Santa Maria Cilento vs Ragusa: result 3-4 and analysis
Serie D - Girone IGroup I - 12Kick-off on November 20, 2022 at 01:30 PM (UTC)Campo Sportivo Antonio Carrano, Santa Maria di Castellabate
Full time
What was the result of Santa Maria Cilento vs Ragusa?
Ragusa won 3-4 on November 20, 2022.
Goalscorers
- 17′?Santa Maria Cilento
- 18′?Ragusa
- 23′?Santa Maria Cilento
- 43′?Ragusa
- 45′?Ragusa
- 66′?Santa Maria Cilento
- 90′?Ragusa
What is the recent form of both teams?
Over their last 15 matches in all competitions, Santa Maria Cilento have 6 wins, 4 draws and 5 defeats; Ragusa have 5, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 13, 2022 | Trapani 1905(away) | 1-2 | Serie D - Girone I |
| Nov 6, 2022 | Castrovillari(away) | 1-1 | Serie D - Girone I |
| Oct 23, 2022 | Sancataldese(away) | 0-0 | Serie D - Girone I |
| Oct 19, 2022 | Acireale(home) | 1-0 | Serie D - Girone I |
| Oct 16, 2022 | Lamezia Terme(away) | 1-0 | Serie D - Girone I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 13, 2022 | Real Normanna(home) | 2-1 | Serie D - Girone I |
| Nov 6, 2022 | Sancataldese(away) | 0-3 | Serie D - Girone I |
| Oct 30, 2022 | Acireale(home) | 2-2 | Serie D - Girone I |
| Oct 26, 2022 | Acireale(away) | 0-3 | Coppa Italia Serie D |
| Oct 23, 2022 | Lamezia Terme(away) | 0-3 | Serie D - Girone I |
How many goals should we expect?
Santa Maria Cilento score 1.4 and concede 1.3 goals per match over their last 15; Ragusa score 1.2 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Santa Maria Cilento | 1.4 | 1.3 | 5 | 7/15 | 8/15 |
| Ragusa | 1.2 | 1.5 | 4 | 5/13 | 7/13 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Ragusa | 34 | 7 | 13 | 14 | 23 | 34 | 34 |
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