Valmontone vs Nocerina: result 0-1 and analysis
Serie D - Girone GGroup G - 11Kick-off on November 9, 2025 at 01:30 PM (UTC)
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What was the result of Valmontone vs Nocerina?
Nocerina won 0-1 on November 9, 2025.
Goalscorers
- 11′614186Nocerina
What is the recent form of both teams?
Over their last 14 matches in all competitions, Valmontone have 8 wins, 4 draws and 2 defeats; Nocerina have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2025 | Anzio(away) | 3-0 | Serie D - Girone G |
| Oct 26, 2025 | Albalonga(home) | 3-0 | Serie D - Girone G |
| Oct 22, 2025 | Orvietana Calcio(home) | 1-0 | Coppa Italia Serie D |
| Oct 19, 2025 | Scafatese(away) | 1-4 | Serie D - Girone G |
| Oct 12, 2025 | Trastevere(home) | 1-3 | Serie D - Girone G |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2025 | Cassino(home) | 2-0 | Serie D - Girone G |
| Oct 26, 2025 | Real Monterotondo(away) | 3-1 | Serie D - Girone G |
| Oct 22, 2025 | Reggina(away) | 3-2 | Coppa Italia Serie D |
| Oct 19, 2025 | Montespaccato(home) | 1-1 | Serie D - Girone G |
| Oct 12, 2025 | Budoni(away) | 2-3 | Serie D - Girone G |
How many goals should we expect?
Valmontone score 1.5 and concede 0.7 goals per match over their last 14; Nocerina score 2.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Valmontone | 1.5 | 0.7 | 9 | 5/14 | 5/14 |
| Nocerina | 2.1 | 1.3 | 3 | 12/15 | 9/15 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
Valmontone sit 7th in Serie D - Girone G (48 points from 34 matches) and Nocerina sit 8th (47 points from 34 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Valmontone | 34 | 14 | 6 | 14 | 49 | 50 | 48 |
| 8 | Nocerina | 34 | 11 | 14 | 9 | 36 | 33 | 47 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy