Monastir vs Scafatese: result 1-2 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 Monastir vs Scafatese?
Scafatese won 1-2 on November 9, 2025.
Goalscorers
- 30′S. MolinaroScafatese
- 60′565972Monastir
- 65′S. ContehScafatese
What is the recent form of both teams?
Over their last 11 matches in all competitions, Monastir have 4 wins, 3 draws and 4 defeats; Scafatese have 10, 4 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2025 | Flaminia(home) | 2-2 | Serie D - Girone G |
| Oct 26, 2025 | Ischia(away) | 1-2 | Serie D - Girone G |
| Oct 19, 2025 | Atletico Lodigiani(home) | 0-0 | Serie D - Girone G |
| Oct 12, 2025 | Latte Dolce(away) | 2-1 | Serie D - Girone G |
| Oct 5, 2025 | Sarrabus Ogliastra(home) | 2-3 | Serie D - Girone G |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2025 | Latte Dolce(home) | 2-2 | Serie D - Girone G |
| Oct 26, 2025 | Flaminia(away) | 2-1 | Serie D - Girone G |
| Oct 19, 2025 | Valmontone(home) | 4-1 | Serie D - Girone G |
| Oct 12, 2025 | Atletico Lodigiani(away) | 2-1 | Serie D - Girone G |
| Oct 5, 2025 | Real Monterotondo(home) | 2-0 | Serie D - Girone G |
How many goals should we expect?
Monastir score 1.3 and concede 1.2 goals per match over their last 11; Scafatese score 1.9 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Monastir | 1.3 | 1.2 | 3 | 6/11 | 5/11 |
| Scafatese | 1.9 | 0.7 | 6 | 8/15 | 8/15 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Monastir | 6 | 4 | 1 | 1 | 17 | 9 | 13 |
A question about Monastir vs Scafatese?
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