Interclube vs Porcelana: result 3-0 and analysis
GirabolaRegular Season - 24Kick-off on September 21, 2013 at 04:00 PM (UTC)Estádio Joaquim Dinis, Luanda
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What was the result of Interclube vs Porcelana?
Interclube won 3-0 on September 21, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Interclube have 4 wins, 9 draws and 2 defeats; Porcelana have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2013 | Desportivo Huíla(away) | 2-2 | Girabola |
| Sep 11, 2013 | Petro de Luanda(home) | 1-1 | Girabola |
| Aug 10, 2013 | Kabuscorp(home) | 1-2 | Girabola |
| Aug 4, 2013 | Progresso(away) | 2-1 | Girabola |
| Jul 27, 2013 | 1º de Maio(home) | 3-0 | Girabola |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2013 | ASA(home) | 0-1 | Girabola |
| Sep 11, 2013 | Bravos do Maquis FC(away) | 0-4 | Girabola |
| Aug 18, 2013 | Atlético do Namibe(away) | 1-1 | Girabola |
| Aug 10, 2013 | Desportivo Huíla(home) | 1-1 | Girabola |
| Aug 4, 2013 | Petro de Luanda(away) | 0-2 | Girabola |
What does the head-to-head say?
In the last meeting: 0 Interclube wins, 1 draw, 0 Porcelana wins.
| Date | Score | Competition |
|---|---|---|
| Apr 27, 2013 | Porcelana 1-1 Interclube | Girabola |
Last archived meeting: Porcelana vs Interclube on Apr 27, 2013
How many goals should we expect?
Interclube score 1.4 and concede 1.2 goals per match over their last 15; Porcelana score 0.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Interclube | 1.4 | 1.2 | 1 | 13/15 | 6/15 |
| Porcelana | 0.7 | 1.5 | 1 | 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 |
|---|---|---|---|---|---|---|---|---|
| 5 | Interclube | 6 | 3 | 1 | 2 | 7 | 5 | 10 |
A question about Interclube 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