Gelbison vs Sambiase: result 2-0 and analysis
Serie D - Girone IGroup I - 1Kick-off on September 7, 2025 at 01:00 PM (UTC)Stadio Marcello Torre, Pagani
Full time
What was the result of Gelbison vs Sambiase?
Gelbison won 2-0 on September 7, 2025.
Goalscorers
- 11′L. LiurniGelbison
- 45′621452Gelbison
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gelbison have 8 wins, 5 draws and 2 defeats; Sambiase have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2025 | Pompei(home) | 3-0 | Coppa Italia Serie D |
| May 18, 2025 | Cassino(home) | 1-1 | Serie D - Promotion - Play-offs |
| May 11, 2025 | Savoia(home) | 3-1 | Serie D - Promotion - Play-offs |
| May 4, 2025 | Olbia(away) | 3-3 | Serie D - Girone G |
| Apr 27, 2025 | Sarrabus Ogliastra(home) | 1-0 | Serie D - Girone G |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2025 | Vigor Lamezia(away) | 1-0 | Coppa Italia Serie D |
| Aug 4, 2025 | SS Monopoli(away) | 0-0 | Friendlies Clubs |
| May 11, 2025 | Scafatese(away) | 0-2 | Serie D - Promotion - Play-offs |
| Apr 27, 2025 | Paternò(away) | 1-1 | Serie D - Girone I |
| Apr 17, 2025 | Licata(home) | 1-0 | Serie D - Girone I |
How many goals should we expect?
Gelbison score 1.8 and concede 1.0 goals per match over their last 15; Sambiase score 0.8 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gelbison | 1.8 | 1.0 | 5 | 9/15 | 8/15 |
| Sambiase | 0.8 | 0.9 | 4 | 6/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Sambiase | 7 | 5 | 1 | 1 | 11 | 5 | 16 |
A question about Gelbison vs Sambiase?
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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