Lavello vs Rotonda: result 2-0 and analysis
Serie D - Girone HGroup H - 38Kick-off on May 22, 2022 at 02:00 PM (UTC)Stadio Franco Pisicchio, Lavello
Full time
What was the result of Lavello vs Rotonda?
Lavello won 2-0 on May 22, 2022.
Goalscorers
- 5′Marcelo Daniel Tapia AmarilloLavello (pen.)
- 26′?Lavello
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lavello have 3 wins, 4 draws and 8 defeats; Rotonda have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2022 | Sorrento(away) | 1-2 | Serie D - Girone H |
| May 8, 2022 | Francavilla(home) | 1-3 | Serie D - Girone H |
| May 4, 2022 | Brindisi(away) | 1-3 | Serie D - Girone H |
| Apr 24, 2022 | Mariglianese(home) | 0-1 | Serie D - Girone H |
| Apr 20, 2022 | Nardò(home) | 3-3 | Serie D - Girone H |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2022 | Virtus Matino(home) | 2-0 | Serie D - Girone H |
| May 8, 2022 | Casertana(away) | 0-2 | Serie D - Girone H |
| May 4, 2022 | Audace Cerignola(home) | 2-2 | Serie D - Girone H |
| Apr 24, 2022 | Gravina(away) | 1-0 | Serie D - Girone H |
| Apr 20, 2022 | Nola 1925(away) | 1-2 | Serie D - Girone H |
What does the head-to-head say?
In the last meeting: 0 Lavello wins, 0 draws, 1 Rotonda win.
| Date | Score | Competition |
|---|---|---|
| Mar 2, 2022 | Rotonda 2-1 Lavello | Serie D - Girone H |
How many goals should we expect?
Lavello score 1.0 and concede 1.5 goals per match over their last 15; Rotonda score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lavello | 1.0 | 1.5 | 4 | 8/15 | 7/15 |
| Rotonda | 1.1 | 1.5 | 6 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Lavello vs Rotonda?
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