Prato vs Ravenna: result 1-4 and analysis
Serie D - Girone DGroup D - 29Kick-off on March 26, 2022 at 02:00 PM (UTC)Stadio Lungobisenzio, Prato
Full time
What was the result of Prato vs Ravenna?
Ravenna won 1-4 on March 26, 2022.
Goalscorers
- 9′S. SaporettiRavenna
- 13′S. SaporettiRavenna
- 44′Marco GuidoneRavenna
- 58′?Ravenna
- 72′?Prato
What is the recent form of both teams?
Over their last 15 matches in all competitions, Prato have 4 wins, 4 draws and 7 defeats; Ravenna have 12, 3 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 13, 2022 | Forli(away) | 2-0 | Serie D - Girone D |
| Mar 6, 2022 | ASD Sasso Marconi(away) | 1-0 | Serie D - Girone D |
| Feb 27, 2022 | Bagnolese BP(home) | 0-0 | Serie D - Girone D |
| Feb 20, 2022 | Seravezza(away) | 1-2 | Serie D - Girone D |
| Feb 16, 2022 | Lentigione(home) | 2-2 | Serie D - Girone D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 13, 2022 | Aglianese(home) | 2-2 | Serie D - Girone D |
| Mar 6, 2022 | Bagnolese BP(away) | 3-0 | Serie D - Girone D |
| Feb 27, 2022 | Fanfulla(home) | 2-1 | Serie D - Girone D |
| Feb 20, 2022 | ASD Sasso Marconi(away) | 2-1 | Serie D - Girone D |
| Feb 16, 2022 | Correggese(home) | 3-1 | Serie D - Girone D |
What does the head-to-head say?
In the last meeting: 0 Prato wins, 0 draws, 1 Ravenna win.
| Date | Score | Competition |
|---|---|---|
| Nov 7, 2021 | Ravenna 4-1 Prato | Serie D - Girone D |
How many goals should we expect?
Prato score 1.1 and concede 1.3 goals per match over their last 15; Ravenna score 2.7 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Prato | 1.1 | 1.3 | 5 | 7/15 | 8/15 |
| Ravenna | 2.7 | 1.0 | 5 | 10/15 | 13/15 |
Over the last 15 matches in all competitions.
A question about Prato 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