Sancataldese vs Siracusa: result 1-6 and analysis
Serie D - Girone IGroup I - 3Kick-off on September 20, 2023 at 01:00 PM (UTC)Stadio Valentino Mazzola, San Cataldo
Full time
What was the result of Sancataldese vs Siracusa?
Siracusa won 1-6 on September 20, 2023.
Goalscorers
- 21′?Siracusa
- 35′?Siracusa
- 49′?Siracusa
- 51′?Siracusa
- 55′A. RussottoSiracusa
- 62′?Siracusa
- 84′G. ZerboSancataldese
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sancataldese have 6 wins, 4 draws and 5 defeats; Siracusa have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2023 | San Luca(away) | 1-2 | Serie D - Girone I |
| Sep 10, 2023 | Lamezia Terme(home) | 0-3 | Serie D - Girone I |
| Sep 3, 2023 | Acireale(home) | 0-0 | Coppa Italia Serie D |
| May 7, 2023 | Paternò(home) | 1-0 | Serie D - Girone I |
| Apr 30, 2023 | Locri 1909(away) | 1-0 | Serie D - Girone I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2023 | Locri 1909(home) | 3-2 | Serie D - Girone I |
| Sep 10, 2023 | Canicattì(away) | 1-1 | Serie D - Girone I |
| Aug 27, 2023 | Ragusa(home) | 1-2 | Coppa Italia Serie D |
| May 5, 2019 | Monopoli(away) | 1-4 | Serie C - Girone C |
| Apr 28, 2019 | Catanzaro(home) | 1-0 | Serie C - Girone C |
How many goals should we expect?
Sancataldese score 1.1 and concede 1.1 goals per match over their last 15; Siracusa score 1.2 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sancataldese | 1.1 | 1.1 | 7 | 5/15 | 6/15 |
| Siracusa | 1.2 | 1.1 | 6 | 6/15 | 7/15 |
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 |
|---|---|---|---|---|---|---|---|---|
| 17 | Sancataldese | 34 | 7 | 8 | 19 | 31 | 49 | 29 |
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