Revilla vs Noja: result 2-1 and analysis
Tercera División RFEF - Group 3Group 3 - 15Kick-off on December 20, 2025 at 05:00 PM (UTC)Estadio Municipal, Revilla de Camargo
Full time
What was the result of Revilla vs Noja?
Revilla won 2-1 on December 20, 2025.
Goalscorers
- 9′Pablo GoñiRevilla
- 33′630023Noja
- 68′630024Revilla
What is the recent form of both teams?
Over their last 15 matches in all competitions, Revilla have 5 wins, 4 draws and 6 defeats; Noja have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 14, 2025 | Castro(away) | 1-1 | Tercera División RFEF - Group 3 |
| Dec 6, 2025 | Cayón(home) | 2-2 | Tercera División RFEF - Group 3 |
| Nov 22, 2025 | Montañas Pas(away) | 3-1 | Tercera División RFEF - Group 3 |
| Nov 19, 2025 | Colindres(home) | 2-0 | Tercera División RFEF - Group 3 |
| Nov 16, 2025 | Escobedo(home) | 3-1 | Tercera División RFEF - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 13, 2025 | Guarnizo(home) | 0-1 | Tercera División RFEF - Group 3 |
| Dec 7, 2025 | Colindres(away) | 2-1 | Tercera División RFEF - Group 3 |
| Nov 23, 2025 | Selaya(home) | 1-0 | Tercera División RFEF - Group 3 |
| Nov 16, 2025 | Laredo(away) | 0-2 | Tercera División RFEF - Group 3 |
| Nov 8, 2025 | Bezana(home) | 0-1 | Tercera División RFEF - Group 3 |
How many goals should we expect?
Revilla score 1.4 and concede 1.7 goals per match over their last 15; Noja score 0.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Revilla | 1.4 | 1.7 | 3 | 7/15 | 9/15 |
| Noja | 0.5 | 1.3 | 4 | 5/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Revilla | 6 | 3 | 2 | 1 | 13 | 8 | 11 |
A question about Revilla vs Noja?
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