Biellese vs Sanremese: result 0-0 and analysis
Serie D - Girone AGroup A - 7Kick-off on October 12, 2025 at 01:00 PM (UTC)
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What was the result of Biellese vs Sanremese?
Biellese and Sanremese drew 0-0 on October 12, 2025.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Biellese have 4 wins, 2 draws and 2 defeats; Sanremese have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2025 | Città di Varese(away) | 1-0 | Serie D - Girone A |
| Sep 28, 2025 | NovaRomentin(home) | 1-0 | Serie D - Girone A |
| Sep 24, 2025 | Chisola(home) | 0-0 | Serie D - Girone A |
| Sep 20, 2025 | Cairese(away) | 1-1 | Serie D - Girone A |
| Sep 14, 2025 | Valenzana(home) | 2-0 | Serie D - Girone A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2025 | Lavagnese(home) | 1-2 | Serie D - Girone A |
| Sep 28, 2025 | Chisola(away) | 0-1 | Serie D - Girone A |
| Sep 24, 2025 | Gozzano(home) | 1-1 | Serie D - Girone A |
| Sep 20, 2025 | Valenzana(away) | 1-1 | Serie D - Girone A |
| Sep 14, 2025 | Ligorna(home) | 1-1 | Serie D - Girone A |
How many goals should we expect?
Biellese score 1.0 and concede 0.8 goals per match over their last 8; Sanremese score 0.7 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Biellese | 1.0 | 0.8 | 5 | 3/8 | 2/8 |
| Sanremese | 0.7 | 1.0 | 2 | 7/15 | 3/15 |
Over the last 8 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 Sanremese sit 12th (8 points from 6 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Biellese | 6 | 4 | 2 | 0 | 12 | 5 | 14 |
| 12 | Sanremese | 6 | 2 | 2 | 2 | 9 | 7 | 8 |
A question about Biellese vs Sanremese?
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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