Nocerina vs Albalonga: result 2-2 and analysis
Serie D - Girone GGroup G - 1Kick-off on September 10, 2023 at 01:00 PM (UTC)Stadio San Francesco, Nocera Inferiore
Full time
What was the result of Nocerina vs Albalonga?
Nocerina and Albalonga drew 2-2 on September 10, 2023.
Goalscorers
- 46′?Albalonga
- 49′?Albalonga
- 64′Gianmarco PiccioniNocerina
- 68′G. CaccavalloNocerina
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nocerina have 5 wins, 2 draws and 8 defeats; Albalonga 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 |
|---|---|---|---|
| Sep 3, 2023 | Angri Calcio(home) | 2-2 | Coppa Italia Serie D |
| Aug 27, 2023 | Ischia(home) | 3-2 | Coppa Italia Serie D |
| Aug 20, 2023 | Turris(away) | 2-3 | Friendlies Clubs |
| May 14, 2023 | Francavilla(home) | 2-1 | Serie D - Relegation - Play-offs |
| May 7, 2023 | Cavese(away) | 1-6 | Serie D - Girone H |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 3, 2023 | Cassino(home) | 3-0 | Coppa Italia Serie D |
| May 14, 2023 | Vigor Senigallia(away) | 1-2 | Serie D - Promotion - Play-offs |
| May 7, 2023 | Vastogirardi(home) | 1-0 | Serie D - Girone F |
| Apr 30, 2023 | Matese(away) | 1-1 | Serie D - Girone F |
| Apr 23, 2023 | AJ Fano(home) | 0-1 | Serie D - Girone F |
How many goals should we expect?
Nocerina score 1.5 and concede 1.9 goals per match over their last 15; Albalonga score 0.9 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nocerina | 1.5 | 1.9 | 1 | 11/15 | 11/15 |
| Albalonga | 0.9 | 0.5 | 8 | 4/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 8 | Nocerina | 34 | 11 | 14 | 9 | 36 | 33 | 47 |
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