Badalona vs Vic: result 2-0 and analysis
Tercera División RFEF - Group 5Group 5 - 17Kick-off on January 11, 2026 at 04:00 PM (UTC)Estadi Municipal de Badalona, Badalona
Full time
What was the result of Badalona vs Vic?
Badalona won 2-0 on January 11, 2026.
Goalscorers
- 52′634721Badalona
- 69′364326Badalona
What is the recent form of both teams?
Over their last 15 matches in all competitions, Badalona have 7 wins, 7 draws and 1 defeat; Vic have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 4, 2026 | L'Hospitalet(away) | 0-0 | Tercera División RFEF - Group 5 |
| Dec 21, 2025 | Manresa(home) | 1-1 | Tercera División RFEF - Group 5 |
| Dec 14, 2025 | Europa II(away) | 1-0 | Tercera División RFEF - Group 5 |
| Dec 7, 2025 | Grama(home) | 2-2 | Tercera División RFEF - Group 5 |
| Nov 23, 2025 | Tona(away) | 0-0 | Tercera División RFEF - Group 5 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 4, 2026 | Montañesa(home) | 2-0 | Tercera División RFEF - Group 5 |
| Dec 20, 2025 | Cerdanyola del Vallès(away) | 1-1 | Tercera División RFEF - Group 5 |
| Dec 13, 2025 | Peralada(home) | 1-0 | Tercera División RFEF - Group 5 |
| Dec 6, 2025 | Can Vidalet(away) | 0-0 | Tercera División RFEF - Group 5 |
| Nov 23, 2025 | L'Hospitalet(away) | 0-2 | Tercera División RFEF - Group 5 |
How many goals should we expect?
Badalona score 1.2 and concede 0.6 goals per match over their last 15; Vic score 1.1 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Badalona | 1.2 | 0.6 | 8 | 7/15 | 4/15 |
| Vic | 1.1 | 1.6 | 3 | 10/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Badalona | 6 | 3 | 1 | 2 | 10 | 4 | 10 |
A question about Badalona vs Vic?
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