Corticella vs Ravenna: result 0-2 and analysis
Serie D - Girone DGroup D - 22Kick-off on February 4, 2024 at 01:30 PM (UTC)Centro Sportivo Biavato, Bologna
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What was the result of Corticella vs Ravenna?
Ravenna won 0-2 on February 4, 2024.
Goalscorers
- 3′?Ravenna
- 41′?Ravenna
What is the recent form of both teams?
Over their last 15 matches in all competitions, Corticella have 9 wins, 3 draws and 3 defeats; Ravenna have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 28, 2024 | Lentigione(home) | 2-1 | Serie D - Girone D |
| Jan 21, 2024 | Sangiuliano City(away) | 1-1 | Serie D - Girone D |
| Jan 14, 2024 | Fanfulla(home) | 0-0 | Serie D - Girone D |
| Jan 7, 2024 | Sant'Angelo(away) | 4-1 | Serie D - Girone D |
| Dec 20, 2023 | Prato(away) | 2-1 | Serie D - Girone D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 28, 2024 | Fanfulla(home) | 1-2 | Serie D - Girone D |
| Jan 21, 2024 | Sant'Angelo(away) | 1-1 | Serie D - Girone D |
| Jan 14, 2024 | Prato(home) | 4-0 | Serie D - Girone D |
| Jan 7, 2024 | Pistoiese(away) | 3-0 | Serie D - Girone D |
| Dec 20, 2023 | Imolese(away) | 1-0 | Serie D - Girone D |
What does the head-to-head say?
Across the last 3 meetings: 2 Corticella win(s), 0 draw(s), 1 Ravenna win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 8, 2023 | Ravenna 3-0 Corticella | Serie D - Girone D |
| Mar 12, 2023 | Corticella 1-0 Ravenna | Serie D - Girone D |
| Nov 6, 2022 | Ravenna 1-3 Corticella | Serie D - Girone D |
How many goals should we expect?
Corticella score 1.6 and concede 0.9 goals per match over their last 15; Ravenna score 1.8 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Corticella | 1.6 | 0.9 | 5 | 8/15 | 8/15 |
| Ravenna | 1.8 | 0.5 | 10 | 5/15 | 7/15 |
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