Franciacorta vs Desenzano Calvina: result 0-3 and analysis
Serie D - Girone BGroup B - 3Kick-off on October 3, 2021 at 01:00 PM (UTC)Campo Sportivo Comunale Maselli, Adro
Full time
What was the result of Franciacorta vs Desenzano Calvina?
Desenzano Calvina won 0-3 on October 3, 2021.
Goalscorers
- 14′?Desenzano Calvina
- 22′?Desenzano Calvina
- 32′?Desenzano Calvina
What is the recent form of both teams?
Over their last 15 matches in all competitions, Franciacorta have 5 wins, 2 draws and 8 defeats; Desenzano Calvina have 1, 0 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2021 | USD Casatese(away) | 3-2 | Serie D - Girone B |
| Sep 22, 2021 | Desenzano Calvina(away) | 2-1 | Coppa Italia Serie D |
| Sep 19, 2021 | Ponte San Pietro(home) | 1-3 | Serie D - Girone B |
| Feb 16, 2020 | Mantova(home) | 2-1 | Serie D - Girone D |
| Feb 9, 2020 | Alfonsine(away) | 0-1 | Serie D - Girone D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2021 | Villa Valle(home) | 2-0 | Serie D - Girone B |
| Sep 22, 2021 | Franciacorta(home) | 1-2 | Coppa Italia Serie D |
| Sep 19, 2021 | Caravaggio(away) | 2-3 | Serie D - Girone B |
What does the head-to-head say?
Across the last 1 meetings: 1 Franciacorta win(s), 0 draw(s), 0 Desenzano Calvina win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 22, 2021 | Desenzano Calvina 1-2 Franciacorta | Coppa Italia Serie D |
Last archived meeting: Desenzano Calvina vs Franciacorta on Sep 22, 2021
How many goals should we expect?
Franciacorta score 1.4 and concede 2.0 goals per match over their last 15; Desenzano Calvina score 1.7 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Franciacorta | 1.4 | 2.0 | 1 | 11/15 | 12/15 |
| Desenzano Calvina | 1.7 | 1.7 | 1 | 2/3 | 2/3 |
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