Corigliano Calabro vs Licata: result 0-1 and analysis
Serie D - Girone IRegular Season - 6Kick-off on October 6, 2019 at 01:00 PM (UTC)Stadio Comunale di Corigliano, Corigliano Calabro
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What was the result of Corigliano Calabro vs Licata?
Licata won 0-1 on October 6, 2019.
What is the recent form of both teams?
Over their last 5 matches in all competitions, Corigliano Calabro have 2 wins, 1 draw and 2 defeats; Licata have 3, 2 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2019 | Biancavilla(away) | 0-2 | Serie D - Girone I |
| Sep 22, 2019 | Cittanovese(home) | 0-1 | Serie D - Girone I |
| Sep 15, 2019 | FC Messina(away) | 2-1 | Serie D - Girone I |
| Sep 8, 2019 | Marina di Ragusa(home) | 2-1 | Serie D - Girone I |
| Sep 1, 2019 | Roccella(away) | 1-1 | Serie D - Girone I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2019 | Nola 1925(home) | 1-1 | Serie D - Girone I |
| Sep 22, 2019 | Palmese(away) | 2-1 | Serie D - Girone I |
| Sep 15, 2019 | Biancavilla(home) | 3-0 | Serie D - Girone I |
| Sep 8, 2019 | Cittanovese(home) | 3-2 | Serie D - Girone I |
| Sep 1, 2019 | FC Messina(away) | 1-1 | Serie D - Girone I |
How many goals should we expect?
Corigliano Calabro score 1.0 and concede 1.2 goals per match over their last 5; Licata score 2.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Corigliano Calabro | 1.0 | 1.2 | 0 | 3/5 | 2/5 |
| Licata | 2.0 | 1.0 | 1 | 4/5 | 3/5 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Licata | 7 | 4 | 2 | 1 | 10 | 9 | 14 |
A question about Corigliano Calabro vs Licata?
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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