Lavello vs San Giorgio: result 0-1 and analysis
Serie D - Girone HGroup H - 21Kick-off on February 2, 2022 at 01:30 PM (UTC)Stadio Franco Pisicchio, Lavello
Full time
What was the result of Lavello vs San Giorgio?
San Giorgio won 0-1 on February 2, 2022.
Goalscorers
- 37′?San Giorgio
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lavello have 6 wins, 3 draws and 6 defeats; San Giorgio have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 30, 2022 | Molfetta Calcio(away) | 1-1 | Serie D - Girone H |
| Dec 22, 2021 | Sorrento(home) | 0-2 | Serie D - Girone H |
| Dec 19, 2021 | Francavilla(away) | 1-3 | Serie D - Girone H |
| Dec 12, 2021 | Brindisi(home) | 3-1 | Serie D - Girone H |
| Dec 8, 2021 | Mariglianese(away) | 0-3 | Serie D - Girone H |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 30, 2022 | Virtus Matino(home) | 2-1 | Serie D - Girone H |
| Jan 26, 2022 | Audace Cerignola(away) | 1-2 | Serie D - Girone H |
| Jan 23, 2022 | Casertana(home) | 0-1 | Serie D - Girone H |
| Dec 19, 2021 | Gravina(home) | 1-3 | Serie D - Girone H |
| Dec 12, 2021 | Nardò(away) | 1-2 | Serie D - Girone H |
What does the head-to-head say?
In the last meeting: 1 Lavello win, 0 draws, 0 San Giorgio wins.
| Date | Score | Competition |
|---|---|---|
| Sep 26, 2021 | San Giorgio 0-1 Lavello | Serie D - Girone H |
Last archived meeting: San Giorgio vs Lavello on Sep 26, 2021
How many goals should we expect?
Lavello score 1.9 and concede 1.7 goals per match over their last 15; San Giorgio score 0.8 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lavello | 1.9 | 1.7 | 2 | 11/15 | 12/15 |
| San Giorgio | 0.8 | 1.1 | 4 | 9/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Lavello vs San Giorgio?
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