Correggese vs Crema: result 4-3 and analysis
Serie D - Girone DRegular Season - 15Kick-off on December 8, 2019 at 01:30 PM (UTC)Stadio Comunale Walter Borelli, Correggio
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What was the result of Correggese vs Crema?
Correggese won 4-3 on December 8, 2019.
What is the recent form of both teams?
Over their last 14 matches in all competitions, Correggese have 6 wins, 5 draws and 3 defeats; Crema have 4, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 1, 2019 | Mantova(away) | 1-1 | Serie D - Girone D |
| Nov 24, 2019 | Mezzolara(home) | 1-3 | Serie D - Girone D |
| Nov 17, 2019 | Sasso Marconi Zola(away) | 2-2 | Serie D - Girone D |
| Nov 10, 2019 | Fanfulla(home) | 0-1 | Serie D - Girone D |
| Nov 3, 2019 | Lentigione(away) | 1-0 | Serie D - Girone D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 1, 2019 | Fiorenzuola(home) | 0-1 | Serie D - Girone D |
| Nov 24, 2019 | Progresso(away) | 1-1 | Serie D - Girone D |
| Nov 17, 2019 | Mezzolara(away) | 1-1 | Serie D - Girone D |
| Nov 10, 2019 | Franciacorta(home) | 1-2 | Serie D - Girone D |
| Nov 3, 2019 | Fanfulla(away) | 1-2 | Serie D - Girone D |
How many goals should we expect?
Correggese score 1.6 and concede 1.3 goals per match over their last 14; Crema score 1.1 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Correggese | 1.6 | 1.3 | 2 | 11/14 | 7/14 |
| Crema | 1.1 | 1.4 | 3 | 9/14 | 8/14 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
Correggese sit 8th in Serie D - Girone D (10 points from 7 matches) and Crema sit 15th (5 points from 7 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Correggese | 7 | 3 | 1 | 3 | 7 | 10 | 10 |
| 15 | Crema | 7 | 1 | 2 | 4 | 4 | 14 | 5 |
A question about Correggese vs Crema?
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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