Paternò vs Gela: result 1-4 and analysis
Serie D - Girone IGroup I - 12Kick-off on November 16, 2025 at 01:30 PM (UTC)Stadio Falcone-Borsellino, Paternò
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What was the result of Paternò vs Gela?
Gela won 1-4 on November 16, 2025.
Goalscorers
- 3′J. MbakoguGela
- 31′J. MbakoguGela
- 74′621517Gela
- 86′621519Gela (pen.)
- 86′621518Paternò (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Paternò have 2 wins, 5 draws and 8 defeats; Gela have 4, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 9, 2025 | Enna(away) | 0-3 | Serie D - Girone I |
| Nov 5, 2025 | Acireale(away) | 1-2 | Serie D - Girone I |
| Nov 2, 2025 | AC Palermo(home) | 3-2 | Serie D - Girone I |
| Oct 19, 2025 | Igea Virtus(home) | 0-2 | Serie D - Girone I |
| Oct 12, 2025 | Sancataldese(away) | 0-3 | Serie D - Girone I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 9, 2025 | Sambiase(home) | 0-3 | Serie D - Girone I |
| Nov 2, 2025 | Milazzo(away) | 0-1 | Serie D - Girone I |
| Oct 26, 2025 | Enna(home) | 3-1 | Serie D - Girone I |
| Oct 19, 2025 | AC Palermo(home) | 0-1 | Serie D - Girone I |
| Oct 12, 2025 | Acireale(away) | 1-2 | Serie D - Girone I |
How many goals should we expect?
Paternò score 0.6 and concede 1.8 goals per match over their last 15; Gela score 1.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Paternò | 0.6 | 1.8 | 4 | 6/15 | 8/15 |
| Gela | 1.0 | 1.0 | 4 | 3/12 | 5/12 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Gela | 8 | 1 | 4 | 3 | 6 | 8 | 6 |
A question about Paternò vs Gela?
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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