Puteolana vs Sarrabus Ogliastra: result 2-1 and analysis
Coppa Italia Serie DRound of 16Kick-off on January 11, 2023 at 01:00 PM (UTC)Stadio Domenico Conte, Pozzuoli
Full time
What was the result of Puteolana vs Sarrabus Ogliastra?
Puteolana won 2-1 on January 11, 2023.
Goalscorers
- 7′?Puteolana
- 54′?Puteolana
- 64′?Sarrabus Ogliastra
What is the recent form of both teams?
Over their last 15 matches in all competitions, Puteolana have 1 win, 7 draws and 7 defeats; Sarrabus Ogliastra have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 8, 2023 | Nardò(home) | 1-2 | Serie D - Girone H |
| Dec 21, 2022 | Matera(away) | 0-2 | Serie D - Girone H |
| Dec 17, 2022 | Lavello(home) | 1-1 | Serie D - Girone H |
| Dec 11, 2022 | Team Altamura(away) | 0-3 | Serie D - Girone H |
| Dec 7, 2022 | Trastevere(home) | 1-0 | Coppa Italia Serie D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 8, 2023 | Arzachena(home) | 1-1 | Serie D - Girone G |
| Dec 21, 2022 | Real Monterotondo(home) | 3-1 | Serie D - Girone G |
| Dec 18, 2022 | Tivoli(away) | 0-1 | Serie D - Girone G |
| Dec 11, 2022 | Cassino(home) | 1-1 | Serie D - Girone G |
| Dec 4, 2022 | Lupa Roma(away) | 1-3 | Serie D - Girone G |
How many goals should we expect?
Puteolana score 0.5 and concede 1.3 goals per match over their last 15; Sarrabus Ogliastra score 1.7 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Puteolana | 0.5 | 1.3 | 3 | 7/15 | 3/15 |
| Sarrabus Ogliastra | 1.7 | 1.2 | 2 | 11/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Puteolana vs Sarrabus Ogliastra?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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