Puteolana vs Casarano: result 0-1 and analysis
Serie D - Girone HGroup H - 28Kick-off on March 19, 2023 at 01:30 PM (UTC)Stadio Domenico Conte, Pozzuoli
Full time
What was the result of Puteolana vs Casarano?
Casarano won 0-1 on March 19, 2023.
Goalscorers
- 69′Nicola StrambelliCasarano
What is the recent form of both teams?
Over their last 15 matches in all competitions, Puteolana have 3 wins, 2 draws and 10 defeats; Casarano have 6, 8 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 12, 2023 | Nocerina(away) | 0-2 | Serie D - Girone H |
| Mar 5, 2023 | Gravina(home) | 0-1 | Serie D - Girone H |
| Feb 26, 2023 | Martina Franca(away) | 1-2 | Serie D - Girone H |
| Feb 22, 2023 | Pineto(away) | 1-4 | Coppa Italia Serie D |
| Feb 18, 2023 | Bitonto(home) | 5-0 | Serie D - Girone H |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 12, 2023 | Città di Fasano(home) | 1-1 | Serie D - Girone H |
| Mar 5, 2023 | Barletta(away) | 3-3 | Serie D - Girone H |
| Feb 26, 2023 | Matera(home) | 2-1 | Serie D - Girone H |
| Feb 19, 2023 | Afragolese(away) | 1-0 | Serie D - Girone H |
| Feb 12, 2023 | Team Altamura(home) | 3-1 | Serie D - Girone H |
What does the head-to-head say?
In the last meeting: 0 Puteolana wins, 1 draw, 0 Casarano wins.
| Date | Score | Competition |
|---|---|---|
| Nov 13, 2022 | Casarano 1-1 Puteolana | Serie D - Girone H |
Last archived meeting: Casarano vs Puteolana on Nov 13, 2022
How many goals should we expect?
Puteolana score 1.3 and concede 1.9 goals per match over their last 15; Casarano score 1.4 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Puteolana | 1.3 | 1.9 | 1 | 9/15 | 10/15 |
| Casarano | 1.4 | 0.9 | 7 | 8/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Puteolana vs Casarano?
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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