Licata vs San Luca: result 2-0 and analysis
Serie D - Girone IGroup I - 4Kick-off on October 6, 2021 at 01:00 PM (UTC)Stadio Comunale Saraceno, Ravanusa
Full time
What was the result of Licata vs San Luca?
Licata won 2-0 on October 6, 2021.
Goalscorers
- 12′?Licata
- 82′?Licata
What is the recent form of both teams?
Over their last 15 matches in all competitions, Licata have 6 wins, 3 draws and 6 defeats; San Luca have 3, 1 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 3, 2021 | Gelbison(away) | 1-1 | Serie D - Girone I |
| Sep 26, 2021 | Biancavilla(away) | 2-3 | Serie D - Girone I |
| Sep 22, 2021 | Sancataldese(home) | 1-0 | Coppa Italia Serie D |
| Sep 19, 2021 | FC Messina(home) | 1-0 | Serie D - Girone I |
| Mar 1, 2020 | Messina(away) | 2-3 | Serie D - Girone I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 3, 2021 | FC Messina(home) | 1-0 | Serie D - Girone I |
| Sep 26, 2021 | Castrovillari(away) | 3-1 | Serie D - Girone I |
| Sep 22, 2021 | FC Messina(away) | 1-1 | Coppa Italia Serie D |
| Sep 19, 2021 | Biancavilla(home) | 2-1 | Serie D - Girone I |
How many goals should we expect?
Licata score 1.2 and concede 1.2 goals per match over their last 15; San Luca score 1.8 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Licata | 1.2 | 1.2 | 5 | 6/15 | 5/15 |
| San Luca | 1.8 | 0.8 | 1 | 3/4 | 2/4 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Licata | 7 | 4 | 2 | 1 | 10 | 9 | 14 |
A question about Licata vs San Luca?
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