Licata vs Messina: result 0-0 and analysis
Serie D - Girone IMatchday 9Kick-off on October 27, 2019 at 12:30 PM (UTC)Stadio Comunale Saraceno, Ravanusa
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What was the result of Licata vs Messina?
Licata and Messina drew 0-0 on October 27, 2019.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Licata have 4 wins, 2 draws and 2 defeats; Messina have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2019 | Palermo(away) | 1-2 | Serie D - Girone I |
| Oct 13, 2019 | Savoia(home) | 0-2 | Serie D - Girone I |
| Oct 6, 2019 | Corigliano Calabro(away) | 1-0 | Serie D - Girone I |
| Sep 29, 2019 | Nola 1925(home) | 1-1 | Serie D - Girone I |
| Sep 22, 2019 | Palmese(away) | 2-1 | Serie D - Girone I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2019 | Roccella(home) | 1-0 | Serie D - Girone I |
| Oct 13, 2019 | Cittanovese(away) | 1-2 | Serie D - Girone I |
| Oct 6, 2019 | Marsala(home) | 0-0 | Serie D - Girone I |
| Sep 29, 2019 | Marina di Ragusa(away) | 1-0 | Serie D - Girone I |
| Sep 22, 2019 | Castrovillari(home) | 3-1 | Serie D - Girone I |
How many goals should we expect?
Licata score 1.5 and concede 1.1 goals per match over their last 8; Messina score 1.2 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Licata | 1.5 | 1.1 | 2 | 5/8 | 4/8 |
| Messina | 1.2 | 0.9 | 7 | 6/15 | 5/15 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Licata | 11 | 4 | 2 | 5 | 11 | 22 | 14 |
A question about Licata vs Messina?
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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