Chievo vs Ciliverghe: result 3-2 and analysis
Serie D - Girone BGroup B - 14Kick-off on November 16, 2024 at 01:30 PM (UTC)Sinergy Stadium, Verona
Full time
What was the result of Chievo vs Ciliverghe?
Chievo won 3-2 on November 16, 2024.
Goalscorers
- 34′?Chievo
- 49′?Chievo
- 72′G. BoldiniCiliverghe
- 74′Alessio De CerchioChievo
- 89′?Ciliverghe
What is the recent form of both teams?
Over their last 15 matches in all competitions, Chievo have 3 wins, 5 draws and 7 defeats; Ciliverghe 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 |
|---|---|---|---|
| Nov 10, 2024 | Vigasio(away) | 0-0 | Serie D - Girone B |
| Nov 3, 2024 | Club Milano(home) | 2-1 | Serie D - Girone B |
| Oct 27, 2024 | Crema(away) | 0-1 | Serie D - Girone B |
| Oct 23, 2024 | Pro Sesto(home) | 1-0 | Serie D - Girone B |
| Oct 19, 2024 | Ospitaletto(away) | 1-2 | Serie D - Girone B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2024 | Varesina(home) | 0-3 | Serie D - Girone B |
| Nov 3, 2024 | Sangiuliano City(away) | 0-1 | Serie D - Girone B |
| Oct 27, 2024 | Breno(home) | 0-1 | Serie D - Girone B |
| Oct 23, 2024 | Arconatese(away) | 3-3 | Serie D - Girone B |
| Oct 19, 2024 | Pro Palazzolo(home) | 3-0 | Serie D - Girone B |
How many goals should we expect?
Chievo score 0.7 and concede 1.1 goals per match over their last 15; Ciliverghe score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Chievo | 0.7 | 1.1 | 5 | 5/15 | 4/15 |
| Ciliverghe | 1.3 | 1.3 | 5 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Chievo | 34 | 18 | 6 | 10 | 52 | 43 | 60 |
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