Gelbison vs Afragolese: result 0-0 and analysis
Serie D - Girone GGroup G - 1Kick-off on September 6, 2026 at 02:00 PM (UTC)Stadio Marcello Torre, Pagani
Full time
What was the result of Gelbison vs Afragolese?
Gelbison and Afragolese drew 0-0 on September 6, 2026.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gelbison have 10 wins, 3 draws and 2 defeats; Afragolese have 4, 7 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 10, 2026 | Nissa(away) | 0-4 | Serie D - Girone I |
| May 3, 2026 | Gela(home) | 1-0 | Serie D - Girone I |
| Apr 26, 2026 | Enna(away) | 1-0 | Serie D - Girone I |
| Apr 19, 2026 | Acireale(home) | 2-1 | Serie D - Girone I |
| Apr 12, 2026 | Sancataldese(away) | 1-0 | Serie D - Girone I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 3, 2026 | Francavilla(away) | 0-2 | Serie D - Girone H |
| Apr 26, 2026 | Gravina(home) | 0-6 | Serie D - Girone H |
| Apr 19, 2026 | Real Normanna(home) | 0-0 | Serie D - Girone H |
| Apr 11, 2026 | Paganese(away) | 1-1 | Serie D - Girone H |
| Apr 2, 2026 | Virtus Francavilla(home) | 2-2 | Serie D - Girone H |
How many goals should we expect?
Gelbison score 1.5 and concede 0.8 goals per match over their last 15; Afragolese score 1.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gelbison | 1.5 | 0.8 | 6 | 7/15 | 6/15 |
| Afragolese | 1.0 | 1.3 | 5 | 6/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Gelbison sit 10th in Serie D - Girone G (7 points from 6 matches) and Afragolese sit 14th (6 points from 6 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Gelbison | 6 | 2 | 1 | 3 | 7 | 9 | 7 |
| 14 | Afragolese | 6 | 1 | 3 | 2 | 5 | 7 | 6 |
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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