Granollers vs Pobla Mafumet: result 4-2 and analysis
Tercera División RFEF - Group 5Group 5 - 14Kick-off on November 24, 2019 at 11:00 AM (UTC)Campo Municipal Carrer Girona, Granollers
Full time
What was the result of Granollers vs Pobla Mafumet?
Granollers won 4-2 on November 24, 2019.
Goalscorers
- 25′Albert RuizGranollers
- 28′Diego GarzónGranollers
- 53′Óscar SanzPobla Mafumet
- 69′Diego GarzónGranollers
- 77′Oriol MolinsGranollers
- 85′Bernat GuiuPobla Mafumet (pen.)
What is the recent form of both teams?
Over their last 13 matches in all competitions, Granollers have 7 wins, 3 draws and 3 defeats; Pobla Mafumet have 8, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 16, 2019 | Reus(away) | 3-0 | Tercera División RFEF - Group 5 |
| Nov 10, 2019 | Castelldefels(home) | 4-1 | Tercera División RFEF - Group 5 |
| Nov 3, 2019 | Horta(away) | 2-3 | Tercera División RFEF - Group 5 |
| Oct 27, 2019 | Santfeliuenc(home) | 4-2 | Tercera División RFEF - Group 5 |
| Oct 20, 2019 | Sants(away) | 3-0 | Tercera División RFEF - Group 5 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2019 | Terrassa(home) | 2-2 | Tercera División RFEF - Group 5 |
| Nov 10, 2019 | Europa Fc(away) | 0-3 | Tercera División RFEF - Group 5 |
| Nov 3, 2019 | Banyoles(home) | 0-0 | Tercera División RFEF - Group 5 |
| Oct 27, 2019 | Sant Andreu(away) | 0-1 | Tercera División RFEF - Group 5 |
| Oct 20, 2019 | L'Hospitalet(home) | 1-0 | Tercera División RFEF - Group 5 |
How many goals should we expect?
Granollers score 1.9 and concede 0.9 goals per match over their last 13; Pobla Mafumet score 1.4 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Granollers | 1.9 | 0.9 | 5 | 6/13 | 7/13 |
| Pobla Mafumet | 1.4 | 0.7 | 8 | 3/13 | 6/13 |
Over the last 13 matches in all competitions.
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