Vigasio vs Montebelluna: result 1-3 and analysis
Serie D - Girone CRegular Season - 10Kick-off on October 26, 2019 at 12:30 PM (UTC)Stadio Comunale di Vigasio, Vigasio
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What was the result of Vigasio vs Montebelluna?
Montebelluna won 1-3 on October 26, 2019.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Vigasio have 3 wins, 1 draw and 5 defeats; Montebelluna have 0, 6 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2019 | Belluno(away) | 0-2 | Serie D - Girone C |
| Oct 13, 2019 | Mestre(home) | 1-2 | Serie D - Girone C |
| Oct 6, 2019 | Luparense(away) | 1-4 | Serie D - Girone C |
| Sep 29, 2019 | Villafranca(home) | 1-0 | Serie D - Girone C |
| Sep 22, 2019 | Clodiense(away) | 0-0 | Serie D - Girone C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2019 | Union Feltre(home) | 1-1 | Serie D - Girone C |
| Oct 13, 2019 | Villafranca(home) | 0-0 | Serie D - Girone C |
| Oct 6, 2019 | Mestre(away) | 0-3 | Serie D - Girone C |
| Sep 29, 2019 | Chions(home) | 0-2 | Serie D - Girone C |
| Sep 22, 2019 | Caldiero Terme(away) | 0-1 | Serie D - Girone C |
How many goals should we expect?
Vigasio score 0.9 and concede 1.4 goals per match over their last 9; Montebelluna score 0.6 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vigasio | 0.9 | 1.4 | 4 | 2/9 | 4/9 |
| Montebelluna | 0.6 | 1.2 | 2 | 4/9 | 2/9 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Vigasio | 34 | 8 | 14 | 12 | 44 | 46 | 38 |
A question about Vigasio vs Montebelluna?
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