Brian Lignano vs Virtus Ciserano Bergamo: result 1-0 and analysis
Serie D - Girone CGroup C - 11Kick-off on October 27, 2024 at 01:30 PM (UTC)Stadio Guido Teghil, Lignano Sabbiadoro
Full time
What was the result of Brian Lignano vs Virtus Ciserano Bergamo?
Brian Lignano won 1-0 on October 27, 2024.
Goalscorers
- 49′?Brian Lignano
What is the recent form of both teams?
Over their last 11 matches in all competitions, Brian Lignano have 3 wins, 4 draws and 4 defeats; Virtus Ciserano Bergamo have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2024 | Lavis(away) | 3-1 | Serie D - Girone C |
| Oct 19, 2024 | Cjarlins Muzane(home) | 0-1 | Serie D - Girone C |
| Oct 13, 2024 | Bassano Virtus(away) | 1-1 | Serie D - Girone C |
| Oct 6, 2024 | Portogruaro(home) | 0-0 | Serie D - Girone C |
| Oct 2, 2024 | Real Calepina(away) | 2-1 | Serie D - Girone C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2024 | Chions(home) | 2-3 | Serie D - Girone C |
| Oct 19, 2024 | Dolomiti Bellunesi(away) | 0-4 | Serie D - Girone C |
| Oct 13, 2024 | Caravaggio(home) | 2-0 | Serie D - Girone C |
| Oct 6, 2024 | Montecchio Maggiore(away) | 2-1 | Serie D - Girone C |
| Oct 2, 2024 | Campodarsego(home) | 1-2 | Serie D - Girone C |
How many goals should we expect?
Brian Lignano score 0.9 and concede 1.0 goals per match over their last 11; Virtus Ciserano Bergamo score 1.3 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Brian Lignano | 0.9 | 1.0 | 3 | 6/11 | 4/11 |
| Virtus Ciserano Bergamo | 1.3 | 1.6 | 4 | 7/15 | 8/15 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 18 | Brian Lignano | 6 | 1 | 0 | 5 | 7 | 14 | 3 |
A question about Brian Lignano vs Virtus Ciserano Bergamo?
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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