Bisceglie vs Lavello: result 1-2 and analysis
Serie D - Girone HGroup H - 6Kick-off on October 17, 2021 at 01:00 PM (UTC)Stadio Gustavo Ventura, Bisceglie
Full time
What was the result of Bisceglie vs Lavello?
Lavello won 1-2 on October 17, 2021.
Goalscorers
- 37′192074Lavello
- 85′?Lavello
- 90′?Bisceglie
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bisceglie have 4 wins, 3 draws and 8 defeats; Lavello have 3, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2021 | Nardò(away) | 1-1 | Serie D - Girone H |
| Oct 6, 2021 | Casertana(home) | 0-0 | Serie D - Girone H |
| Oct 3, 2021 | Gravina(away) | 0-1 | Serie D - Girone H |
| Sep 26, 2021 | Casarano(away) | 1-0 | Serie D - Girone H |
| Sep 19, 2021 | Nocerina(home) | 0-0 | Serie D - Girone H |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2021 | Nola 1925(home) | 4-0 | Serie D - Girone H |
| Oct 6, 2021 | Team Altamura(away) | 2-1 | Serie D - Girone H |
| Oct 3, 2021 | Città di Fasano(home) | 0-3 | Serie D - Girone H |
| Sep 26, 2021 | San Giorgio(away) | 1-0 | Serie D - Girone H |
| Sep 22, 2021 | Molfetta Calcio(away) | 0-1 | Coppa Italia Serie D |
How many goals should we expect?
Bisceglie score 0.7 and concede 1.2 goals per match over their last 15; Lavello score 1.3 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bisceglie | 0.7 | 1.2 | 5 | 6/15 | 6/15 |
| Lavello | 1.3 | 1.0 | 2 | 2/6 | 3/6 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Bisceglie | 7 | 5 | 0 | 2 | 14 | 8 | 15 |
A question about Bisceglie vs Lavello?
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