Vilanova vs Grama: result 1-3 and analysis
Tercera División RFEF - Group 5Group 5 - 2Kick-off on September 13, 2025 at 04:00 PM (UTC)Estadi Associació dels Alumnes Obrers, Vilanova i la Geltrú
Full time
What was the result of Vilanova vs Grama?
Grama won 1-3 on September 13, 2025.
Goalscorers
- 25′599130Grama
- 36′566955Grama
- 44′627261Vilanova
- 89′566957Grama
What is the recent form of both teams?
Over their last 1 matches in all competitions, Vilanova have 0 wins, 1 draws and 0 defeats; Grama have 3, 8 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 6, 2025 | Tona(away) | 1-1 | Tercera División RFEF - Group 5 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 7, 2025 | L'Escala(home) | 0-1 | Tercera División RFEF - Group 5 |
| May 10, 2025 | Peralada(away) | 2-3 | Tercera División RFEF - Group 5 |
| May 4, 2025 | Mollerussa(home) | 2-2 | Tercera División RFEF - Group 5 |
| Apr 27, 2025 | L'Hospitalet(away) | 0-2 | Tercera División RFEF - Group 5 |
| Apr 18, 2025 | L'Escala(home) | 3-1 | Tercera División RFEF - Group 5 |
How many goals should we expect?
Vilanova score 1.0 and concede 1.0 goals per match over their last 1; Grama score 1.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vilanova | 1.0 | 1.0 | 0 | 1/1 | 0/1 |
| Grama | 1.5 | 1.3 | 3 | 10/15 | 9/15 |
Over the last 1 matches in all competitions.
Where do both teams sit in the table?
Vilanova sit 4th in Tercera División RFEF - Group 5 (56 points from 34 matches) and Grama sit 5th (54 points from 34 matches).
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Vilanova | 34 | 15 | 11 | 9 | 38 | 27 | 56 |
| 5 | Grama | 34 | 14 | 13 | 8 | 49 | 35 | 54 |
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