Interclube vs Petro de Luanda: result 1-0 and analysis
GirabolaRegular Season - 9Kick-off on April 25, 2012 at 03:00 PM (UTC)Estádio Joaquim Dinis, Luanda
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What was the result of Interclube vs Petro de Luanda?
Interclube won 1-0 on April 25, 2012.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Interclube have 0 wins, 4 draws and 2 defeats; Petro de Luanda have 6, 1 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2012 | ASA(away) | 1-3 | Girabola |
| Apr 14, 2012 | Benfica Luanda(home) | 1-2 | Girabola |
| Apr 4, 2012 | Sporting de Cabinda(away) | 1-1 | Girabola |
| Mar 17, 2012 | Bravos do Maquis FC(home) | 1-1 | Girabola |
| Mar 11, 2012 | Recreativo da Caála(away) | 1-1 | Girabola |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 22, 2012 | Atlético do Namibe(home) | 3-0 | Girabola |
| Apr 14, 2012 | Académica do Soyo(away) | 2-0 | Girabola |
| Apr 8, 2012 | Sagrada Esperança(home) | 2-1 | Girabola |
| Mar 31, 2012 | Nacional de Benguela(away) | 4-3 | Girabola |
| Mar 24, 2012 | ASA(away) | 0-0 | Girabola |
How many goals should we expect?
Interclube score 1.0 and concede 1.5 goals per match over their last 6; Petro de Luanda score 2.4 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Interclube | 1.0 | 1.5 | 0 | 6/6 | 2/6 |
| Petro de Luanda | 2.4 | 0.9 | 4 | 3/7 | 5/7 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
Interclube sit 5th in Girabola (10 points from 6 matches) and Petro de Luanda sit 2nd (14 points from 6 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Petro de Luanda | 6 | 4 | 2 | 0 | 7 | 0 | 14 |
| 5 | Interclube | 6 | 3 | 1 | 2 | 7 | 5 | 10 |
A question about Interclube vs Petro de Luanda?
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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