Casertana vs Lavello: result 3-2 and analysis
Serie D - Girone HGroup H - 30Kick-off on March 30, 2022 at 01:00 PM (UTC)Stadio Comunale Alberto Pinto, Caserta
Full time
What was the result of Casertana vs Lavello?
Casertana won 3-2 on March 30, 2022.
Goalscorers
- 4′Marcelo Daniel Tapia AmarilloLavello (pen.)
- 9′?Casertana (pen.)
- 25′?Casertana
- 30′?Lavello (o.g.)
- 90′?Casertana
What is the recent form of both teams?
Over their last 15 matches in all competitions, Casertana have 4 wins, 3 draws and 8 defeats; Lavello have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 26, 2022 | Virtus Matino(away) | 1-1 | Serie D - Girone H |
| Mar 13, 2022 | Nocerina(home) | 1-1 | Serie D - Girone H |
| Mar 6, 2022 | Audace Cerignola(away) | 0-3 | Serie D - Girone H |
| Feb 27, 2022 | Gravina(away) | 1-0 | Serie D - Girone H |
| Feb 20, 2022 | Nardò(home) | 3-0 | Serie D - Girone H |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 26, 2022 | Audace Cerignola(home) | 0-1 | Serie D - Girone H |
| Mar 13, 2022 | Gravina(away) | 0-2 | Serie D - Girone H |
| Mar 2, 2022 | Rotonda(away) | 1-2 | Serie D - Girone H |
| Feb 26, 2022 | Casarano(away) | 1-1 | Serie D - Girone H |
| Feb 20, 2022 | Bisceglie(home) | 2-0 | Serie D - Girone H |
What does the head-to-head say?
Across the last 1 meetings: 0 Casertana win(s), 1 draw(s), 0 Lavello win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 14, 2021 | Lavello 2-2 Casertana | Serie D - Girone H |
How many goals should we expect?
Casertana score 1.3 and concede 1.7 goals per match over their last 15; Lavello score 0.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Casertana | 1.3 | 1.7 | 4 | 9/15 | 9/15 |
| Lavello | 0.7 | 1.3 | 3 | 6/15 | 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