Interclube vs Kabuscorp: result 1-1 and analysis
GirabolaRegular Season - 14Kick-off on June 22, 2012 at 04:00 PM (UTC)Estádio Joaquim Dinis, Luanda
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What was the result of Interclube vs Kabuscorp?
Interclube and Kabuscorp drew 1-1 on June 22, 2012.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Interclube have 4 wins, 6 draws and 2 defeats; Kabuscorp have 6, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 16, 2012 | Nacional de Benguela(away) | 3-1 | Girabola |
| May 23, 2012 | Recreativo do Libolo(away) | 0-0 | Girabola |
| May 19, 2012 | Atlético do Namibe(away) | 1-1 | Girabola |
| May 8, 2012 | Académica do Soyo(home) | 1-0 | Girabola |
| May 5, 2012 | Sagrada Esperança(away) | 1-0 | Girabola |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Apr 28, 2012 | ASA(home) | 0-2 | Girabola |
How many goals should we expect?
Interclube score 1.1 and concede 0.9 goals per match over their last 12; Kabuscorp score 1.4 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Interclube | 1.1 | 0.9 | 4 | 8/12 | 3/12 |
| Kabuscorp | 1.4 | 0.9 | 4 | 5/12 | 4/12 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
Interclube sit 5th in Girabola (10 points from 6 matches) and Kabuscorp sit 11th (6 points from 7 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Interclube | 6 | 3 | 1 | 2 | 7 | 5 | 10 |
| 11 | Kabuscorp | 7 | 1 | 3 | 3 | 4 | 6 | 6 |
A question about Interclube 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