USD Palmese vs Arzachena: result 1-3 and analysis
Serie D - Girone GGroup G - 15Kick-off on December 11, 2022 at 01:00 PM (UTC)Stadio Comunale Di Palma Campania, Palma Campania
Full time
What was the result of USD Palmese vs Arzachena?
Arzachena won 1-3 on December 11, 2022.
Goalscorers
- 24′?Arzachena
- 24′?Arzachena
- 27′56343Arzachena
- 37′E. AllegraUSD Palmese
What is the recent form of both teams?
Over their last 15 matches in all competitions, USD Palmese have 6 wins, 5 draws and 4 defeats; Arzachena have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 4, 2022 | Vis Artena(away) | 0-0 | Serie D - Girone G |
| Nov 27, 2022 | Tivoli(home) | 2-0 | Serie D - Girone G |
| Nov 20, 2022 | Pomezia(away) | 1-2 | Serie D - Girone G |
| Nov 13, 2022 | Lupa Roma(home) | 2-3 | Serie D - Girone G |
| Nov 5, 2022 | Real Monterotondo(away) | 1-2 | Serie D - Girone G |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 3, 2022 | Aprilia(home) | 1-2 | Serie D - Girone G |
| Nov 27, 2022 | Angri Calcio(away) | 2-1 | Serie D - Girone G |
| Nov 20, 2022 | Portici(home) | 3-0 | Serie D - Girone G |
| Nov 13, 2022 | Casertana(away) | 0-0 | Serie D - Girone G |
| Nov 6, 2022 | Atletico Uri(home) | 0-1 | Serie D - Girone G |
How many goals should we expect?
USD Palmese score 1.5 and concede 1.1 goals per match over their last 15; Arzachena score 1.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| USD Palmese | 1.5 | 1.1 | 6 | 9/15 | 8/15 |
| Arzachena | 1.5 | 1.3 | 3 | 10/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | USD Palmese | 34 | 11 | 12 | 11 | 41 | 43 | 45 |
A question about USD Palmese 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