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?
In the last meeting: 1 Fanfulla win, 0 draws, 0 ASD Sasso Marconi wins.
| 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.
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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