Acireale vs Santa Maria Cilento: result 3-2 and analysis
Serie D - Girone IGroup I - 5Kick-off on October 10, 2021 at 01:00 PM (UTC)Stadio Tupparello, Acireale
Full time
What was the result of Acireale vs Santa Maria Cilento?
Acireale won 3-2 on October 10, 2021.
Goalscorers
- 2′F. LodiAcireale
- 9′?Acireale
- 45′?Santa Maria Cilento
- 48′?Santa Maria Cilento
- 62′?Acireale
What is the recent form of both teams?
Over their last 15 matches in all competitions, Acireale have 7 wins, 4 draws and 4 defeats; Santa Maria Cilento have 2, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 3, 2021 | Rende(home) | 0-0 | Serie D - Girone I |
| Sep 26, 2021 | FC Messina(away) | 0-0 | Serie D - Girone I |
| Sep 22, 2021 | Giarre(home) | 1-1 | Coppa Italia Serie D |
| Sep 19, 2021 | Cittanova Interpiana(home) | 1-0 | Serie D - Girone I |
| Mar 1, 2020 | FC Messina(home) | 0-0 | Serie D - Girone I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2021 | Paternò(home) | 1-1 | Serie D - Girone I |
| Oct 3, 2021 | Cavese(away) | 0-1 | Serie D - Girone I |
| Sep 26, 2021 | Lamezia Terme(home) | 0-0 | Serie D - Girone I |
| Sep 22, 2021 | Gelbison(away) | 1-0 | Coppa Italia Serie D |
| Sep 19, 2021 | Real Normanna(away) | 3-0 | Serie D - Girone I |
How many goals should we expect?
Acireale score 1.4 and concede 1.1 goals per match over their last 15; Santa Maria Cilento score 1.0 and concede 0.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Acireale | 1.4 | 1.1 | 5 | 9/15 | 8/15 |
| Santa Maria Cilento | 1.0 | 0.4 | 3 | 1/5 | 1/5 |
Over the last 15 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 Santa Maria Cilento?
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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