Pinerolo vs Asti: result 0-0 and analysis
Serie D - Girone AGroup A - 9Kick-off on October 16, 2022 at 01:00 PM (UTC)Stadio Luigi Barbieri, Pinerolo
Full time
What was the result of Pinerolo vs Asti?
Pinerolo and Asti drew 0-0 on October 16, 2022.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Pinerolo have 2 wins, 3 draws and 4 defeats; Asti have 4, 8 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2022 | Sanremese(home) | 0-2 | Serie D - Girone A |
| Oct 5, 2022 | Castanese(away) | 4-0 | Serie D - Girone A |
| Oct 2, 2022 | Bra(home) | 1-3 | Serie D - Girone A |
| Sep 28, 2022 | Legnano(away) | 0-3 | Serie D - Girone A |
| Sep 23, 2022 | Fezzanese(home) | 2-2 | Serie D - Girone A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2022 | Legnano(home) | 1-1 | Serie D - Girone A |
| Oct 5, 2022 | Sanremese(away) | 0-0 | Serie D - Girone A |
| Oct 2, 2022 | Sestri Levante(home) | 1-2 | Serie D - Girone A |
| Sep 28, 2022 | Bra(away) | 0-0 | Serie D - Girone A |
| Sep 21, 2022 | Gozzano(home) | 1-1 | Serie D - Girone A |
How many goals should we expect?
Pinerolo score 1.3 and concede 1.8 goals per match over their last 9; Asti score 1.2 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pinerolo | 1.3 | 1.8 | 2 | 5/9 | 6/9 |
| Asti | 1.2 | 0.9 | 6 | 8/15 | 6/15 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Asti | 6 | 3 | 1 | 2 | 8 | 7 | 10 |
A question about Pinerolo vs Asti?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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