Nocerina vs San Giorgio: result 2-0 and analysis
Serie D - Girone HGroup H - 27Kick-off on March 6, 2022 at 02:00 PM (UTC)Stadio San Francesco, Nocera Inferiore
Full time
What was the result of Nocerina vs San Giorgio?
Nocerina won 2-0 on March 6, 2022.
Goalscorers
- 30′Andrea ScrugliNocerina
- 37′G. DammaccoNocerina
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nocerina have 7 wins, 2 draws and 6 defeats; San Giorgio have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 27, 2022 | Nardò(away) | 2-0 | Serie D - Girone H |
| Feb 20, 2022 | Sorrento(home) | 3-0 | Serie D - Girone H |
| Feb 16, 2022 | Gravina(away) | 2-0 | Serie D - Girone H |
| Feb 13, 2022 | Rotonda(home) | 4-2 | Serie D - Girone H |
| Feb 2, 2022 | Francavilla(away) | 1-1 | Serie D - Girone H |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 27, 2022 | Brindisi(home) | 0-1 | Serie D - Girone H |
| Feb 20, 2022 | Rotonda(away) | 0-0 | Serie D - Girone H |
| Feb 16, 2022 | Bitonto(home) | 0-1 | Serie D - Girone H |
| Feb 12, 2022 | Francavilla(away) | 1-0 | Serie D - Girone H |
| Feb 6, 2022 | Mariglianese(home) | 1-0 | Serie D - Girone H |
What does the head-to-head say?
Across the last 1 meetings: 1 Nocerina win(s), 0 draw(s), 0 San Giorgio win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 24, 2021 | San Giorgio 0-1 Nocerina | Serie D - Girone H |
Last archived meeting: San Giorgio vs Nocerina on Oct 24, 2021
How many goals should we expect?
Nocerina score 1.7 and concede 1.7 goals per match over their last 15; San Giorgio score 0.8 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nocerina | 1.7 | 1.7 | 5 | 8/15 | 9/15 |
| San Giorgio | 0.8 | 0.9 | 5 | 7/15 | 5/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy