Deportivo Cuenca vs Gualaceo SC: result 2-1 and analysis
Liga Pro1st Round - 3Kick-off on March 8, 2022 at 12:00 AM (UTC)Estadio Alejandro Serrano Aguilar Banco del Austro, Cuenca
Full time
What was the result of Deportivo Cuenca vs Gualaceo SC?
Deportivo Cuenca won 2-1 on March 8, 2022.
Goalscorers
- 20′Jalmar Johan Almeida MárquezDeportivo Cuenca
- 40′J. VergésGualaceo SC
- 81′Raúl Oscar BecerraDeportivo Cuenca (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Deportivo Cuenca have 5 wins, 4 draws and 6 defeats; Gualaceo SC have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 26, 2022 | LDU de Quito(home) | 2-0 | Liga Pro |
| Feb 20, 2022 | Guayaquil City FC(away) | 0-2 | Liga Pro |
| Nov 28, 2021 | Independiente del Valle(home) | 1-1 | Liga Pro |
| Nov 23, 2021 | Tecnico Universitario(away) | 1-3 | Liga Pro |
| Nov 5, 2021 | Aucas(home) | 2-1 | Liga Pro |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 27, 2022 | Cumbayá(home) | 0-1 | Liga Pro |
| Feb 19, 2022 | LDU de Quito(away) | 0-1 | Liga Pro |
| Oct 13, 2021 | Puerto Quito(home) | 1-0 | Liga Pro Serie B |
| Oct 7, 2021 | El Nacional(away) | 2-4 | Liga Pro Serie B |
| Sep 29, 2021 | LDU Portoviejo(home) | 1-0 | Liga Pro Serie B |
How many goals should we expect?
Deportivo Cuenca score 1.7 and concede 1.5 goals per match over their last 15; Gualaceo SC score 1.1 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Deportivo Cuenca | 1.7 | 1.5 | 3 | 10/15 | 8/15 |
| Gualaceo SC | 1.1 | 0.8 | 7 | 5/15 | 3/15 |
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 | Deportivo Cuenca | 26 | 9 | 5 | 12 | 22 | 32 | 32 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy