Valenzana vs Vado: result 1-3 and analysis
Serie D - Girone AGroup A - 11Kick-off on November 9, 2025 at 01:30 PM (UTC)Stadio Comunale
Full time
What was the result of Valenzana vs Vado?
Vado won 1-3 on November 9, 2025.
Goalscorers
- 6′N. CicconeVado
- 22′614144Valenzana
- 42′S. RaffiniVado (pen.)
- 90′578742Vado
What is the recent form of both teams?
Over their last 11 matches in all competitions, Valenzana have 4 wins, 4 draws and 3 defeats; Vado have 11, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2025 | Sestri Levante(away) | 1-1 | Serie D - Girone A |
| Oct 26, 2025 | Club Milano(home) | 2-1 | Serie D - Girone A |
| Oct 19, 2025 | Saluzzo(away) | 1-0 | Serie D - Girone A |
| Oct 12, 2025 | Imperia(home) | 2-1 | Serie D - Girone A |
| Oct 4, 2025 | Celle Varazze(away) | 1-1 | Serie D - Girone A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2025 | Ligorna(away) | 0-1 | Serie D - Girone A |
| Oct 26, 2025 | Città di Varese(home) | 3-1 | Serie D - Girone A |
| Oct 22, 2025 | Pistoiese(away) | 0-3 | Coppa Italia Serie D |
| Oct 19, 2025 | Sestri Levante(away) | 1-0 | Serie D - Girone A |
| Oct 12, 2025 | Club Milano(home) | 2-0 | Serie D - Girone A |
How many goals should we expect?
Valenzana score 1.1 and concede 1.1 goals per match over their last 11; Vado score 1.6 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Valenzana | 1.1 | 1.1 | 1 | 8/11 | 4/11 |
| Vado | 1.6 | 0.7 | 8 | 4/15 | 5/15 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 17 | Valenzana | 6 | 1 | 1 | 4 | 7 | 10 | 4 |
A question about Valenzana vs Vado?
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