Fossano vs Ligorna: result 0-2 and analysis
Serie D - Girone AGroup A - 1Kick-off on September 19, 2021 at 02:00 PM (UTC)Stadio Angelo Pochissimo, Fossano
Full time
What was the result of Fossano vs Ligorna?
Ligorna won 0-2 on September 19, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fossano have 4 wins, 3 draws and 8 defeats; Ligorna have 2, 6 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2021 | Chieri(home) | 2-1 | Coppa Italia Serie D |
| Aug 5, 2021 | Alessandria(away) | 1-5 | Friendlies Clubs |
| Feb 23, 2020 | Lavagnese(away) | 0-2 | Serie D - Girone A |
| Feb 16, 2020 | Vado(home) | 0-2 | Serie D - Girone A |
| Feb 9, 2020 | Caronnese(away) | 1-2 | Serie D - Girone A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 12, 2021 | Vado(away) | 1-3 | Coppa Italia Serie D |
| Feb 23, 2020 | Lucchese(away) | 0-1 | Serie D - Girone A |
| Feb 16, 2020 | Borgosesia(home) | 1-1 | Serie D - Girone A |
| Feb 9, 2020 | Vado(away) | 1-0 | Serie D - Girone A |
| Feb 2, 2020 | Bra(home) | 2-5 | Serie D - Girone A |
What does the head-to-head say?
In the last meeting: 0 Fossano wins, 1 draw, 0 Ligorna wins.
| Date | Score | Competition |
|---|---|---|
| Dec 22, 2019 | Ligorna 2-2 Fossano | Serie D - Girone A |
How many goals should we expect?
Fossano score 1.6 and concede 2.2 goals per match over their last 15; Ligorna score 1.4 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fossano | 1.6 | 2.2 | 0 | 13/15 | 11/15 |
| Ligorna | 1.4 | 2.1 | 1 | 13/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Ligorna | 6 | 3 | 1 | 2 | 11 | 10 | 10 |
A question about Fossano vs Ligorna?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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