Forli vs Ravenna: result 1-2 and analysis
Serie D - Girone DGroup D - 35Kick-off on April 16, 2023 at 01:30 PM (UTC)Stadio Tullo Morgagni, Forlì
Full time
What was the result of Forli vs Ravenna?
Ravenna won 1-2 on April 16, 2023.
Goalscorers
- 6′?Ravenna
- 13′?Forli
- 80′?Ravenna
What is the recent form of both teams?
Over their last 15 matches in all competitions, Forli have 5 wins, 5 draws and 5 defeats; Ravenna have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 6, 2023 | Aglianese(away) | 0-1 | Serie D - Girone D |
| Apr 2, 2023 | Correggese(home) | 1-2 | Serie D - Girone D |
| Mar 19, 2023 | Real Forte Querceta(away) | 0-2 | Serie D - Girone D |
| Mar 12, 2023 | Mezzolara(home) | 2-2 | Serie D - Girone D |
| Mar 5, 2023 | Fanfulla(away) | 3-0 | Serie D - Girone D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 6, 2023 | Bagnolese BP(home) | 0-1 | Serie D - Girone D |
| Apr 1, 2023 | Mezzolara(away) | 1-1 | Serie D - Girone D |
| Mar 19, 2023 | Sant'Angelo(home) | 2-0 | Serie D - Girone D |
| Mar 12, 2023 | Corticella(away) | 0-1 | Serie D - Girone D |
| Mar 5, 2023 | Sammaurese(away) | 2-1 | Serie D - Girone D |
What does the head-to-head say?
Across the last 3 meetings: 1 Forli win(s), 0 draw(s), 2 Ravenna win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 4, 2022 | Ravenna 2-1 Forli | Serie D - Girone D |
| Apr 3, 2022 | Forli 2-0 Ravenna | Serie D - Girone D |
| Nov 21, 2021 | Ravenna 2-1 Forli | Serie D - Girone D |
How many goals should we expect?
Forli score 1.2 and concede 1.0 goals per match over their last 15; Ravenna score 1.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Forli | 1.2 | 1.0 | 6 | 7/15 | 9/15 |
| Ravenna | 1.3 | 0.9 | 6 | 7/15 | 5/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy