Sancataldese vs Sambiase: result 2-2 and analysis
Serie D - Girone IGroup I - 5Kick-off on October 6, 2024 at 01:00 PM (UTC)Stadio Valentino Mazzola, San Cataldo
Full time
What was the result of Sancataldese vs Sambiase?
Sancataldese and Sambiase drew 2-2 on October 6, 2024.
Goalscorers
- 23′?Sambiase
- 55′?Sancataldese
- 60′?Sancataldese
- 63′?Sambiase
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sancataldese have 2 wins, 6 draws and 7 defeats; Sambiase have 3, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2024 | Akragas(away) | 0-1 | Serie D - Girone I |
| Sep 22, 2024 | Paternò(home) | 1-1 | Serie D - Girone I |
| Sep 15, 2024 | Enna(away) | 0-0 | Serie D - Girone I |
| Sep 8, 2024 | Licata(home) | 2-2 | Serie D - Girone I |
| Aug 25, 2024 | Siracusa(away) | 0-2 | Coppa Italia Serie D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2024 | Nissa(home) | 1-1 | Serie D - Girone I |
| Sep 22, 2024 | Pompei(away) | 0-2 | Serie D - Girone I |
| Sep 15, 2024 | Vibonese(away) | 1-0 | Serie D - Girone I |
| Sep 8, 2024 | Siracusa(home) | 1-0 | Serie D - Girone I |
| Sep 1, 2024 | Casarano(away) | 1-3 | Coppa Italia Serie D |
How many goals should we expect?
Sancataldese score 0.7 and concede 1.1 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 |
|---|---|---|---|---|---|
| Sancataldese | 0.7 | 1.1 | 6 | 4/15 | 5/15 |
| Sambiase | 0.8 | 1.0 | 3 | 2/6 | 1/6 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Sambiase | 9 | 6 | 2 | 1 | 13 | 6 | 20 |
A question about Sancataldese 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