Fanfulla vs Crema: result 2-1 and analysis
Coppa Italia Serie D1st RoundKick-off on September 22, 2021 at 12:00 AM (UTC)Stadio Dossenina, Lodi
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What was the result of Fanfulla vs Crema?
Fanfulla won 2-1 on September 22, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fanfulla have 8 wins, 3 draws and 4 defeats; Crema have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 19, 2021 | Sammaurese(home) | 3-1 | Serie D - Girone D |
| Feb 16, 2020 | Mezzolara(home) | 1-1 | Serie D - Girone D |
| Feb 9, 2020 | Sasso Marconi Zola(home) | 2-1 | Serie D - Girone D |
| Feb 2, 2020 | Franciacorta(away) | 1-3 | Serie D - Girone D |
| Jan 26, 2020 | Lentigione(home) | 4-0 | Serie D - Girone D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 19, 2021 | Sona(away) | 0-1 | Serie D - Girone B |
| Feb 16, 2020 | Sasso Marconi Zola(away) | 2-1 | Serie D - Girone D |
| Feb 9, 2020 | Vigor Carpaneto(home) | 1-2 | Serie D - Girone D |
| Feb 2, 2020 | Lentigione(away) | 1-2 | Serie D - Girone D |
| Jan 26, 2020 | Sammaurese(home) | 1-1 | Serie D - Girone D |
What does the head-to-head say?
In the last meeting: 1 Fanfulla win, 0 draws, 0 Crema wins.
| Date | Score | Competition |
|---|---|---|
| Nov 3, 2019 | Fanfulla 2-1 Crema | Serie D - Girone D |
How many goals should we expect?
Fanfulla score 1.8 and concede 1.3 goals per match over their last 15; Crema score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fanfulla | 1.8 | 1.3 | 3 | 11/15 | 10/15 |
| Crema | 0.9 | 1.3 | 2 | 10/15 | 6/15 |
Over the last 15 matches in all competitions.
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