Nardò vs Puteolana: result 4-1 and analysis
Serie D - Girone HGroup H - 1Kick-off on September 4, 2022 at 01:00 PM (UTC)Heffort Sport Village, Parabita
Full time
What was the result of Nardò vs Puteolana?
Nardò won 4-1 on September 4, 2022.
Goalscorers
- 4′?Nardò
- 23′?Puteolana
- 34′Luca GuadalupiNardò
- 43′?Nardò (pen.)
- 90′C. MarianoNardò
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nardò have 5 wins, 5 draws and 5 defeats; Puteolana have 1, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 28, 2022 | Lavello(home) | 0-1 | Coppa Italia Serie D |
| Aug 21, 2022 | Martina Franca(home) | 1-1 | Coppa Italia Serie D |
| May 22, 2022 | Molfetta Calcio(home) | 5-4 | Serie D - Girone H |
| May 15, 2022 | Città di Fasano(away) | 2-3 | Serie D - Girone H |
| May 8, 2022 | Sorrento(home) | 4-0 | Serie D - Girone H |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 28, 2022 | Afragolese(away) | 4-2 | Coppa Italia Serie D |
| Aug 21, 2022 | Paganese(away) | 0-0 | Coppa Italia Serie D |
| Aug 10, 2021 | Benevento(away) | 0-2 | Friendlies Clubs |
How many goals should we expect?
Nardò score 2.1 and concede 1.8 goals per match over their last 15; Puteolana score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nardò | 2.1 | 1.8 | 2 | 11/15 | 9/15 |
| Puteolana | 1.3 | 1.3 | 1 | 1/3 | 1/3 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Nardò | 7 | 1 | 3 | 3 | 6 | 12 | 6 |
A question about Nardò vs Puteolana?
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