Fanfulla vs Club Milano: result 0-1 and analysis
Serie D - Girone BGroup B - 19Kick-off on December 22, 2024 at 01:30 PM (UTC)Stadio Dossenina, Lodi
Full time
What was the result of Fanfulla vs Club Milano?
Club Milano won 0-1 on December 22, 2024.
Goalscorers
- 90′?Club Milano
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fanfulla have 3 wins, 6 draws and 6 defeats; Club Milano have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 15, 2024 | Sangiuliano City(away) | 1-0 | Serie D - Girone B |
| Dec 8, 2024 | Pro Palazzolo(away) | 0-3 | Serie D - Girone B |
| Dec 1, 2024 | Arconatese(home) | 2-1 | Serie D - Girone B |
| Nov 24, 2024 | Ospitaletto(away) | 0-4 | Serie D - Girone B |
| Nov 17, 2024 | Sondrio(home) | 0-1 | Serie D - Girone B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 15, 2024 | Crema(home) | 1-0 | Serie D - Girone B |
| Dec 8, 2024 | Ospitaletto(home) | 0-2 | Serie D - Girone B |
| Dec 1, 2024 | Folgore Caratese(away) | 1-2 | Serie D - Girone B |
| Nov 24, 2024 | Pro Sesto(home) | 1-2 | Serie D - Girone B |
| Nov 20, 2024 | Sant'Angelo(home) | 1-2 | Coppa Italia Serie D |
How many goals should we expect?
Fanfulla score 0.7 and concede 1.5 goals per match over their last 15; Club Milano score 0.9 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fanfulla | 0.7 | 1.5 | 5 | 5/15 | 5/15 |
| Club Milano | 0.9 | 1.2 | 5 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | Club Milano | 10 | 2 | 2 | 6 | 8 | 13 | 8 |
A question about Fanfulla vs Club Milano?
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