Calvina vs Savignanese: result 3-0 and analysis
Serie D - Girone DRegular Season - 24Kick-off on February 16, 2020 at 01:30 PM (UTC)Stadio Comunal Mundial ‘82, Carpenedolo
Full time
What was the result of Calvina vs Savignanese?
Calvina won 3-0 on February 16, 2020.
Goalscorers
- 29′?Calvina
- 66′?Calvina
- 69′?Calvina
What is the recent form of both teams?
Over their last 15 matches in all competitions, Calvina have 10 wins, 2 draws and 3 defeats; Savignanese have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 9, 2020 | Fiorenzuola(away) | 1-0 | Serie D - Girone D |
| Feb 2, 2020 | Progresso(home) | 5-0 | Serie D - Girone D |
| Jan 26, 2020 | Mezzolara(away) | 2-0 | Serie D - Girone D |
| Jan 19, 2020 | Crema(home) | 0-0 | Serie D - Girone D |
| Jan 12, 2020 | Fanfulla(away) | 2-1 | Serie D - Girone D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 9, 2020 | Breno(home) | 1-0 | Serie D - Girone D |
| Feb 2, 2020 | Ciliverghe(away) | 2-3 | Serie D - Girone D |
| Jan 26, 2020 | Franciacorta(home) | 0-0 | Serie D - Girone D |
| Jan 19, 2020 | Alfonsine(away) | 2-1 | Serie D - Girone D |
| Jan 12, 2020 | Progresso(away) | 0-0 | Serie D - Girone D |
What does the head-to-head say?
Across the last 1 meetings: 1 Calvina win(s), 0 draw(s), 0 Savignanese win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 13, 2019 | Savignanese 1-3 Calvina | Serie D - Girone D |
Last archived meeting: Savignanese vs Calvina on Oct 13, 2019
How many goals should we expect?
Calvina score 2.0 and concede 1.1 goals per match over their last 15; Savignanese score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Calvina | 2.0 | 1.1 | 5 | 8/15 | 11/15 |
| Savignanese | 0.9 | 1.3 | 3 | 8/15 | 8/15 |
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