Conegliano vs Treviso: result 2-1 and analysis
Serie D - Girone CGroup C - 14Kick-off on November 30, 2025 at 01:30 PM (UTC)
Full time
What was the result of Conegliano vs Treviso?
Conegliano won 2-1 on November 30, 2025.
Goalscorers
- 7′591985Conegliano
- 21′M. SalviTreviso
- 66′591985Conegliano
What is the recent form of both teams?
Over their last 14 matches in all competitions, Conegliano have 3 wins, 4 draws and 7 defeats; Treviso have 11, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 23, 2025 | Clodiense(away) | 1-1 | Serie D - Girone C |
| Nov 16, 2025 | Legnago Salus(home) | 2-1 | Serie D - Girone C |
| Nov 9, 2025 | Calvi Noale(away) | 1-2 | Serie D - Girone C |
| Nov 2, 2025 | Brian Lignano(home) | 1-0 | Serie D - Girone C |
| Oct 26, 2025 | Bassano Virtus(away) | 1-2 | Serie D - Girone C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 23, 2025 | Altavilla(home) | 1-0 | Serie D - Girone C |
| Nov 16, 2025 | FC Obermais(away) | 1-0 | Serie D - Girone C |
| Nov 9, 2025 | Luparense(away) | 2-0 | Serie D - Girone C |
| Nov 2, 2025 | Cjarlins Muzane(home) | 1-0 | Serie D - Girone C |
| Oct 26, 2025 | Clodiense(away) | 1-0 | Serie D - Girone C |
How many goals should we expect?
Conegliano score 0.9 and concede 1.2 goals per match over their last 14; Treviso score 1.5 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Conegliano | 0.9 | 1.2 | 3 | 8/14 | 6/14 |
| Treviso | 1.5 | 0.7 | 8 | 6/15 | 5/15 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Conegliano | 10 | 4 | 2 | 4 | 8 | 11 | 14 |
A question about Conegliano vs Treviso?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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