Ferrandina vs Virtus Francavilla: result 2-1 and analysis
Serie D - Girone HGroup H - 4Kick-off on September 24, 2025 at 02:00 PM (UTC)
Full time
What was the result of Ferrandina vs Virtus Francavilla?
Ferrandina won 2-1 on September 24, 2025.
Goalscorers
- 27′577643Ferrandina
- 59′562256Ferrandina
- 90′577644Virtus Francavilla
What is the recent form of both teams?
Over their last 5 matches in all competitions, Ferrandina have 0 wins, 3 draws and 2 defeats; Virtus Francavilla have 3, 9 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2025 | Francavilla(away) | 0-2 | Serie D - Girone H |
| Sep 14, 2025 | Real Acerrana(home) | 1-1 | Serie D - Girone H |
| Sep 7, 2025 | Fidelis Andria(away) | 0-2 | Serie D - Girone H |
| Sep 1, 2025 | Fidelis Andria(away) | 1-1 | Coppa Italia Serie D |
| Aug 24, 2025 | Barletta(away) | 1-1 | Coppa Italia Serie D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2025 | Martina Franca(home) | 1-1 | Serie D - Girone H |
| Sep 14, 2025 | Manfredonia(away) | 5-2 | Serie D - Girone H |
| Sep 7, 2025 | Barletta(home) | 2-2 | Serie D - Girone H |
| Aug 31, 2025 | Città di Fasano(home) | 1-1 | Coppa Italia Serie D |
| May 4, 2025 | Ugento(home) | 1-1 | Serie D - Girone H |
How many goals should we expect?
Ferrandina score 0.6 and concede 1.4 goals per match over their last 5; Virtus Francavilla score 1.6 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ferrandina | 0.6 | 1.4 | 0 | 3/5 | 0/5 |
| Virtus Francavilla | 1.6 | 1.3 | 2 | 11/15 | 6/15 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Virtus Francavilla | 7 | 6 | 0 | 1 | 14 | 8 | 18 |
A question about Ferrandina vs Virtus Francavilla?
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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