Villafranca vs Levico: result 2-1 and analysis
Serie D - Girone CGroup C - 6Kick-off on October 9, 2022 at 01:00 PM (UTC)Stadio Comunale, Villafranca di Verona
Full time
What was the result of Villafranca vs Levico?
Villafranca won 2-1 on October 9, 2022.
Goalscorers
- 18′?Villafranca
- 24′?Villafranca
- 72′Leonardo MoraschiLevico
What is the recent form of both teams?
Over their last 15 matches in all competitions, Villafranca have 2 wins, 5 draws and 8 defeats; Levico have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2022 | Caldiero Terme(away) | 1-2 | Serie D - Girone C |
| Sep 27, 2022 | Legnago Salus(home) | 1-1 | Serie D - Girone C |
| Sep 18, 2022 | Este(away) | 0-2 | Serie D - Girone C |
| Sep 11, 2022 | Mestre(home) | 3-2 | Serie D - Girone C |
| Sep 4, 2022 | Dolomiti Bellunesi(away) | 1-0 | Serie D - Girone C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2022 | Montebelluna(home) | 2-2 | Serie D - Girone C |
| Sep 24, 2022 | Portogruaro(away) | 0-3 | Serie D - Girone C |
| Sep 18, 2022 | Clodiense(home) | 0-0 | Serie D - Girone C |
| Sep 11, 2022 | Montecchio Maggiore(away) | 1-0 | Serie D - Girone C |
| Sep 4, 2022 | Luparense(home) | 0-2 | Serie D - Girone C |
How many goals should we expect?
Villafranca score 0.9 and concede 1.5 goals per match over their last 15; Levico score 0.6 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Villafranca | 0.9 | 1.5 | 3 | 8/15 | 7/15 |
| Levico | 0.6 | 1.5 | 4 | 5/15 | 5/15 |
Over the last 15 matches in all competitions.
A question about Villafranca vs Levico?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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