Sancataldese vs Canicattì: result 0-2 and analysis
Serie D - Girone IGroup I - 3Kick-off on October 2, 2022 at 01:00 PM (UTC)Stadio Valentino Mazzola, San Cataldo
Full time
What was the result of Sancataldese vs Canicattì?
Canicattì won 0-2 on October 2, 2022.
Goalscorers
- 49′?Canicattì
- 57′?Canicattì
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sancataldese have 5 wins, 3 draws and 7 defeats; Canicattì have 1, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2022 | Cittanova Interpiana(away) | 1-0 | Serie D - Girone I |
| Sep 18, 2022 | Città Di Sant’Agata(home) | 1-2 | Serie D - Girone I |
| Aug 28, 2022 | Paternò(home) | 0-5 | Coppa Italia Serie D |
| Aug 21, 2022 | Catania(home) | 0-0 | Coppa Italia Serie D |
| May 22, 2022 | Portici(away) | 1-6 | Serie D - Girone I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2022 | Acireale(home) | 2-0 | Serie D - Girone I |
| Sep 24, 2022 | Ragusa(away) | 1-1 | Coppa Italia Serie D |
| Sep 18, 2022 | Lamezia Terme(away) | 0-1 | Serie D - Girone I |
How many goals should we expect?
Sancataldese score 0.9 and concede 1.5 goals per match over their last 15; Canicattì score 1.0 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sancataldese | 0.9 | 1.5 | 6 | 4/15 | 6/15 |
| Canicattì | 1.0 | 0.7 | 1 | 1/3 | 0/3 |
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 | Sancataldese | 34 | 7 | 8 | 19 | 31 | 49 | 29 |
A question about Sancataldese vs Canicattì?
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