Derthona vs Castanese: result 3-0 and analysis
Serie D - Girone AGroup A - 12Kick-off on November 6, 2022 at 01:30 PM (UTC)Stadio Fausto Coppi, Tortona
Full time
What was the result of Derthona vs Castanese?
Derthona won 3-0 on November 6, 2022.
Goalscorers
- 49′?Derthona
- 80′?Derthona
- 83′Alessandro RomaironeDerthona
What is the recent form of both teams?
Over their last 15 matches in all competitions, Derthona have 4 wins, 5 draws and 6 defeats; Castanese have 6, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2022 | Casale(away) | 1-0 | Coppa Italia Serie D |
| Oct 30, 2022 | Pinerolo(away) | 0-0 | Serie D - Girone A |
| Oct 23, 2022 | Legnano(home) | 3-0 | Serie D - Girone A |
| Oct 16, 2022 | Sanremese(away) | 1-5 | Serie D - Girone A |
| Oct 9, 2022 | Sestri Levante(home) | 0-3 | Serie D - Girone A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2022 | Castellanzese(home) | 1-2 | Serie D - Girone A |
| Oct 23, 2022 | Asti(away) | 3-1 | Serie D - Girone A |
| Oct 16, 2022 | Chisola(home) | 4-0 | Serie D - Girone A |
| Oct 9, 2022 | Borgosesia(away) | 4-3 | Serie D - Girone A |
| Oct 5, 2022 | Pinerolo(home) | 0-4 | Serie D - Girone A |
How many goals should we expect?
Derthona score 1.5 and concede 1.9 goals per match over their last 15; Castanese score 1.5 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Derthona | 1.5 | 1.9 | 5 | 9/15 | 11/15 |
| Castanese | 1.5 | 1.4 | 4 | 6/13 | 6/13 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Derthona | 6 | 3 | 2 | 1 | 7 | 6 | 11 |
A question about Derthona vs Castanese?
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