Imbabura vs Aucas: result 1-2 and analysis
Liga Pro Serie BRegular Season - 6Kick-off on March 24, 2013 at 07:00 PM (UTC)Estadio Olímpico de Ibarra, Ibarra
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What was the result of Imbabura vs Aucas?
Aucas won 1-2 on March 24, 2013.
Goalscorers
- 33′Leandro Javier Pantoja DiasImbabura
- 70′252679Aucas
- 76′176330Aucas
What is the recent form of both teams?
Over their last 15 matches in all competitions, Imbabura have 5 wins, 5 draws and 5 defeats; Aucas have 2, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 17, 2013 | Grecia(away) | 2-3 | Liga Pro Serie B |
| Mar 14, 2013 | CD Olmedo(home) | 2-0 | Liga Pro Serie B |
| Mar 9, 2013 | Mushuc Runa SC(away) | 1-2 | Liga Pro Serie B |
| Mar 2, 2013 | Deportivo Municipal(home) | 1-2 | Liga Pro Serie B |
| Feb 23, 2013 | Ferroviarios(away) | 2-2 | Liga Pro Serie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 17, 2013 | Tecnico Universitario(home) | 1-1 | Liga Pro Serie B |
| Mar 13, 2013 | Guayaquil City FC(away) | 1-3 | Liga Pro Serie B |
| Mar 10, 2013 | Deportivo Azogues(home) | 2-0 | Liga Pro Serie B |
| Mar 3, 2013 | CD Olmedo(home) | 1-0 | Liga Pro Serie B |
| Feb 23, 2013 | Grecia(away) | 0-2 | Liga Pro Serie B |
How many goals should we expect?
Imbabura score 1.3 and concede 1.3 goals per match over their last 15; Aucas score 1.0 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Imbabura | 1.3 | 1.3 | 6 | 9/15 | 7/15 |
| Aucas | 1.0 | 1.2 | 2 | 2/5 | 1/5 |
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 | Imbabura | 32 | 7 | 10 | 15 | 36 | 44 | 31 |
A question about Imbabura vs Aucas?
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