ASA vs Kabuscorp: result 0-1 and analysis
GirabolaRegular Season - 4Kick-off on March 16, 2013 at 03:00 PM (UTC)Estádio Cidade Universitária, Luanda
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What was the result of ASA vs Kabuscorp?
Kabuscorp won 0-1 on March 16, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, ASA have 2 wins, 6 draws and 7 defeats; Kabuscorp have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2013 | Progresso(away) | 0-0 | Girabola |
| Mar 6, 2013 | 1º de Maio(home) | 0-2 | Girabola |
| Mar 2, 2013 | Sagrada Esperança(away) | 2-2 | Girabola |
| Oct 27, 2012 | Recreativo do Libolo(away) | 0-1 | Girabola |
| Oct 4, 2012 | Bravos do Maquis FC(home) | 1-1 | Girabola |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 9, 2013 | Bravos do Maquis FC(home) | 4-1 | Girabola |
| Mar 6, 2013 | Porcelana(away) | 2-0 | Girabola |
| Mar 2, 2013 | Desportivo Huíla(home) | 3-1 | Girabola |
| Nov 4, 2012 | Nacional de Benguela(away) | 2-1 | Girabola |
| Oct 28, 2012 | Interclube(home) | 0-2 | Girabola |
What does the head-to-head say?
Across the last 2 meetings: 1 ASA win, 1 draw, 0 Kabuscorp wins.
| Date | Score | Competition |
|---|---|---|
| Sep 15, 2012 | ASA 0-0 Kabuscorp | Girabola |
| Apr 28, 2012 | Kabuscorp 0-2 ASA | Girabola |
How many goals should we expect?
ASA score 0.5 and concede 1.0 goals per match over their last 15; Kabuscorp score 1.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| ASA | 0.5 | 1.0 | 5 | 3/15 | 2/15 |
| Kabuscorp | 1.9 | 1.3 | 4 | 9/15 | 8/15 |
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?
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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