Cornellà vs Badalona: result 1-0 and analysis
Primera División RFEF - Group 3Group 3 - 4Kick-off on September 15, 2019 at 06:00 PM (UTC)Campo Nuevo Municipal de Cornella, Cornella de Llobregat
Full time
What was the result of Cornellà vs Badalona?
Cornellà won 1-0 on September 15, 2019.
Goalscorers
- 38′Pablo FernándezCornellà
What is the recent form of both teams?
Over their last 4 matches in all competitions, Cornellà have 0 wins, 3 draws and 1 defeats; Badalona have 0, 0 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2019 | Espanyol II(away) | 2-2 | Primera División RFEF - Group 3 |
| Aug 31, 2019 | Olot(home) | 1-1 | Primera División RFEF - Group 3 |
| Aug 25, 2019 | La Nucía(away) | 0-1 | Primera División RFEF - Group 3 |
| Sep 5, 2018 | Sant Andreu(home) | 2-2 | Copa del Rey |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2019 | Ebro(home) | 0-1 | Primera División RFEF - Group 3 |
| Sep 1, 2019 | FC Andorra(away) | 0-2 | Primera División RFEF - Group 3 |
| Aug 25, 2019 | Barcelona B(home) | 0-2 | Primera División RFEF - Group 3 |
| Sep 12, 2018 | Villanovense(away) | 1-2 | Copa del Rey |
How many goals should we expect?
Cornellà score 1.3 and concede 1.5 goals per match over their last 4; Badalona score 0.3 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cornellà | 1.3 | 1.5 | 0 | 3/4 | 2/4 |
| Badalona | 0.3 | 1.8 | 0 | 1/4 | 1/4 |
Over the last 4 matches in all competitions.
Where do both teams sit in the table?
Cornellà sit 5th in Primera División RFEF - Group 3 (29 points from 20 matches) and Badalona sit 6th (28 points from 20 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Cornellà | 20 | 8 | 5 | 7 | 27 | 25 | 29 |
| 6 | Badalona | 20 | 7 | 7 | 6 | 16 | 16 | 28 |
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