Petro de Luanda vs Kabuscorp: result 1-1 and analysis
GirabolaRegular Season - 10Kick-off on May 6, 2012 at 03:00 PM (UTC)Estádio 11 de Novembro, Luanda
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What was the result of Petro de Luanda vs Kabuscorp?
Petro de Luanda and Kabuscorp drew 1-1 on May 6, 2012.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Petro de Luanda have 6 wins, 1 draw and 1 defeat; Kabuscorp have 4, 0 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 25, 2012 | Interclube(away) | 0-1 | Girabola |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 28, 2012 | ASA(home) | 0-2 | Girabola |
| Apr 20, 2012 | Benfica Luanda(away) | 3-0 | Girabola |
| Apr 14, 2012 | Sporting de Cabinda(home) | 2-0 | Girabola |
| Mar 31, 2012 | Recreativo do Libolo(home) | 1-2 | Girabola |
| Mar 24, 2012 | Bravos do Maquis FC(away) | 1-0 | Girabola |
How many goals should we expect?
Petro de Luanda score 2.1 and concede 0.9 goals per match over their last 8; Kabuscorp score 1.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Petro de Luanda | 2.1 | 0.9 | 4 | 3/8 | 5/8 |
| Kabuscorp | 1.3 | 0.9 | 3 | 2/8 | 3/8 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
Petro de Luanda sit 2nd in Girabola (14 points from 6 matches) and Kabuscorp sit 11th (6 points from 7 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Petro de Luanda | 6 | 4 | 2 | 0 | 7 | 0 | 14 |
| 11 | Kabuscorp | 7 | 1 | 3 | 3 | 4 | 6 | 6 |
A question about Petro de Luanda vs Kabuscorp?
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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