Fanfulla vs ASD Sasso Marconi: result 4-0 and analysis
Serie D - Girone DGroup D - 34Kick-off on April 24, 2022 at 01:00 PM (UTC)Stadio Dossenina, Lodi
Full time
What was the result of Fanfulla vs ASD Sasso Marconi?
Fanfulla won 4-0 on April 24, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fanfulla have 6 wins, 3 draws and 6 defeats; ASD Sasso Marconi have 3, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 14, 2022 | Ghivizzano Borgo Mozzano(away) | 1-2 | Serie D - Girone D |
| Apr 10, 2022 | Seravezza(home) | 2-0 | Serie D - Girone D |
| Apr 3, 2022 | Rimini(away) | 1-2 | Serie D - Girone D |
| Mar 30, 2022 | Athletic Carpi(home) | 1-2 | Serie D - Girone D |
| Mar 26, 2022 | Aglianese(away) | 0-0 | Serie D - Girone D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 20, 2022 | Borgo San Donnino(away) | 0-1 | Serie D - Girone D |
| Apr 14, 2022 | Real Forte Querceta(home) | 3-1 | Serie D - Girone D |
| Apr 10, 2022 | Mezzolara(away) | 1-2 | Serie D - Girone D |
| Mar 27, 2022 | Tritium(home) | 1-2 | Serie D - Girone D |
| Mar 13, 2022 | Sammaurese(away) | 0-2 | Serie D - Girone D |
What does the head-to-head say?
Across the last 1 meetings: 1 Fanfulla win(s), 0 draw(s), 0 ASD Sasso Marconi win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 8, 2021 | ASD Sasso Marconi 0-3 Fanfulla | Serie D - Girone D |
Last archived meeting: ASD Sasso Marconi vs Fanfulla on Dec 8, 2021
How many goals should we expect?
Fanfulla score 1.1 and concede 1.0 goals per match over their last 15; ASD Sasso Marconi score 0.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fanfulla | 1.1 | 1.0 | 4 | 9/15 | 7/15 |
| ASD Sasso Marconi | 0.7 | 1.5 | 3 | 5/15 | 7/15 |
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