Calcio Avola vs Nissa: result 4-2 and analysis
Serie D - Girone IGroup I - 4Kick-off on September 20, 2026 at 01:00 PM (UTC)
Full time
What was the result of Calcio Avola vs Nissa?
Calcio Avola won 4-2 on September 20, 2026.
Goalscorers
- 11′L. FofanaNissa
- 16′F. AlagnaNissa
- 30′633921Calcio Avola
- 66′684648Calcio Avola
- 75′684649Calcio Avola
- 85′633921Calcio Avola
What is the recent form of both teams?
Over their last 3 matches in all competitions, Calcio Avola have 1 win, 0 draws and 2 defeats; Nissa have 9, 6 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 16, 2026 | Reggina(away) | 0-4 | Serie D - Girone I |
| Sep 13, 2026 | Trapani 1905(home) | 1-0 | Serie D - Girone I |
| Sep 6, 2026 | Igea Virtus(away) | 2-4 | Serie D - Girone I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 16, 2026 | Trapani 1905(home) | 2-0 | Serie D - Girone I |
| Sep 13, 2026 | Licata(away) | 1-1 | Serie D - Girone I |
| Sep 6, 2026 | Vigor Lamezia(home) | 3-1 | Serie D - Girone I |
| May 17, 2026 | Reggina(home) | 0-0 | Serie D - Girone I |
| May 10, 2026 | Gelbison(home) | 4-0 | Serie D - Girone I |
How many goals should we expect?
Calcio Avola score 1.0 and concede 2.7 goals per match over their last 3; Nissa score 2.0 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Calcio Avola | 1.0 | 2.7 | 1 | 1/3 | 2/3 |
| Nissa | 2.0 | 0.5 | 8 | 7/15 | 6/15 |
Over the last 3 matches in all competitions.
Where do both teams sit in the table?
Calcio Avola sit 5th in Serie D - Girone I (16 points from 9 matches) and Nissa sit 11th (9 points from 9 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Calcio Avola | 9 | 5 | 1 | 3 | 12 | 12 | 16 |
| 11 | Nissa | 9 | 2 | 3 | 4 | 11 | 13 | 9 |
A question about Calcio Avola vs Nissa?
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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