Crema vs Mantova: result 2-2 and analysis
Serie D - Girone DRegular Season - 9Kick-off on October 27, 2019 at 12:30 PM (UTC)Stadio Giuseppe Voltini, Crema
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What was the result of Crema vs Mantova?
Crema and Mantova drew 2-2 on October 27, 2019.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Crema have 4 wins, 1 draw and 3 defeats; Mantova have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 22, 2019 | Sammaurese(away) | 3-1 | Serie D - Girone D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2019 | Fanfulla(away) | 1-0 | Serie D - Girone D |
| Oct 13, 2019 | Franciacorta(home) | 4-2 | Serie D - Girone D |
| Oct 6, 2019 | Forli(away) | 1-1 | Serie D - Girone D |
| Sep 29, 2019 | Sasso Marconi Zola(home) | 5-1 | Serie D - Girone D |
| Sep 22, 2019 | Vigor Carpaneto(away) | 3-1 | Serie D - Girone D |
How many goals should we expect?
Crema score 1.3 and concede 1.4 goals per match over their last 8; Mantova score 2.7 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Crema | 1.3 | 1.4 | 3 | 4/8 | 5/8 |
| Mantova | 2.7 | 1.4 | 2 | 12/15 | 10/15 |
Over the last 8 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 Crema vs Mantova?
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