Montebelluna vs Bassano Virtus: result 0-1 and analysis
Serie D - Girone CGroup C - 10Kick-off on November 5, 2023 at 01:30 PM (UTC)Stadio San Vigilio, Montebelluna
Full time
What was the result of Montebelluna vs Bassano Virtus?
Bassano Virtus won 0-1 on November 5, 2023.
Goalscorers
- 80′?Bassano Virtus
What is the recent form of both teams?
Over their last 15 matches in all competitions, Montebelluna have 5 wins, 6 draws and 4 defeats; Bassano Virtus have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2023 | Luparense(away) | 1-3 | Serie D - Girone C |
| Oct 28, 2023 | Mori Santo Stefano(home) | 2-1 | Serie D - Girone C |
| Oct 22, 2023 | Dolomiti Bellunesi(away) | 2-0 | Serie D - Girone C |
| Oct 15, 2023 | Adriese(home) | 1-1 | Serie D - Girone C |
| Oct 8, 2023 | Campodarsego(away) | 0-0 | Serie D - Girone C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2023 | Chions(home) | 1-2 | Serie D - Girone C |
| Oct 28, 2023 | Atletico Castegnato(away) | 1-1 | Serie D - Girone C |
| Oct 22, 2023 | Luparense(home) | 2-1 | Serie D - Girone C |
| Oct 15, 2023 | Mori Santo Stefano(home) | 1-0 | Serie D - Girone C |
| Oct 8, 2023 | Dolomiti Bellunesi(away) | 0-1 | Serie D - Girone C |
How many goals should we expect?
Montebelluna score 1.0 and concede 1.3 goals per match over their last 15; Bassano Virtus score 0.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Montebelluna | 1.0 | 1.3 | 4 | 9/15 | 5/15 |
| Bassano Virtus | 0.9 | 1.1 | 5 | 6/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 10 | Bassano Virtus | 9 | 3 | 3 | 3 | 8 | 8 | 12 |
A question about Montebelluna vs Bassano Virtus?
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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