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?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Siracusa | 11 | 6 | 3 | 2 | 18 | 10 | 14 |
A question about Sancataldese vs Siracusa?
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