Juve Stabia vs AZ Picerno: result 2-3 and analysis
Serie C - Girone CGirone C - 9Kick-off on October 17, 2021 at 12:30 PM (UTC)Stadio Comunale Romeo Menti, Castellammare di Stabia
Full time
What was the result of Juve Stabia vs AZ Picerno?
AZ Picerno won 2-3 on October 17, 2021.
Goalscorers
- 15′Simone De MarcoAZ Picerno
- 32′Francesco VivacquaAZ Picerno
- 34′U. EusepiJuve Stabia
- 56′F. GerardiAZ Picerno
- 64′M. FerraniJuve Stabia (o.g.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Juve Stabia have 5 wins, 6 draws and 4 defeats; AZ Picerno have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2021 | Catania(away) | 2-3 | Serie C - Girone C |
| Oct 4, 2021 | Palermo(home) | 0-0 | Serie C - Girone C |
| Sep 29, 2021 | Latina(away) | 1-0 | Serie C - Girone C |
| Sep 26, 2021 | Foggia(away) | 1-1 | Serie C - Girone C |
| Sep 18, 2021 | Campobasso FC(home) | 0-0 | Serie C - Girone C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2021 | Latina(away) | 0-3 | Serie C - Girone C |
| Oct 4, 2021 | Catania(home) | 0-1 | Serie C - Girone C |
| Sep 29, 2021 | SS Monopoli(away) | 0-2 | Serie C - Girone C |
| Sep 26, 2021 | Messina(home) | 2-1 | Serie C - Girone C |
| Sep 19, 2021 | Turris(away) | 1-0 | Serie C - Girone C |
How many goals should we expect?
Juve Stabia score 1.4 and concede 1.2 goals per match over their last 15; AZ Picerno score 0.7 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Juve Stabia | 1.4 | 1.2 | 5 | 8/15 | 6/15 |
| AZ Picerno | 0.7 | 1.2 | 5 | 4/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | AZ Picerno | 1 | 1 | 0 | 0 | 3 | 2 | 3 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy