Castellón vs Badalona: result 3-1 and analysis
Primera División RFEF - Group 3Group 3 - 6Kick-off on September 29, 2019 at 04:00 PM (UTC)Nou Estadi Castalia, Castellón de la Plana
Full time
What was the result of Castellón vs Badalona?
Castellón won 3-1 on September 29, 2019.
Goalscorers
- 11′David CubillasCastellón
- 51′César DíazCastellón
- 60′Chema MorenoBadalona
- 78′César DíazCastellón
What is the recent form of both teams?
Over their last 7 matches in all competitions, Castellón have 3 wins, 3 draws and 1 defeats; Badalona have 0, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2019 | Espanyol II(away) | 0-0 | Primera División RFEF - Group 3 |
| Sep 15, 2019 | Olot(home) | 1-0 | Primera División RFEF - Group 3 |
| Sep 8, 2019 | La Nucía(away) | 1-1 | Primera División RFEF - Group 3 |
| Sep 1, 2019 | Valencia II(home) | 2-2 | Primera División RFEF - Group 3 |
| Aug 25, 2019 | Sabadell(away) | 2-0 | Primera División RFEF - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2019 | Lleida Esportiu(home) | 1-1 | Primera División RFEF - Group 3 |
| Sep 15, 2019 | Cornellà(away) | 0-1 | Primera División RFEF - Group 3 |
| 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 |
How many goals should we expect?
Castellón score 1.0 and concede 0.7 goals per match over their last 7; Badalona score 0.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Castellón | 1.0 | 0.7 | 4 | 2/7 | 1/7 |
| Badalona | 0.3 | 1.5 | 0 | 2/6 | 1/6 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 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