Manresa vs Banyoles: result 2-1 and analysis
Tercera División RFEF - Group 5Group 5 - 15Kick-off on December 1, 2019 at 11:00 AM (UTC)Estadio El Congost, Manresa
Full time
What was the result of Manresa vs Banyoles?
Manresa won 2-1 on December 1, 2019.
Goalscorers
- 49′Adriá CasanovaBanyoles
- 74′Walter Fernández BalufoManresa (pen.)
- 83′Dani RuizManresa
What is the recent form of both teams?
Over their last 14 matches in all competitions, Manresa have 5 wins, 3 draws and 6 defeats; Banyoles have 6, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2019 | Sant Andreu(away) | 0-2 | Tercera División RFEF - Group 5 |
| Nov 17, 2019 | L'Hospitalet(home) | 0-1 | Tercera División RFEF - Group 5 |
| Nov 10, 2019 | Vilafranca(home) | 0-0 | Tercera División RFEF - Group 5 |
| Nov 3, 2019 | San Cristóbal(away) | 4-1 | Tercera División RFEF - Group 5 |
| Oct 27, 2019 | Peralada(home) | 1-1 | Tercera División RFEF - Group 5 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2019 | San Cristóbal(home) | 1-0 | Tercera División RFEF - Group 5 |
| Nov 17, 2019 | Peralada(away) | 0-1 | Tercera División RFEF - Group 5 |
| Nov 10, 2019 | Igualada(home) | 1-0 | Tercera División RFEF - Group 5 |
| Nov 3, 2019 | Pobla Mafumet(away) | 0-0 | Tercera División RFEF - Group 5 |
| Oct 27, 2019 | Reus(home) | 3-0 | Tercera División RFEF - Group 5 |
How many goals should we expect?
Manresa score 1.2 and concede 1.0 goals per match over their last 14; Banyoles score 1.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Manresa | 1.2 | 1.0 | 5 | 4/14 | 5/14 |
| Banyoles | 1.1 | 0.9 | 6 | 4/14 | 5/14 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Manresa | 34 | 19 | 9 | 6 | 55 | 32 | 66 |
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