Acireale vs Corigliano Calabro: result 2-0 and analysis
Serie D - Girone IRegular Season - 14Kick-off on December 1, 2019 at 01:30 PM (UTC)Stadio Tupparello, Acireale
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What was the result of Acireale vs Corigliano Calabro?
Acireale won 2-0 on December 1, 2019.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Acireale have 6 wins, 4 draws and 3 defeats; Corigliano Calabro have 2, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2019 | Nola 1925(away) | 1-1 | Serie D - Girone I |
| Nov 17, 2019 | Licata(home) | 0-1 | Serie D - Girone I |
| Nov 10, 2019 | Biancavilla(away) | 1-1 | Serie D - Girone I |
| Nov 3, 2019 | Cittanovese(home) | 2-1 | Serie D - Girone I |
| Oct 27, 2019 | FC Messina(away) | 2-2 | Serie D - Girone I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2019 | Giugliano(away) | 1-5 | Serie D - Girone I |
| Nov 10, 2019 | Messina(home) | 1-4 | Serie D - Girone I |
| Nov 3, 2019 | Palermo(away) | 0-6 | Serie D - Girone I |
| Oct 27, 2019 | Savoia(home) | 0-0 | Serie D - Girone I |
| Oct 20, 2019 | Palmese(away) | 2-3 | Serie D - Girone I |
How many goals should we expect?
Acireale score 1.5 and concede 1.2 goals per match over their last 13; Corigliano Calabro score 0.9 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Acireale | 1.5 | 1.2 | 2 | 8/13 | 6/13 |
| Corigliano Calabro | 0.9 | 2.5 | 1 | 7/12 | 7/12 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Acireale | 34 | 7 | 12 | 15 | 37 | 49 | 32 |
A question about Acireale vs Corigliano Calabro?
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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