Asti vs Chisola: result 1-0 and analysis
Serie D - Girone AGroup A - 11Kick-off on October 30, 2022 at 01:30 PM (UTC)Stadio Vincenzo Cesin Bosia, Asti
Full time
What was the result of Asti vs Chisola?
Asti won 1-0 on October 30, 2022.
Goalscorers
- 80′?Asti
What is the recent form of both teams?
Over their last 15 matches in all competitions, Asti have 4 wins, 7 draws and 4 defeats; Chisola have 2, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2022 | Castanese(home) | 1-3 | Serie D - Girone A |
| Oct 16, 2022 | Pinerolo(away) | 0-0 | Serie D - Girone A |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2022 | Sanremese(home) | 0-2 | Serie D - Girone A |
| Oct 16, 2022 | Castanese(away) | 0-4 | Serie D - Girone A |
| Oct 9, 2022 | Bra(home) | 2-2 | Serie D - Girone A |
| Oct 5, 2022 | Legnano(away) | 2-2 | Serie D - Girone A |
| Oct 2, 2022 | Fezzanese(home) | 3-2 | Serie D - Girone A |
How many goals should we expect?
Asti score 1.1 and concede 0.9 goals per match over their last 15; Chisola score 0.8 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Asti | 1.1 | 0.9 | 6 | 8/15 | 6/15 |
| Chisola | 0.8 | 1.8 | 2 | 5/12 | 5/12 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Asti sit 5th in Serie D - Girone A (10 points from 6 matches) and Chisola sit 9th (8 points from 6 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Asti | 6 | 3 | 1 | 2 | 8 | 7 | 10 |
| 9 | Chisola | 6 | 2 | 2 | 2 | 9 | 7 | 8 |
A question about Asti vs Chisola?
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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