Sabadell vs Badalona: result 1-0 and analysis
Primera División RFEF - Group 3Group 3 - 11Kick-off on November 3, 2019 at 04:00 PM (UTC)Estadi de la Nova Creu Alta, Sabadell
Full time
What was the result of Sabadell vs Badalona?
Sabadell won 1-0 on November 3, 2019.
Goalscorers
- 60′Aitor PascualSabadell
What is the recent form of both teams?
Over their last 10 matches in all competitions, Sabadell have 5 wins, 3 draws and 2 defeats; Badalona have 1, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | Barcelona B(away) | 0-1 | Primera División RFEF - Group 3 |
| Oct 20, 2019 | Espanyol II(home) | 3-1 | Primera División RFEF - Group 3 |
| Oct 12, 2019 | Llagostera(away) | 1-0 | Primera División RFEF - Group 3 |
| Oct 6, 2019 | Olot(home) | 1-1 | Primera División RFEF - Group 3 |
| Sep 29, 2019 | Orihuela(away) | 1-1 | Primera División RFEF - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | Espanyol II(away) | 2-1 | Primera División RFEF - Group 3 |
| Oct 20, 2019 | Olot(home) | 0-0 | Primera División RFEF - Group 3 |
| Oct 13, 2019 | La Nucía(away) | 1-1 | Primera División RFEF - Group 3 |
| Oct 6, 2019 | Valencia II(home) | 1-2 | Primera División RFEF - Group 3 |
| Sep 29, 2019 | Castellón(away) | 1-3 | Primera División RFEF - Group 3 |
How many goals should we expect?
Sabadell score 1.1 and concede 0.7 goals per match over their last 10; Badalona score 0.6 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sabadell | 1.1 | 0.7 | 4 | 4/10 | 2/10 |
| Badalona | 0.6 | 1.5 | 1 | 6/11 | 4/11 |
Over the last 10 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