Brian Lignano vs San Luigi: result 3-1 and analysis
Serie D - Girone CGroup C - 11Kick-off on November 9, 2025 at 01:30 PM (UTC)Stadio Guido Teghil, Lignano Sabbiadoro
Full time
What was the result of Brian Lignano vs San Luigi?
Brian Lignano won 3-1 on November 9, 2025.
Goalscorers
- 5′C. IbeBrian Lignano
- 11′614146Brian Lignano
- 36′614147San Luigi (pen.)
- 52′C. IbeBrian Lignano
What is the recent form of both teams?
Over their last 15 matches in all competitions, Brian Lignano have 4 wins, 3 draws and 8 defeats; San Luigi have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2025 | Mestre(away) | 0-1 | Coppa Italia Serie D |
| Nov 2, 2025 | Conegliano(away) | 0-1 | Serie D - Girone C |
| Oct 26, 2025 | Altavilla(home) | 0-1 | Serie D - Girone C |
| Oct 19, 2025 | FC Obermais(away) | 1-1 | Serie D - Girone C |
| Oct 12, 2025 | Luparense(home) | 3-0 | Serie D - Girone C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2025 | Clodiense(home) | 0-0 | Serie D - Girone C |
| Oct 26, 2025 | Campodarsego(away) | 1-2 | Serie D - Girone C |
| Oct 19, 2025 | Calvi Noale(home) | 1-0 | Serie D - Girone C |
| Oct 12, 2025 | Adriese(away) | 1-2 | Serie D - Girone C |
| Oct 5, 2025 | Bassano Virtus(home) | 0-3 | Serie D - Girone C |
How many goals should we expect?
Brian Lignano score 1.2 and concede 1.5 goals per match over their last 15; San Luigi score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Brian Lignano | 1.2 | 1.5 | 1 | 8/15 | 8/15 |
| San Luigi | 1.1 | 1.5 | 4 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 18 | Brian Lignano | 7 | 1 | 0 | 6 | 7 | 15 | 3 |
A question about Brian Lignano vs San Luigi?
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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