AC Palermo vs Nissa: result 1-2 and analysis
Serie D - Girone IGroup I - 11Kick-off on November 26, 2025 at 02:00 PM (UTC)
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What was the result of AC Palermo vs Nissa?
Nissa won 1-2 on November 26, 2025.
Goalscorers
- 23′625301AC Palermo
- 38′621492Nissa
- 56′650665Nissa (o.g.)
What is the recent form of both teams?
Over their last 13 matches in all competitions, AC Palermo have 6 wins, 4 draws and 3 defeats; Nissa have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 23, 2025 | Gelbison(home) | 3-0 | Serie D - Girone I |
| Nov 16, 2025 | Reggina(away) | 3-2 | Serie D - Girone I |
| Nov 2, 2025 | Paternò(away) | 2-3 | Serie D - Girone I |
| Oct 26, 2025 | Sambiase(home) | 2-0 | Serie D - Girone I |
| Oct 19, 2025 | Gela(away) | 1-0 | Serie D - Girone I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 23, 2025 | Gela(away) | 0-1 | Serie D - Girone I |
| Nov 16, 2025 | Sancataldese(home) | 2-1 | Serie D - Girone I |
| Nov 2, 2025 | Messina(home) | 1-0 | Serie D - Girone I |
| Oct 26, 2025 | Igea Virtus(away) | 2-3 | Serie D - Girone I |
| Oct 19, 2025 | Savoia(home) | 1-0 | Serie D - Girone I |
How many goals should we expect?
AC Palermo score 1.7 and concede 1.3 goals per match over their last 13; Nissa score 1.2 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AC Palermo | 1.7 | 1.3 | 4 | 9/13 | 9/13 |
| Nissa | 1.2 | 1.1 | 4 | 8/15 | 6/15 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
AC Palermo sit 4th in Serie D - Girone I (60 points from 34 matches) and Nissa sit 2nd (67 points from 34 matches).
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Nissa | 34 | 19 | 10 | 5 | 50 | 26 | 67 |
| 4 | AC Palermo | 34 | 18 | 6 | 10 | 59 | 47 | 60 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy