Ragusa vs Sambiase: result 0-1 and analysis
Serie D - Girone IGroup I - 9Kick-off on October 27, 2024 at 01:30 PM (UTC)Stadio Aldo Campo, Ragusa
Full time
What was the result of Ragusa vs Sambiase?
Sambiase won 0-1 on October 27, 2024.
Goalscorers
- 47′G. ZerboSambiase
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ragusa have 4 wins, 6 draws and 5 defeats; Sambiase have 3, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2024 | Akragas(away) | 2-2 | Serie D - Girone I |
| Oct 20, 2024 | Paternò(home) | 0-0 | Serie D - Girone I |
| Oct 13, 2024 | Enna(away) | 0-0 | Serie D - Girone I |
| Oct 6, 2024 | Licata(home) | 3-0 | Serie D - Girone I |
| Sep 29, 2024 | Reggina(away) | 0-1 | Serie D - Girone I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2024 | CastrumFavara(home) | 1-1 | Serie D - Girone I |
| Oct 20, 2024 | Scafatese(away) | 0-0 | Serie D - Girone I |
| Oct 13, 2024 | Locri 1909(home) | 0-1 | Serie D - Girone I |
| Oct 6, 2024 | Sancataldese(away) | 2-2 | Serie D - Girone I |
| Sep 29, 2024 | Nissa(home) | 1-1 | Serie D - Girone I |
How many goals should we expect?
Ragusa score 1.1 and concede 1.0 goals per match over their last 15; Sambiase score 0.8 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ragusa | 1.1 | 1.0 | 5 | 5/15 | 6/15 |
| Sambiase | 0.8 | 1.0 | 4 | 4/10 | 2/10 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Ragusa sit 16th in Serie D - Girone I (3 points from 7 matches) and Sambiase sit 2nd (16 points from 7 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Sambiase | 7 | 5 | 1 | 1 | 11 | 5 | 16 |
| 16 | Ragusa | 7 | 0 | 3 | 4 | 5 | 10 | 3 |
A question about Ragusa vs Sambiase?
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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