Francavilla vs Real Acerrana: result 1-2 and analysis
Serie D - Girone HGroup H - 11Kick-off on November 10, 2024 at 01:30 PM (UTC)Stadio Nunzio Fittipaldi, Francavilla in Sinni
Full time
What was the result of Francavilla vs Real Acerrana?
Real Acerrana won 1-2 on November 10, 2024.
Goalscorers
- 1′?Real Acerrana
- 27′?Francavilla
- 90′?Real Acerrana
What is the recent form of both teams?
Over their last 15 matches in all competitions, Francavilla have 3 wins, 5 draws and 7 defeats; Real Acerrana have 3, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2024 | Fidelis Andria(away) | 0-1 | Serie D - Girone H |
| Oct 27, 2024 | Ischia(home) | 0-2 | Serie D - Girone H |
| Oct 23, 2024 | Costa D’Amalfi(away) | 0-0 | Serie D - Girone H |
| Oct 20, 2024 | Manfredonia(home) | 2-0 | Serie D - Girone H |
| Oct 13, 2024 | Ugento(home) | 2-0 | Serie D - Girone H |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2024 | Nocerina(home) | 2-3 | Serie D - Girone H |
| Oct 27, 2024 | Ugento(away) | 0-0 | Serie D - Girone H |
| Oct 23, 2024 | Matera(home) | 1-2 | Serie D - Girone H |
| Oct 19, 2024 | Angri Calcio(away) | 2-4 | Serie D - Girone H |
| Oct 13, 2024 | Città di Fasano(home) | 1-0 | Serie D - Girone H |
How many goals should we expect?
Francavilla score 0.8 and concede 1.3 goals per match over their last 15; Real Acerrana score 1.3 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Francavilla | 0.8 | 1.3 | 6 | 4/15 | 5/15 |
| Real Acerrana | 1.3 | 1.4 | 4 | 7/12 | 6/12 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 17 | Francavilla | 8 | 1 | 2 | 5 | 5 | 9 | 5 |
A question about Francavilla vs Real Acerrana?
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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