Aprilia vs Arzachena: result 0-1 and analysis
Serie D - Girone GGroup G - 13Kick-off on December 8, 2021 at 01:30 PM (UTC)Stadio Quinto Ricci, Aprilia
Full time
What was the result of Aprilia vs Arzachena?
Arzachena won 0-1 on December 8, 2021.
Goalscorers
- 60′56343Arzachena
What is the recent form of both teams?
Over their last 15 matches in all competitions, Aprilia have 10 wins, 3 draws and 2 defeats; Arzachena have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 4, 2021 | Cassino(away) | 2-0 | Serie D - Girone G |
| Nov 28, 2021 | Ostia Mare(home) | 1-1 | Serie D - Girone G |
| Nov 21, 2021 | Giugliano(away) | 1-1 | Serie D - Girone G |
| Nov 14, 2021 | Albalonga(home) | 1-2 | Serie D - Girone G |
| Nov 7, 2021 | Insieme Formia(away) | 4-0 | Serie D - Girone G |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 4, 2021 | Carbonia(home) | 1-0 | Serie D - Girone G |
| Nov 24, 2021 | Muravera(away) | 3-1 | Serie D - Girone G |
| Nov 21, 2021 | Team Nuova Florida(home) | 1-2 | Serie D - Girone G |
| Nov 7, 2021 | Torres(away) | 0-1 | Serie D - Girone G |
| Oct 31, 2021 | Real Monterotondo(home) | 0-0 | Serie D - Girone G |
What does the head-to-head say?
Across the last 2 meetings: 1 Aprilia win, 1 draw, 0 Arzachena wins.
| Date | Score | Competition |
|---|---|---|
| Jan 12, 2020 | Aprilia 1-1 Arzachena | Serie D - Girone G |
| Sep 18, 2019 | Arzachena 0-1 Aprilia | Serie D - Girone G |
How many goals should we expect?
Aprilia score 1.9 and concede 0.9 goals per match over their last 15; Arzachena score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Aprilia | 1.9 | 0.9 | 7 | 8/15 | 8/15 |
| Arzachena | 1.1 | 1.5 | 4 | 6/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Aprilia vs Arzachena?
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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