Lavello vs Team Altamura: result 0-0 and analysis
Serie D - Girone HGroup H - 23Kick-off on February 13, 2022 at 01:30 PM (UTC)Stadio Franco Pisicchio, Lavello
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What was the result of Lavello vs Team Altamura?
Lavello and Team Altamura drew 0-0 on February 13, 2022.
Goalscorers
- 82′?Team Altamura
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lavello have 4 wins, 3 draws and 8 defeats; Team Altamura have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 6, 2022 | Città di Fasano(away) | 0-2 | Serie D - Girone H |
| Feb 2, 2022 | San Giorgio(home) | 0-1 | Serie D - Girone H |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 6, 2022 | Casertana(home) | 3-1 | Serie D - Girone H |
| Feb 2, 2022 | Gravina(away) | 0-1 | Serie D - Girone H |
| Dec 22, 2021 | Bisceglie(away) | 0-0 | Serie D - Girone H |
| Dec 18, 2021 | Nola 1925(away) | 1-0 | Serie D - Girone H |
| Dec 12, 2021 | Nocerina(home) | 2-0 | Serie D - Girone H |
What does the head-to-head say?
Across the last 1 meetings: 1 Lavello win(s), 0 draw(s), 0 Team Altamura win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 6, 2021 | Team Altamura 1-2 Lavello | Serie D - Girone H |
Last archived meeting: Team Altamura vs Lavello on Oct 6, 2021
How many goals should we expect?
Lavello score 1.5 and concede 1.9 goals per match over their last 15; Team Altamura score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lavello | 1.5 | 1.9 | 1 | 10/15 | 10/15 |
| Team Altamura | 1.1 | 1.1 | 5 | 7/15 | 6/15 |
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