Crema vs Franciacorta: result 1-2 and analysis
Serie D - Girone DRegular Season - 11Kick-off on November 10, 2019 at 01:30 PM (UTC)Stadio Giuseppe Voltini, Crema
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What was the result of Crema vs Franciacorta?
Franciacorta won 1-2 on November 10, 2019.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Crema have 4 wins, 2 draws and 4 defeats; Franciacorta have 4, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2019 | Fanfulla(away) | 1-2 | Serie D - Girone D |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2019 | Ciliverghe(home) | 4-2 | Serie D - Girone D |
| Oct 27, 2019 | Mezzolara(away) | 4-1 | Serie D - Girone D |
| Oct 20, 2019 | Breno(home) | 4-2 | Serie D - Girone D |
| Oct 13, 2019 | Mantova(away) | 2-4 | Serie D - Girone D |
| Oct 6, 2019 | Alfonsine(home) | 1-2 | Serie D - Girone D |
How many goals should we expect?
Crema score 1.3 and concede 1.5 goals per match over their last 10; Franciacorta score 2.3 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Crema | 1.3 | 1.5 | 3 | 6/10 | 7/10 |
| Franciacorta | 2.3 | 1.8 | 0 | 10/10 | 7/10 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Crema | 8 | 2 | 2 | 4 | 8 | 15 | 8 |
A question about Crema vs Franciacorta?
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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