USD Palmese vs Angri Calcio: result 3-1 and analysis
Serie D - Girone GGroup G - 2Kick-off on September 11, 2022 at 01:00 PM (UTC)Stadio Comunale Di Palma Campania, Palma Campania
Full time
What was the result of USD Palmese vs Angri Calcio?
USD Palmese won 3-1 on September 11, 2022.
Goalscorers
- 11′90349USD Palmese (pen.)
- 30′Nicola LeoneAngri Calcio
- 50′A. ManciniUSD Palmese
- 76′?USD Palmese
What is the recent form of both teams?
Over their last 2 matches in all competitions, USD Palmese have 0 wins, 2 draws and 0 defeats; Angri Calcio have 1, 2 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 4, 2022 | Portici(away) | 2-2 | Serie D - Girone G |
| Aug 21, 2022 | Angri Calcio(away) | 0-0 | Coppa Italia Serie D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 4, 2022 | Aprilia(home) | 2-1 | Serie D - Girone G |
| Aug 27, 2022 | Francavilla(away) | 2-2 | Coppa Italia Serie D |
| Aug 21, 2022 | USD Palmese(home) | 0-0 | Coppa Italia Serie D |
What does the head-to-head say?
In the last meeting: 0 USD Palmese wins, 1 draw, 0 Angri Calcio wins.
| Date | Score | Competition |
|---|---|---|
| Aug 21, 2022 | Angri Calcio 0-0 USD Palmese | Coppa Italia Serie D |
Last archived meeting: Angri Calcio vs USD Palmese on Aug 21, 2022
How many goals should we expect?
USD Palmese score 1.0 and concede 1.0 goals per match over their last 2; Angri Calcio score 1.3 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| USD Palmese | 1.0 | 1.0 | 1 | 1/2 | 1/2 |
| Angri Calcio | 1.3 | 1.0 | 1 | 2/3 | 2/3 |
Over the last 2 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 Angri Calcio?
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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