Cornellà vs Sabadell: result 2-0 and analysis
Primera División RFEF - Group 3Group 3 - 16Kick-off on December 7, 2019 at 07:00 PM (UTC)Campo Nuevo Municipal de Cornella, Cornella de Llobregat
Full time
What was the result of Cornellà vs Sabadell?
Cornellà won 2-0 on December 7, 2019.
Goalscorers
- 71′Leo RamírezCornellà (pen.)
- 80′Leo RamírezCornellà
What is the recent form of both teams?
Over their last 15 matches in all competitions, Cornellà have 5 wins, 6 draws and 4 defeats; Sabadell have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 1, 2019 | Ebro(away) | 1-1 | Primera División RFEF - Group 3 |
| Nov 24, 2019 | FC Andorra(home) | 2-0 | Primera División RFEF - Group 3 |
| Nov 17, 2019 | Barcelona B(away) | 3-3 | Primera División RFEF - Group 3 |
| Nov 10, 2019 | Llagostera(home) | 2-1 | Primera División RFEF - Group 3 |
| Nov 3, 2019 | Orihuela(away) | 2-1 | Primera División RFEF - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 30, 2019 | Ejea(home) | 2-1 | Primera División RFEF - Group 3 |
| Nov 24, 2019 | Ebro(away) | 1-1 | Primera División RFEF - Group 3 |
| Nov 17, 2019 | Gimnastic(home) | 2-0 | Primera División RFEF - Group 3 |
| Nov 9, 2019 | FC Andorra(away) | 2-2 | Primera División RFEF - Group 3 |
| Nov 3, 2019 | Badalona(home) | 1-0 | Primera División RFEF - Group 3 |
How many goals should we expect?
Cornellà score 1.4 and concede 1.3 goals per match over their last 15; Sabadell score 1.3 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cornellà | 1.4 | 1.3 | 2 | 11/15 | 8/15 |
| Sabadell | 1.3 | 0.7 | 6 | 7/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Cornellà | 20 | 8 | 5 | 7 | 27 | 25 | 29 |
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