Torrent vs Cornellà: result 0-1 and analysis
Segunda División RFEF - Group 3Group 3 - 16Kick-off on December 15, 2024 at 04:00 PM (UTC)Estadio San Gregorio, Torrent
Full time
What was the result of Torrent vs Cornellà?
Cornellà won 0-1 on December 15, 2024.
Goalscorers
- 90′Juan DuránCornellà
What is the recent form of both teams?
Over their last 15 matches in all competitions, Torrent have 5 wins, 6 draws and 4 defeats; Cornellà have 2, 6 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 11, 2024 | Espanyol II(home) | 1-2 | Segunda División RFEF - Group 3 |
| Dec 8, 2024 | Lleida Esportiu(away) | 1-1 | Segunda División RFEF - Group 3 |
| Nov 30, 2024 | Ibiza Islas Pitiusas(home) | 4-2 | Segunda División RFEF - Group 3 |
| Nov 24, 2024 | Andratx(away) | 1-0 | Segunda División RFEF - Group 3 |
| Nov 20, 2024 | Valencia II(away) | 0-0 | Segunda División RFEF - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 8, 2024 | Valencia II(home) | 1-1 | Segunda División RFEF - Group 3 |
| Dec 1, 2024 | Badalona(away) | 3-2 | Segunda División RFEF - Group 3 |
| Nov 24, 2024 | Terrassa(home) | 0-1 | Segunda División RFEF - Group 3 |
| Nov 17, 2024 | Peña Deportiva(away) | 1-4 | Segunda División RFEF - Group 3 |
| Nov 10, 2024 | Europa Fc(home) | 2-3 | Segunda División RFEF - Group 3 |
How many goals should we expect?
Torrent score 1.2 and concede 1.0 goals per match over their last 15; Cornellà score 1.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Torrent | 1.2 | 1.0 | 6 | 7/15 | 5/15 |
| Cornellà | 1.0 | 1.3 | 2 | 9/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 17 | Torrent | 34 | 7 | 9 | 18 | 36 | 53 | 30 |
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