Angri Calcio vs Arzachena: result 1-2 and analysis
Serie D - Girone GGroup G - 13Kick-off on November 27, 2022 at 01:30 PM (UTC)Stadio Pasquale Novi, Angri
Full time
What was the result of Angri Calcio vs Arzachena?
Arzachena won 1-2 on November 27, 2022.
Goalscorers
- 19′Franco Emmanuel BolóArzachena
- 62′?Arzachena
- 90′?Angri Calcio
What is the recent form of both teams?
Over their last 14 matches in all competitions, Angri Calcio have 5 wins, 4 draws and 5 defeats; Arzachena have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 20, 2022 | Vis Artena(away) | 0-2 | Serie D - Girone G |
| Nov 13, 2022 | Tivoli(home) | 1-0 | Serie D - Girone G |
| Nov 6, 2022 | Pomezia(away) | 2-0 | Serie D - Girone G |
| Oct 30, 2022 | Lupa Roma(home) | 1-1 | Serie D - Girone G |
| Oct 23, 2022 | Real Monterotondo(away) | 3-1 | Serie D - Girone G |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 20, 2022 | Portici(home) | 3-0 | Serie D - Girone G |
| Nov 13, 2022 | Casertana(away) | 0-0 | Serie D - Girone G |
| Nov 6, 2022 | Atletico Uri(home) | 0-1 | Serie D - Girone G |
| Nov 2, 2022 | Sarrabus Ogliastra(home) | 0-1 | Coppa Italia Serie D |
| Oct 30, 2022 | Sorrento(away) | 1-3 | Serie D - Girone G |
How many goals should we expect?
Angri Calcio score 1.2 and concede 1.3 goals per match over their last 14; Arzachena score 1.6 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Angri Calcio | 1.2 | 1.3 | 4 | 8/14 | 7/14 |
| Arzachena | 1.6 | 1.3 | 4 | 9/15 | 10/15 |
Over the last 14 matches in all competitions.
A question about Angri Calcio vs Arzachena?
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