Forli vs Crema: result 2-1 and analysis
Serie D - Girone DRegular Season - 8Kick-off on October 20, 2019 at 01:00 PM (UTC)Stadio Tullo Morgagni, Forlì
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What was the result of Forli vs Crema?
Forli won 2-1 on October 20, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Forli have 2 wins, 7 draws and 6 defeats; Crema have 4, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2019 | Fiorenzuola(away) | 0-1 | Serie D - Girone D |
| Oct 6, 2019 | Mantova(home) | 1-1 | Serie D - Girone D |
| Sep 29, 2019 | Mezzolara(away) | 1-3 | Serie D - Girone D |
| Sep 22, 2019 | Sasso Marconi Zola(home) | 1-0 | Serie D - Girone D |
| Sep 15, 2019 | Fanfulla(away) | 1-2 | Serie D - Girone D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 22, 2019 | Sammaurese(away) | 3-1 | Serie D - Girone D |
| Sep 16, 2019 | Calvina(home) | 1-0 | Serie D - Girone D |
How many goals should we expect?
Forli score 0.7 and concede 1.1 goals per match over their last 15; Crema score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Forli | 0.7 | 1.1 | 5 | 7/15 | 4/15 |
| Crema | 1.3 | 1.3 | 3 | 3/7 | 4/7 |
Over the last 15 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 Forli 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