USD Palmese vs Lupa Roma: result 2-3 and analysis
Serie D - Girone GGroup G - 11Kick-off on November 13, 2022 at 01:30 PM (UTC)Stadio Comunale Di Palma Campania, Palma Campania
Full time
What was the result of USD Palmese vs Lupa Roma?
Lupa Roma won 2-3 on November 13, 2022.
Goalscorers
- 13′Yuri SenesiLupa Roma
- 16′?Lupa Roma
- 21′?Lupa Roma
- 40′?USD Palmese
- 85′90349USD Palmese
What is the recent form of both teams?
Over their last 11 matches in all competitions, USD Palmese have 5 wins, 4 draws and 2 defeats; Lupa Roma 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 |
|---|---|---|---|
| Nov 5, 2022 | Real Monterotondo(away) | 1-2 | Serie D - Girone G |
| Oct 30, 2022 | Sarrabus Ogliastra(home) | 2-0 | Serie D - Girone G |
| Oct 23, 2022 | Cassino(away) | 2-1 | Serie D - Girone G |
| Oct 16, 2022 | Nola 1925(home) | 4-2 | Serie D - Girone G |
| Oct 9, 2022 | Paganese(away) | 1-0 | Serie D - Girone G |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 9, 2022 | Arezzo(home) | 1-2 | Coppa Italia Serie D |
| Nov 6, 2022 | Aprilia(home) | 3-1 | Serie D - Girone G |
| Oct 30, 2022 | Angri Calcio(away) | 1-1 | Serie D - Girone G |
| Oct 23, 2022 | Portici(home) | 1-0 | Serie D - Girone G |
| Oct 16, 2022 | Casertana(away) | 1-0 | Serie D - Girone G |
How many goals should we expect?
USD Palmese score 1.5 and concede 1.0 goals per match over their last 11; Lupa Roma score 1.3 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| USD Palmese | 1.5 | 1.0 | 4 | 7/11 | 6/11 |
| Lupa Roma | 1.3 | 0.8 | 7 | 7/15 | 6/15 |
Over the last 11 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 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy