Ravenna vs Prato: result 1-2 and analysis
Serie D - Girone DGroup D - 1Kick-off on September 4, 2022 at 01:00 PM (UTC)Stadio Comunale Bruno Benelli, Ravenna
Full time
What was the result of Ravenna vs Prato?
Prato won 1-2 on September 4, 2022.
Goalscorers
- 65′?Prato
- 75′C. SciannamèPrato
- 90′?Ravenna
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ravenna have 9 wins, 1 draw and 5 defeats; Prato have 6, 6 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 28, 2022 | Adriese(away) | 1-3 | Coppa Italia Serie D |
| May 22, 2022 | Ghivizzano Borgo Mozzano(away) | 1-3 | Serie D - Girone D |
| May 15, 2022 | Borgo San Donnino(home) | 2-0 | Serie D - Girone D |
| May 8, 2022 | Progresso(home) | 5-0 | Serie D - Girone D |
| May 4, 2022 | Sammaurese(away) | 1-2 | Serie D - Girone D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 27, 2022 | Scandicci(away) | 1-1 | Coppa Italia Serie D |
| May 22, 2022 | Fanfulla(away) | 3-1 | Serie D - Girone D |
| May 15, 2022 | Aglianese(home) | 3-1 | Serie D - Girone D |
| May 8, 2022 | Correggese(away) | 0-2 | Serie D - Girone D |
| May 4, 2022 | Real Forte Querceta(home) | 1-1 | Serie D - Girone D |
What does the head-to-head say?
Across the last 2 meetings: 2 Ravenna wins, 0 draws, 0 Prato wins.
| Date | Score | Competition |
|---|---|---|
| Mar 26, 2022 | Prato 1-4 Ravenna | Serie D - Girone D |
| Nov 7, 2021 | Ravenna 4-1 Prato | Serie D - Girone D |
How many goals should we expect?
Ravenna score 1.8 and concede 1.2 goals per match over their last 15; Prato score 1.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ravenna | 1.8 | 1.2 | 6 | 7/15 | 10/15 |
| Prato | 1.3 | 0.9 | 6 | 8/15 | 5/15 |
Over the last 15 matches in all competitions.
A question about Ravenna vs Prato?
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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