Can Vidalet vs Grama: result 1-2 and analysis
Tercera División RFEF - Group 5Group 5 - 5Kick-off on October 5, 2025 at 10:00 AM (UTC)Camp Municipal El Molí, Esplugues de Llobregat
Full time
What was the result of Can Vidalet vs Grama?
Grama won 1-2 on October 5, 2025.
Goalscorers
- 18′561957Can Vidalet
- 22′566965Grama
- 75′566966Grama
What is the recent form of both teams?
Over their last 4 matches in all competitions, Can Vidalet have 1 win, 2 draws and 1 defeat; Grama have 4, 7 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2025 | Badalona(away) | 1-1 | Tercera División RFEF - Group 5 |
| Sep 21, 2025 | Tona(home) | 0-1 | Tercera División RFEF - Group 5 |
| Sep 14, 2025 | Montañesa(away) | 0-0 | Tercera División RFEF - Group 5 |
| Sep 6, 2025 | Lleida Esportiu(home) | 1-0 | Tercera División RFEF - Group 5 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2025 | Tona(away) | 3-1 | Tercera División RFEF - Group 5 |
| Sep 21, 2025 | Lleida Esportiu(home) | 0-0 | Tercera División RFEF - Group 5 |
| Sep 13, 2025 | Vilanova(away) | 3-1 | Tercera División RFEF - Group 5 |
| 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 |
How many goals should we expect?
Can Vidalet score 0.5 and concede 0.5 goals per match over their last 4; Grama score 1.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Can Vidalet | 0.5 | 0.5 | 2 | 1/4 | 0/4 |
| Grama | 1.7 | 1.3 | 4 | 9/15 | 10/15 |
Over the last 4 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Grama | 5 | 2 | 1 | 2 | 6 | 4 | 7 |
A question about Can Vidalet 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