Kabuscorp vs Nacional de Benguela: result 2-1 and analysis
GirabolaRegular Season - 15Kick-off on June 30, 2012 at 02:00 PM (UTC)Estádio Cidade Universitária, Luanda
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What was the result of Kabuscorp vs Nacional de Benguela?
Kabuscorp won 2-1 on June 30, 2012.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Kabuscorp have 6 wins, 3 draws and 4 defeats; Nacional de Benguela have 1, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 22, 2012 | Interclube(away) | 1-1 | Girabola |
| Jun 16, 2012 | Atlético do Namibe(home) | 2-0 | Girabola |
| May 19, 2012 | Académica do Soyo(away) | 1-1 | Girabola |
| May 9, 2012 | Sagrada Esperança(home) | 3-2 | Girabola |
| May 6, 2012 | Petro de Luanda(away) | 1-1 | Girabola |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 23, 2012 | Sporting de Cabinda(away) | 0-2 | Girabola |
| Jun 16, 2012 | Interclube(home) | 1-3 | Girabola |
| May 9, 2012 | Atlético do Namibe(home) | 2-2 | Girabola |
| May 5, 2012 | Recreativo do Libolo(away) | 1-6 | Girabola |
| Apr 28, 2012 | Académica do Soyo(home) | 3-2 | Girabola |
How many goals should we expect?
Kabuscorp score 1.4 and concede 0.9 goals per match over their last 13; Nacional de Benguela score 1.0 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kabuscorp | 1.4 | 0.9 | 4 | 6/13 | 4/13 |
| Nacional de Benguela | 1.0 | 2.3 | 1 | 8/13 | 7/13 |
Over the last 13 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 Nacional de Benguela?
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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