Audace Cerignola vs Catania: result 1-0 and analysis
Serie C - Girone CGirone C - 13Kick-off on November 12, 2023 at 05:30 PM (UTC)Campo Comunale Domenico Monterisi, Cerignola
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What was the result of Audace Cerignola vs Catania?
Audace Cerignola won 1-0 on November 12, 2023.
Goalscorers
- 59′G. MalcoreAudace Cerignola
What is the recent form of both teams?
Over their last 15 matches in all competitions, Audace Cerignola have 4 wins, 7 draws and 4 defeats; Catania 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 6, 2023 | SS Monopoli(away) | 2-2 | Serie C - Girone C |
| Oct 29, 2023 | Casertana(home) | 2-4 | Serie C - Girone C |
| Oct 25, 2023 | Avellino(away) | 0-1 | Serie C - Girone C |
| Oct 21, 2023 | Latina(home) | 2-0 | Serie C - Girone C |
| Oct 14, 2023 | Guidonia Montecelio 1937(away) | 3-0 | Serie C - Girone C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 8, 2023 | AZ Picerno(home) | 3-2 | Coppa Italia Serie C |
| Nov 5, 2023 | Potenza(away) | 0-1 | Serie C - Girone C |
| Nov 1, 2023 | Brindisi(away) | 2-0 | Serie C - Girone C |
| Oct 29, 2023 | Avellino(home) | 0-2 | Serie C - Girone C |
| Oct 25, 2023 | Guidonia Montecelio 1937(away) | 1-1 | Serie C - Girone C |
How many goals should we expect?
Audace Cerignola score 1.4 and concede 1.3 goals per match over their last 15; Catania score 1.2 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Audace Cerignola | 1.4 | 1.3 | 5 | 7/15 | 8/15 |
| Catania | 1.2 | 0.9 | 5 | 5/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Audace Cerignola sit 3rd in Serie C - Girone C (3 points from 1 matches) and Catania sit 17th (0 points from 1 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Audace Cerignola | 1 | 1 | 0 | 0 | 3 | 1 | 3 |
| 17 | Catania | 1 | 0 | 0 | 1 | 1 | 2 | 0 |
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