Gravina vs Ferrandina: result 3-1 and analysis
Serie D - Girone HGroup H - 14Kick-off on November 30, 2025 at 01:30 PM (UTC)Stadio Comunale Stefano Vicino, Gravina in Puglia
Full time
What was the result of Gravina vs Ferrandina?
Gravina won 3-1 on November 30, 2025.
Goalscorers
- 22′577679Gravina
- 36′577674Gravina
- 47′577679Gravina
- 54′582743Ferrandina
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gravina have 4 wins, 5 draws and 6 defeats; Ferrandina have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 23, 2025 | Martina Franca(away) | 0-1 | Serie D - Girone H |
| Nov 16, 2025 | Manfredonia(home) | 0-0 | Serie D - Girone H |
| Nov 9, 2025 | Barletta(away) | 0-3 | Serie D - Girone H |
| Nov 2, 2025 | Sarnese(home) | 5-1 | Serie D - Girone H |
| Oct 26, 2025 | Pompei(away) | 1-0 | Serie D - Girone H |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 23, 2025 | Città di Fasano(home) | 0-0 | Serie D - Girone H |
| Nov 16, 2025 | Paganese(away) | 0-0 | Serie D - Girone H |
| Nov 9, 2025 | Real Normanna(home) | 0-0 | Serie D - Girone H |
| Nov 1, 2025 | Afragolese(away) | 2-3 | Serie D - Girone H |
| Oct 26, 2025 | Martina Franca(home) | 1-0 | Serie D - Girone H |
How many goals should we expect?
Gravina score 1.1 and concede 1.3 goals per match over their last 15; Ferrandina score 0.8 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gravina | 1.1 | 1.3 | 5 | 7/15 | 7/15 |
| Ferrandina | 0.8 | 1.2 | 4 | 7/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Gravina | 7 | 3 | 3 | 1 | 13 | 8 | 12 |
A question about Gravina vs Ferrandina?
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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