Prato vs Crema: result 3-3 and analysis
Serie D - Girone DGroup D - 17Kick-off on December 11, 2022 at 01:30 PM (UTC)Stadio Lungobisenzio, Prato
Full time
What was the result of Prato vs Crema?
Prato and Crema drew 3-3 on December 11, 2022.
Goalscorers
- 6′Andrea Addiego MobilioPrato
- 44′Matteo ColombiPrato (pen.)
- 45′?Prato
- 48′?Crema (pen.)
- 55′?Crema
- 90′?Crema
What is the recent form of both teams?
Over their last 15 matches in all competitions, Prato have 7 wins, 4 draws and 4 defeats; Crema have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 7, 2022 | Seravezza(away) | 3-2 | Coppa Italia Serie D |
| Dec 3, 2022 | United Riccione(away) | 2-1 | Serie D - Girone D |
| Nov 27, 2022 | Lentigione(home) | 3-1 | Serie D - Girone D |
| Nov 20, 2022 | Real Forte Querceta(away) | 2-0 | Serie D - Girone D |
| Nov 13, 2022 | Corticella(home) | 4-2 | Serie D - Girone D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 7, 2022 | Derthona(away) | 1-1 | Coppa Italia Serie D |
| Dec 4, 2022 | Athletic Carpi(home) | 1-1 | Serie D - Girone D |
| Nov 28, 2022 | Giana Erminio(away) | 1-2 | Serie D - Girone D |
| Nov 20, 2022 | Salsomaggiore(home) | 3-1 | Serie D - Girone D |
| Nov 13, 2022 | United Riccione(away) | 2-1 | Serie D - Girone D |
How many goals should we expect?
Prato score 1.4 and concede 1.2 goals per match over their last 15; Crema score 1.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Prato | 1.4 | 1.2 | 4 | 8/15 | 6/15 |
| Crema | 1.5 | 1.5 | 2 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Crema | 7 | 1 | 2 | 4 | 4 | 14 | 5 |
A question about Prato 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