Tuilla vs Condal: result 2-0 and analysis
Tercera División RFEF - Group 2Group 2 - 8Kick-off on October 13, 2019 at 03:00 PM (UTC)Estadio El Candín, Tuilla
Full time
What was the result of Tuilla vs Condal?
Tuilla won 2-0 on October 13, 2019.
Goalscorers
- 23′Borja RodríguezTuilla
- 46′Pablo FernándezTuilla
What is the recent form of both teams?
Over their last 7 matches in all competitions, Tuilla have 5 wins, 1 draws and 1 defeats; Condal have 1, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2019 | Covadonga(away) | 3-1 | Tercera División RFEF - Group 2 |
| Sep 29, 2019 | Llanes(home) | 2-1 | Tercera División RFEF - Group 2 |
| Sep 22, 2019 | Gijón Industrial(away) | 1-1 | Tercera División RFEF - Group 2 |
| Sep 15, 2019 | Real Avilés(home) | 1-0 | Tercera División RFEF - Group 2 |
| Sep 8, 2019 | L'Entregu(away) | 2-3 | Tercera División RFEF - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2019 | Caudal(home) | 1-1 | Tercera División RFEF - Group 2 |
| Sep 29, 2019 | Colunga(home) | 1-1 | Tercera División RFEF - Group 2 |
| Sep 22, 2019 | Covadonga(away) | 2-4 | Tercera División RFEF - Group 2 |
| 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 |
How many goals should we expect?
Tuilla score 2.3 and concede 1.3 goals per match over their last 7; Condal score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tuilla | 2.3 | 1.3 | 1 | 6/7 | 5/7 |
| Condal | 1.1 | 1.3 | 1 | 5/7 | 2/7 |
Over the last 7 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 |
|---|---|---|---|---|---|---|---|---|
| 17 | Tuilla | 34 | 7 | 6 | 21 | 31 | 60 | 27 |
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