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 |
A question about USD Palmese vs Lupa Roma?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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