Interclube vs ASA: result 0-0 and analysis
GirabolaRegular Season - 23Kick-off on August 25, 2012 at 04:00 PM (UTC)Estádio Joaquim Dinis, Luanda
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What was the result of Interclube vs ASA?
Interclube and ASA drew 0-0 on August 25, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Interclube have 9 wins, 3 draws and 3 defeats; ASA have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 22, 2012 | Benfica Luanda(away) | 0-1 | Girabola |
| Aug 11, 2012 | Sporting de Cabinda(home) | 2-1 | Girabola |
| Jul 28, 2012 | Recreativo do Libolo(home) | 0-1 | Girabola |
| Jul 21, 2012 | Bravos do Maquis FC(away) | 1-0 | Girabola |
| Jul 11, 2012 | Recreativo da Caála(home) | 3-0 | Girabola |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Jul 21, 2012 | Nacional de Benguela(home) | 2-0 | Girabola |
What does the head-to-head say?
In the last meeting: 0 Interclube wins, 0 draws, 1 ASA win.
| Date | Score | Competition |
|---|---|---|
| Apr 21, 2012 | ASA 3-1 Interclube | Girabola |
How many goals should we expect?
Interclube score 1.2 and concede 0.6 goals per match over their last 15; ASA score 0.9 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Interclube | 1.2 | 0.6 | 8 | 5/15 | 4/15 |
| ASA | 0.9 | 0.7 | 7 | 3/15 | 2/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Interclube | 6 | 3 | 1 | 2 | 7 | 5 | 10 |
A question about Interclube vs ASA?
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