Gualaceo SC vs Aucas: result 1-0 and analysis
Liga Pro Serie BRegular Season - 8Kick-off on April 16, 2017 at 09:00 PM (UTC)Estadio Municipal Jorge Andrade Cantos, Azogues
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What was the result of Gualaceo SC vs Aucas?
Gualaceo SC won 1-0 on April 16, 2017.
Goalscorers
- 27′M. BarrionuevoGualaceo SC
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gualaceo SC have 6 wins, 5 draws and 4 defeats; Aucas have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 12, 2017 | America de Quito(away) | 2-0 | Liga Pro Serie B |
| Apr 8, 2017 | LDU Loja(home) | 0-1 | Liga Pro Serie B |
| Apr 1, 2017 | LDU Portoviejo(away) | 0-1 | Liga Pro Serie B |
| Mar 26, 2017 | Santa Rita(home) | 2-1 | Liga Pro Serie B |
| Mar 18, 2017 | Mushuc Runa SC(away) | 2-2 | Liga Pro Serie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2017 | Imbabura(home) | 4-0 | Liga Pro Serie B |
| Apr 8, 2017 | Manta FC(away) | 1-1 | Liga Pro Serie B |
| Apr 1, 2017 | Deportivo Colon(home) | 2-0 | Liga Pro Serie B |
| Mar 26, 2017 | CD Olmedo(away) | 0-3 | Liga Pro Serie B |
| Mar 19, 2017 | Tecnico Universitario(home) | 1-2 | Liga Pro Serie B |
How many goals should we expect?
Gualaceo SC score 1.4 and concede 1.2 goals per match over their last 15; Aucas score 1.2 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gualaceo SC | 1.4 | 1.2 | 4 | 7/15 | 6/15 |
| Aucas | 1.2 | 1.5 | 2 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 7 | Gualaceo SC | 22 | 7 | 8 | 7 | 19 | 16 | 29 |
A question about Gualaceo SC 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