Sant'Angelo vs Ravenna: result 0-1 and analysis
Serie D - Girone DGroup D - 13Kick-off on November 13, 2022 at 01:30 PM (UTC)Stadio Carlo Chiesa, Sant'Angelo Lodigiano
Full time
What was the result of Sant'Angelo vs Ravenna?
Ravenna won 0-1 on November 13, 2022.
Goalscorers
- 63′?Ravenna
What is the recent form of both teams?
Over their last 13 matches in all competitions, Sant'Angelo have 3 wins, 3 draws and 7 defeats; Ravenna have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2022 | Crema(away) | 3-0 | Serie D - Girone D |
| Oct 30, 2022 | Lentigione(home) | 1-1 | Serie D - Girone D |
| Oct 23, 2022 | Scandicci(away) | 2-3 | Serie D - Girone D |
| Oct 16, 2022 | Mezzolara(home) | 2-0 | Serie D - Girone D |
| Oct 9, 2022 | United Riccione(away) | 1-3 | Serie D - Girone D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2022 | Corticella(home) | 1-3 | Serie D - Girone D |
| Oct 30, 2022 | Sammaurese(home) | 0-2 | Serie D - Girone D |
| Oct 23, 2022 | United Riccione(away) | 0-0 | Serie D - Girone D |
| Oct 16, 2022 | Real Forte Querceta(home) | 1-0 | Serie D - Girone D |
| Oct 9, 2022 | Correggese(away) | 1-1 | Serie D - Girone D |
How many goals should we expect?
Sant'Angelo score 1.2 and concede 1.8 goals per match over their last 13; Ravenna score 1.3 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sant'Angelo | 1.2 | 1.8 | 4 | 7/13 | 7/13 |
| Ravenna | 1.3 | 1.6 | 3 | 11/15 | 9/15 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Sant'Angelo | 7 | 2 | 2 | 3 | 7 | 8 | 8 |
A question about Sant'Angelo vs Ravenna?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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