Badajoz vs Marbella: result 1-0 and analysis
Primera División RFEF - Group 4Group 4 - 14Kick-off on November 24, 2019 at 04:00 PM (UTC)Estadio Municipal Nuevo Vivero, Badajoz
Full time
What was the result of Badajoz vs Marbella?
Badajoz won 1-0 on November 24, 2019.
Goalscorers
- 47′Álex CorrederaBadajoz
What is the recent form of both teams?
Over their last 13 matches in all competitions, Badajoz have 6 wins, 4 draws and 3 defeats; Marbella have 6, 7 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2019 | Linense(away) | 0-1 | Primera División RFEF - Group 4 |
| Nov 9, 2019 | Sanluqueño(home) | 0-0 | Primera División RFEF - Group 4 |
| Nov 3, 2019 | Don Benito(away) | 4-1 | Primera División RFEF - Group 4 |
| Oct 27, 2019 | Mérida(home) | 1-1 | Primera División RFEF - Group 4 |
| Oct 20, 2019 | Ucam Murcia(away) | 0-1 | Primera División RFEF - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2019 | Yeclano(home) | 2-1 | Primera División RFEF - Group 4 |
| Nov 10, 2019 | Real Murcia(away) | 1-1 | Primera División RFEF - Group 4 |
| Nov 3, 2019 | Villarrubia(home) | 2-1 | Primera División RFEF - Group 4 |
| Oct 26, 2019 | Granada II(away) | 3-0 | Primera División RFEF - Group 4 |
| Oct 20, 2019 | Recreativo Huelva(home) | 2-1 | Primera División RFEF - Group 4 |
How many goals should we expect?
Badajoz score 1.3 and concede 0.8 goals per match over their last 13; Marbella score 1.5 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Badajoz | 1.3 | 0.8 | 5 | 6/13 | 4/13 |
| Marbella | 1.5 | 1.0 | 2 | 11/14 | 7/14 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
Badajoz sit 1st in Primera División RFEF - Group 4 (54 points from 24 matches) and Marbella sit 4th (34 points from 26 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Badajoz | 24 | 16 | 6 | 2 | 43 | 13 | 54 |
| 4 | Marbella | 26 | 9 | 7 | 10 | 31 | 27 | 34 |
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