Biellese vs Imperia: result 1-0 and analysis
Serie D - Girone AGroup A - 11Kick-off on November 9, 2025 at 02:00 PM (UTC)
Full time
What was the result of Biellese vs Imperia?
Biellese won 1-0 on November 9, 2025.
Goalscorers
- 57′578760Biellese
What is the recent form of both teams?
Over their last 12 matches in all competitions, Biellese have 5 wins, 3 draws and 4 defeats; Imperia 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 |
|---|---|---|---|
| Nov 2, 2025 | Celle Varazze(away) | 1-3 | Serie D - Girone A |
| Oct 26, 2025 | Derthona(home) | 0-2 | Serie D - Girone A |
| Oct 19, 2025 | Asti(away) | 2-1 | Serie D - Girone A |
| Oct 12, 2025 | Sanremese(home) | 0-0 | Serie D - Girone A |
| Oct 5, 2025 | Città di Varese(away) | 1-0 | Serie D - Girone A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2025 | Lavagnese(home) | 1-2 | Serie D - Girone A |
| Oct 26, 2025 | Chisola(away) | 1-0 | Serie D - Girone A |
| Oct 19, 2025 | Gozzano(home) | 3-1 | Serie D - Girone A |
| Oct 12, 2025 | Valenzana(away) | 1-2 | Serie D - Girone A |
| Oct 5, 2025 | Ligorna(home) | 2-2 | Serie D - Girone A |
How many goals should we expect?
Biellese score 0.9 and concede 1.0 goals per match over their last 12; Imperia score 1.1 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Biellese | 0.9 | 1.0 | 6 | 5/12 | 4/12 |
| Imperia | 1.1 | 1.7 | 4 | 9/15 | 9/15 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
Biellese sit 2nd in Serie D - Girone A (14 points from 6 matches) and Imperia sit 10th (8 points from 6 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Biellese | 6 | 4 | 2 | 0 | 12 | 5 | 14 |
| 10 | Imperia | 6 | 2 | 2 | 2 | 7 | 6 | 8 |
A question about Biellese vs Imperia?
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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