, 2013 at 04:00 PM (UTC)Estádio Municipal dos Coqueiros, Luanda
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What was the result of Kabuscorp vs Porcelana?
Kabuscorp won 2-0 on July 20, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kabuscorp have 10 wins, 5 draws and 0 defeats; Porcelana have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 13, 2013 | Desportivo Huíla(away) | 0-0 | Girabola |
| Jul 7, 2013 | Petro de Luanda(away) | 0-0 | Girabola |
| May 25, 2013 | Atlético do Namibe(away) | 2-0 | Girabola |
| May 19, 2013 | Progresso(away) | 2-0 | Girabola |
| May 11, 2013 | 1º de Maio(home) | 1-1 | Girabola |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 13, 2013 | Progresso(home) | 0-1 | Girabola |
| Jul 6, 2013 | 1º de Maio(home) | 2-1 | Girabola |
| Jun 2, 2013 | Sagrada Esperança(away) | 0-1 | Girabola |
| May 26, 2013 | Recreativo do Libolo(home) | 2-1 | Girabola |
| May 19, 2013 | 1º de Agosto(away) | 0-2 | Girabola |
What does the head-to-head say?
In the last meeting: 1 Kabuscorp win, 0 draws, 0 Porcelana wins.
| Date | Score | Competition |
|---|---|---|
| Mar 6, 2013 | Porcelana 0-2 Kabuscorp | Girabola |
Last archived meeting: Porcelana vs Kabuscorp on Mar 6, 2013
How many goals should we expect?
Kabuscorp score 1.3 and concede 0.3 goals per match over their last 15; Porcelana score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kabuscorp | 1.3 | 0.3 | 11 | 4/15 | 3/15 |
| Porcelana | 0.9 | 1.3 | 3 | 5/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 11 | Kabuscorp | 7 | 1 | 3 | 3 | 4 | 6 | 6 |
A question about Kabuscorp vs Porcelana?
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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