Casale vs Sanremese: result 2-1 and analysis
Serie D - Girone ARegular Season - 9Kick-off on October 27, 2019 at 12:30 PM (UTC)Stadio Natale Palli, Casale Monferrato
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What was the result of Casale vs Sanremese?
Casale won 2-1 on October 27, 2019.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Casale have 3 wins, 3 draws and 2 defeats; Sanremese have 3, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2019 | Real Forte Querceta(home) | 1-1 | Serie D - Girone A |
| Oct 13, 2019 | Ghivizzano Borgo Mozzano(away) | 3-2 | Serie D - Girone A |
| Oct 6, 2019 | Lucchese(home) | 2-1 | Serie D - Girone A |
| Sep 29, 2019 | Borgosesia(away) | 0-2 | Serie D - Girone A |
| Sep 22, 2019 | Bra(home) | 1-0 | Serie D - Girone A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 15, 2019 | Lavagnese(away) | 1-1 | Serie D - Girone A |
How many goals should we expect?
Casale score 1.1 and concede 1.1 goals per match over their last 8; Sanremese score 1.1 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Casale | 1.1 | 1.1 | 2 | 4/8 | 3/8 |
| Sanremese | 1.1 | 0.8 | 4 | 2/8 | 2/8 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Sanremese | 6 | 2 | 2 | 2 | 9 | 7 | 8 |
A question about Casale vs Sanremese?
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