Fanfulla vs Crema: result 2-1 and analysis
Serie D - Girone DRegular Season - 10Kick-off on November 3, 2019 at 01:30 PM (UTC)Stadio Dossenina, Lodi
Full time
What was the result of Fanfulla vs Crema?
Fanfulla won 2-1 on November 3, 2019.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Fanfulla have 3 wins, 4 draws and 3 defeats; Crema have 4, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | Fiorenzuola(away) | 1-1 | Serie D - Girone D |
| Oct 20, 2019 | Mantova(home) | 0-1 | Serie D - Girone D |
| Oct 13, 2019 | Mezzolara(away) | 1-1 | Serie D - Girone D |
| Oct 6, 2019 | Sasso Marconi Zola(away) | 0-2 | Serie D - Girone D |
| Sep 29, 2019 | Franciacorta(home) | 1-1 | Serie D - Girone D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | Mantova(home) | 2-2 | Serie D - Girone D |
| Oct 20, 2019 | Forli(away) | 1-2 | Serie D - Girone D |
| Oct 13, 2019 | Sasso Marconi Zola(home) | 2-2 | Serie D - Girone D |
| Oct 6, 2019 | Vigor Carpaneto(away) | 1-0 | Serie D - Girone D |
| Sep 29, 2019 | Lentigione(home) | 0-4 | Serie D - Girone D |
How many goals should we expect?
Fanfulla score 1.2 and concede 1.4 goals per match over their last 10; Crema score 1.3 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fanfulla | 1.2 | 1.4 | 1 | 6/10 | 4/10 |
| Crema | 1.3 | 1.4 | 3 | 5/9 | 6/9 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Crema | 7 | 1 | 2 | 4 | 4 | 14 | 5 |
A question about Fanfulla vs Crema?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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