Nocerina vs Albalonga: result 1-2 and analysis
Serie D - Girone GGroup G - 3Kick-off on September 20, 2025 at 01:30 PM (UTC)Stadio San Francesco, Nocera Inferiore
Full time
What was the result of Nocerina vs Albalonga?
Albalonga won 1-2 on September 20, 2025.
Goalscorers
- 43′565960Albalonga
- 45′565964Albalonga
- 90′565965Nocerina
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nocerina have 9 wins, 5 draws and 1 defeat; Albalonga have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2025 | Scafatese(away) | 1-1 | Serie D - Girone G |
| Sep 7, 2025 | Trastevere(home) | 1-1 | Serie D - Girone G |
| Aug 31, 2025 | USD Palmese(home) | 3-2 | Coppa Italia Serie D |
| May 18, 2025 | Martina Franca(home) | 2-1 | Serie D - Promotion - Play-offs |
| May 11, 2025 | Città di Fasano(home) | 4-2 | Serie D - Promotion - Play-offs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2025 | Anzio(away) | 0-0 | Serie D - Girone G |
| Sep 7, 2025 | Olbia(home) | 1-1 | Serie D - Girone G |
| Mar 14, 2024 | SalPa(away) | 0-6 | Friendlies Clubs |
| Mar 1, 2020 | Tuttocuoio(away) | 2-0 | Serie D - Girone E |
| Feb 23, 2020 | Foligno Calcio(home) | 0-1 | Serie D - Girone E |
How many goals should we expect?
Nocerina score 2.2 and concede 1.0 goals per match over their last 15; Albalonga score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nocerina | 2.2 | 1.0 | 5 | 10/15 | 9/15 |
| Albalonga | 1.1 | 1.1 | 6 | 5/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Albalonga | 6 | 2 | 2 | 2 | 9 | 9 | 8 |
A question about Nocerina vs Albalonga?
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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