Manfredonia vs Angri Calcio: result 1-3 and analysis
Serie D - Girone HGroup H - 4Kick-off on October 1, 2023 at 01:30 PM (UTC)Stadio Miramare, Manfredonia
Full time
What was the result of Manfredonia vs Angri Calcio?
Angri Calcio won 1-3 on October 1, 2023.
Goalscorers
- 5′?Manfredonia
- 24′?Angri Calcio (pen.)
- 45′A. ManciniAngri Calcio
- 90′?Angri Calcio
What is the recent form of both teams?
Over their last 5 matches in all competitions, Manfredonia have 0 wins, 2 draws and 3 defeats; Angri Calcio have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2023 | Città di Fasano(away) | 0-0 | Serie D - Girone H |
| Sep 17, 2023 | Team Altamura(home) | 1-3 | Serie D - Girone H |
| Sep 10, 2023 | Martina Franca(away) | 0-2 | Serie D - Girone H |
| Sep 3, 2023 | San Marzano(home) | 2-3 | Coppa Italia Serie D |
| Aug 27, 2023 | Portici(away) | 0-0 | Coppa Italia Serie D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2023 | Gelbison(home) | 1-4 | Serie D - Girone H |
| Sep 17, 2023 | Matera(away) | 1-2 | Serie D - Girone H |
| Sep 10, 2023 | Bitonto(home) | 0-1 | Serie D - Girone H |
| Sep 3, 2023 | Nocerina(away) | 2-2 | Coppa Italia Serie D |
| Aug 27, 2023 | Gelbison(home) | 0-0 | Coppa Italia Serie D |
How many goals should we expect?
Manfredonia score 0.6 and concede 1.6 goals per match over their last 5; Angri Calcio score 1.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Manfredonia | 0.6 | 1.6 | 2 | 2/5 | 2/5 |
| Angri Calcio | 1.3 | 1.5 | 4 | 8/15 | 9/15 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Manfredonia | 7 | 3 | 2 | 2 | 10 | 9 | 11 |
A question about Manfredonia 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