Sanremese vs Borgosesia: result 1-0 and analysis
Serie D - Girone ARegular Season - 8Kick-off on October 30, 2019 at 03:00 PM (UTC)Stadio Comunale Luigi Cichero, Sanremo
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What was the result of Sanremese vs Borgosesia?
Sanremese won 1-0 on October 30, 2019.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Sanremese have 3 wins, 3 draws and 3 defeats; Borgosesia have 3, 4 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | Casale(away) | 1-2 | Serie D - Girone A |
| Oct 13, 2019 | Real Forte Querceta(away) | 1-0 | Serie D - Girone A |
| Oct 6, 2019 | Bra(home) | 1-0 | Serie D - Girone A |
| Sep 29, 2019 | Lucchese(away) | 0-0 | Serie D - Girone A |
| Sep 22, 2019 | Vado(home) | 3-0 | Serie D - Girone A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | Prato(home) | 2-0 | Serie D - Girone A |
| Oct 13, 2019 | Ligorna(home) | 1-1 | Serie D - Girone A |
| Oct 6, 2019 | Ghivizzano Borgo Mozzano(away) | 0-3 | Serie D - Girone A |
| Sep 29, 2019 | Casale(home) | 2-0 | Serie D - Girone A |
| Sep 22, 2019 | Real Forte Querceta(away) | 1-1 | Serie D - Girone A |
How many goals should we expect?
Sanremese score 1.1 and concede 0.9 goals per match over their last 9; Borgosesia score 1.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sanremese | 1.1 | 0.9 | 4 | 3/9 | 3/9 |
| Borgosesia | 1.5 | 1.3 | 2 | 5/8 | 2/8 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
Sanremese sit 12th in Serie D - Girone A (8 points from 6 matches) and Borgosesia sit 15th (6 points from 6 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Sanremese | 6 | 2 | 2 | 2 | 9 | 7 | 8 |
| 15 | Borgosesia | 6 | 1 | 3 | 2 | 5 | 7 | 6 |
A question about Sanremese vs Borgosesia?
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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