Covadonga vs Condal: result 4-2 and analysis
Tercera División RFEF - Group 2Group 2 - 5Kick-off on September 22, 2019 at 10:00 AM (UTC)Estadio Juan Antonio Alvarez Rabanal, Oviedo
Full time
What was the result of Covadonga vs Condal?
Covadonga won 4-2 on September 22, 2019.
Goalscorers
- 11′Jaime Álvarez DíazCovadonga
- 18′Jaime Álvarez DíazCovadonga
- 21′Edu FontCovadonga
- 62′SergioCondal
- 79′Javi ÁlvarezCondal
- 90′Edu FontCovadonga
What is the recent form of both teams?
Over their last 4 matches in all competitions, Covadonga have 2 wins, 2 draws and 0 defeats; Condal have 1, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2019 | Colunga(home) | 6-0 | Tercera División RFEF - Group 2 |
| Sep 7, 2019 | Llanes(away) | 3-2 | Tercera División RFEF - Group 2 |
| Sep 1, 2019 | Gijón Industrial(home) | 1-1 | Tercera División RFEF - Group 2 |
| Aug 23, 2019 | Real Avilés(away) | 1-1 | Tercera División RFEF - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2019 | Llanes(home) | 0-0 | Tercera División RFEF - Group 2 |
| Sep 9, 2019 | Gijón Industrial(away) | 3-1 | Tercera División RFEF - Group 2 |
| Sep 1, 2019 | Real Avilés(home) | 1-1 | Tercera División RFEF - Group 2 |
| Aug 25, 2019 | L'Entregu(away) | 0-1 | Tercera División RFEF - Group 2 |
How many goals should we expect?
Covadonga score 2.8 and concede 1.0 goals per match over their last 4; Condal score 1.0 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Covadonga | 2.8 | 1.0 | 1 | 3/4 | 2/4 |
| Condal | 1.0 | 0.8 | 1 | 2/4 | 1/4 |
Over the last 4 matches in all competitions.
Where do both teams sit in the table?
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Covadonga | 34 | 25 | 5 | 4 | 88 | 24 | 80 |
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