Portici vs Casertana: result 3-2 and analysis
Serie D - Girone GGroup G - 31Kick-off on April 16, 2023 at 01:00 PM (UTC)Stadio San Ciro, Portici
Full time
What was the result of Portici vs Casertana?
Portici won 3-2 on April 16, 2023.
Goalscorers
- 52′Davide Di GennaroPortici
- 62′G. CasoliCasertana
- 64′Davide Di GennaroPortici
- 84′Angelo GuidaCasertana
- 90′?Portici
What is the recent form of both teams?
Over their last 15 matches in all competitions, Portici have 3 wins, 6 draws and 6 defeats; Casertana have 10, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 6, 2023 | Pomezia(away) | 1-1 | Serie D - Girone G |
| Apr 2, 2023 | Arzachena(home) | 1-2 | Serie D - Girone G |
| Mar 18, 2023 | Real Monterotondo(away) | 1-1 | Serie D - Girone G |
| Mar 12, 2023 | Tivoli(home) | 1-2 | Serie D - Girone G |
| Mar 5, 2023 | Cassino(away) | 0-5 | Serie D - Girone G |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 6, 2023 | Sorrento(home) | 3-0 | Serie D - Girone G |
| Apr 1, 2023 | Atletico Uri(away) | 0-1 | Serie D - Girone G |
| Mar 19, 2023 | Arzachena(away) | 1-0 | Serie D - Girone G |
| Mar 12, 2023 | Vis Artena(home) | 3-0 | Serie D - Girone G |
| Mar 5, 2023 | Tivoli(away) | 3-2 | Serie D - Girone G |
What does the head-to-head say?
In the last meeting: 0 Portici wins, 0 draws, 1 Casertana win.
| Date | Score | Competition |
|---|---|---|
| Dec 4, 2022 | Casertana 1-0 Portici | Serie D - Girone G |
How many goals should we expect?
Portici score 1.2 and concede 1.7 goals per match over their last 15; Casertana score 1.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Portici | 1.2 | 1.7 | 4 | 9/15 | 9/15 |
| Casertana | 1.9 | 0.9 | 8 | 6/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Portici vs Casertana?
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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