Catania vs AZ Picerno: result 1-0 and analysis
Serie C - Girone CGirone C - 9Kick-off on October 13, 2019 at 01:00 PM (UTC)Stadio Angelo Massimino, Catania
Full time
What was the result of Catania vs AZ Picerno?
Catania won 1-0 on October 13, 2019.
Goalscorers
- 47′A. MazzaraniCatania
What is the recent form of both teams?
Over their last 15 matches in all competitions, Catania have 6 wins, 4 draws and 5 defeats; AZ Picerno have 2, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2019 | Ternana(away) | 2-3 | Serie C - Girone C |
| Sep 29, 2019 | Reggiana(away) | 0-1 | Serie C - Girone C |
| Sep 25, 2019 | Cavese(home) | 4-0 | Serie C - Girone C |
| Sep 22, 2019 | SS Monopoli(away) | 2-4 | Serie C - Girone C |
| Sep 15, 2019 | Viterbese(home) | 1-0 | Serie C - Girone C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2019 | Bisceglie(away) | 2-2 | Serie C - Girone C |
| Sep 28, 2019 | Bari(home) | 0-1 | Serie C - Girone C |
| Sep 25, 2019 | Vibonese(away) | 1-3 | Serie C - Girone C |
| Sep 22, 2019 | Casertana(home) | 1-1 | Serie C - Girone C |
| Sep 15, 2019 | Avellino(home) | 2-3 | Serie C - Girone C |
How many goals should we expect?
Catania score 2.0 and concede 1.5 goals per match over their last 15; AZ Picerno score 1.2 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Catania | 2.0 | 1.5 | 3 | 10/15 | 9/15 |
| AZ Picerno | 1.2 | 1.7 | 0 | 7/9 | 5/9 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Catania sit 2nd in Serie C - Girone C (70 points from 38 matches) and AZ Picerno sit 15th (40 points from 38 matches).
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Catania | 38 | 19 | 13 | 6 | 54 | 25 | 70 |
| 15 | AZ Picerno | 38 | 9 | 13 | 16 | 43 | 55 | 40 |
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