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′A. PadilloGrama
What is the recent form of both teams?
In their last match in all competitions, Vilanova have 0 wins, 1 draw 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 in their last match; 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 match in all competitions.
Where do both teams sit in the table?
Vilanova sit 5th in Tercera División RFEF - Group 5 (8 points from 4 matches) and Grama sit 9th (7 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Vilanova | 4 | 2 | 2 | 0 | 7 | 5 | 8 |
| 9 | Grama | 5 | 2 | 1 | 2 | 6 | 4 | 7 |
A question about Vilanova vs Grama?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy