Puteolana vs Nocerina: result 1-1 and analysis
Serie D - Girone HGroup H - 10Kick-off on November 6, 2022 at 01:30 PM (UTC)Stadio Domenico Conte, Pozzuoli
Full time
What was the result of Puteolana vs Nocerina?
Puteolana and Nocerina drew 1-1 on November 6, 2022.
Goalscorers
- 45′A. GarofaloNocerina
- 65′?Puteolana
What is the recent form of both teams?
Over their last 13 matches in all competitions, Puteolana have 1 win, 6 draws and 6 defeats; Nocerina have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2022 | Molfetta Calcio(home) | 0-0 | Coppa Italia Serie D |
| Oct 30, 2022 | Gravina(away) | 0-0 | Serie D - Girone H |
| Oct 23, 2022 | Martina Franca(home) | 1-3 | Serie D - Girone H |
| Oct 17, 2022 | Bitonto(away) | 0-2 | Serie D - Girone H |
| Oct 9, 2022 | Francavilla(home) | 1-1 | Serie D - Girone H |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2022 | Portici(home) | 3-3 | Coppa Italia Serie D |
| Oct 30, 2022 | Team Altamura(home) | 2-3 | Serie D - Girone H |
| Oct 23, 2022 | Barletta(away) | 1-1 | Serie D - Girone H |
| Oct 16, 2022 | Brindisi(home) | 3-0 | Serie D - Girone H |
| Oct 9, 2022 | Afragolese(away) | 1-3 | Serie D - Girone H |
How many goals should we expect?
Puteolana score 0.8 and concede 1.7 goals per match over their last 13; Nocerina score 1.5 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Puteolana | 0.8 | 1.7 | 3 | 7/13 | 6/13 |
| Nocerina | 1.5 | 1.2 | 3 | 10/15 | 6/15 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Nocerina | 7 | 4 | 1 | 2 | 12 | 9 | 13 |
A question about Puteolana vs Nocerina?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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