Valmontone vs Monastir: result 2-0 and analysis
Serie D - Girone GGroup G - 5Kick-off on September 28, 2025 at 02:00 PM (UTC)
Full time
What was the result of Valmontone vs Monastir?
Valmontone won 2-0 on September 28, 2025.
Goalscorers
- 12′552321Valmontone
- 90′619859Valmontone
What is the recent form of both teams?
Over their last 6 matches in all competitions, Valmontone have 2 wins, 4 draws and 0 defeats; Monastir have 3, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2025 | Latte Dolce(away) | 1-0 | Serie D - Girone G |
| Sep 21, 2025 | Flaminia(home) | 1-1 | Serie D - Girone G |
| Sep 14, 2025 | Olbia(away) | 1-1 | Serie D - Girone G |
| Sep 7, 2025 | Atletico Lodigiani(home) | 1-1 | Serie D - Girone G |
| Aug 31, 2025 | Flaminia(away) | 0-0 | Coppa Italia Serie D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2025 | Cassino(home) | 2-1 | Serie D - Girone G |
| Sep 20, 2025 | Real Monterotondo(away) | 0-1 | Serie D - Girone G |
| Sep 14, 2025 | Montespaccato(home) | 2-0 | Serie D - Girone G |
| Sep 7, 2025 | Budoni(away) | 2-0 | Serie D - Girone G |
| Aug 24, 2025 | Unipomezia(away) | 1-1 | Coppa Italia Serie D |
How many goals should we expect?
Valmontone score 1.2 and concede 0.5 goals per match over their last 6; Monastir score 1.4 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Valmontone | 1.2 | 0.5 | 3 | 3/6 | 1/6 |
| Monastir | 1.4 | 0.6 | 2 | 2/5 | 1/5 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Monastir | 6 | 4 | 1 | 1 | 17 | 9 | 13 |
A question about Valmontone vs Monastir?
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