Sancataldese vs Ragusa: result 3-0 and analysis
Serie D - Girone IGroup I - 10Kick-off on November 6, 2022 at 01:30 PM (UTC)Stadio Valentino Mazzola, San Cataldo
Full time
What was the result of Sancataldese vs Ragusa?
Sancataldese won 3-0 on November 6, 2022.
Goalscorers
- 59′?Sancataldese
- 63′?Sancataldese
- 90′?Sancataldese
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sancataldese have 2 wins, 3 draws and 10 defeats; Ragusa have 4, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2022 | Trapani 1905(away) | 1-0 | Serie D - Girone I |
| Oct 23, 2022 | Santa Maria Cilento(home) | 0-0 | Serie D - Girone I |
| Oct 19, 2022 | Real Normanna(away) | 0-4 | Serie D - Girone I |
| Oct 16, 2022 | Castrovillari(away) | 0-1 | Serie D - Girone I |
| Oct 9, 2022 | Acireale(home) | 0-1 | Serie D - Girone I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Oct 19, 2022 | Canicattì(home) | 0-0 | Serie D - Girone I |
| Oct 16, 2022 | Cittanova Interpiana(away) | 4-1 | Serie D - Girone I |
How many goals should we expect?
Sancataldese score 0.5 and concede 2.0 goals per match over their last 15; Ragusa score 1.2 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sancataldese | 0.5 | 2.0 | 4 | 4/15 | 6/15 |
| Ragusa | 1.2 | 1.4 | 4 | 4/11 | 5/11 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 17 | Ragusa | 8 | 0 | 3 | 5 | 6 | 13 | 3 |
A question about Sancataldese vs Ragusa?
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