Crema vs Ravenna: result 1-2 and analysis
Serie D - Girone DGroup D - 6Kick-off on October 2, 2022 at 01:00 PM (UTC)Stadio Giuseppe Voltini, Crema
Full time
What was the result of Crema vs Ravenna?
Ravenna won 1-2 on October 2, 2022.
Goalscorers
- 42′?Crema
- 55′?Ravenna
- 60′?Ravenna
What is the recent form of both teams?
Over their last 15 matches in all competitions, Crema have 2 wins, 5 draws and 8 defeats; Ravenna have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2022 | Aglianese(away) | 0-3 | Serie D - Girone D |
| Sep 21, 2022 | Corticella(home) | 4-2 | Serie D - Girone D |
| Sep 18, 2022 | Pistoiese(away) | 1-1 | Serie D - Girone D |
| Sep 11, 2022 | Lentigione(home) | 1-1 | Serie D - Girone D |
| Sep 4, 2022 | Fanfulla(away) | 1-3 | Serie D - Girone D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2022 | Fanfulla(home) | 1-1 | Serie D - Girone D |
| Sep 21, 2022 | Aglianese(away) | 2-2 | Serie D - Girone D |
| Sep 18, 2022 | Salsomaggiore(home) | 2-2 | Serie D - Girone D |
| Sep 11, 2022 | Scandicci(away) | 2-1 | Serie D - Girone D |
| Sep 4, 2022 | Prato(home) | 1-2 | Serie D - Girone D |
How many goals should we expect?
Crema score 1.2 and concede 2.1 goals per match over their last 15; Ravenna score 1.5 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Crema | 1.2 | 2.1 | 1 | 11/15 | 10/15 |
| Ravenna | 1.5 | 1.4 | 5 | 8/15 | 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 Crema vs Ravenna?
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