ASA vs Kabuscorp: result 0-0 and analysis
GirabolaRegular Season - 24Kick-off on September 15, 2012 at 03:00 PM (UTC)Estádio Cidade Universitária, Luanda
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What was the result of ASA vs Kabuscorp?
ASA and Kabuscorp drew 0-0 on September 15, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, ASA have 7 wins, 3 draws and 5 defeats; Kabuscorp have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 25, 2012 | Interclube(away) | 0-0 | Girabola |
| Aug 18, 2012 | Atlético do Namibe(home) | 0-3 | Girabola |
| Aug 11, 2012 | Académica do Soyo(away) | 0-1 | Girabola |
| Aug 4, 2012 | Sagrada Esperança(home) | 1-0 | Girabola |
| Jul 29, 2012 | Petro de Luanda(away) | 0-1 | Girabola |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 25, 2012 | Benfica Luanda(home) | 0-0 | Girabola |
| Aug 18, 2012 | Sporting de Cabinda(away) | 1-0 | Girabola |
| Aug 4, 2012 | Recreativo do Libolo(away) | 0-2 | Girabola |
| Jul 28, 2012 | Bravos do Maquis FC(home) | 4-1 | Girabola |
| Jul 22, 2012 | Recreativo da Caála(away) | 3-2 | Girabola |
What does the head-to-head say?
In the last meeting: 1 ASA win, 0 draws, 0 Kabuscorp wins.
| Date | Score | Competition |
|---|---|---|
| Apr 28, 2012 | Kabuscorp 0-2 ASA | Girabola |
How many goals should we expect?
ASA score 0.8 and concede 0.6 goals per match over their last 15; Kabuscorp score 1.5 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| ASA | 0.8 | 0.6 | 8 | 2/15 | 2/15 |
| Kabuscorp | 1.5 | 0.9 | 5 | 8/15 | 6/15 |
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 ASA vs Kabuscorp?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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