Montebelluna vs Portogruaro: result 1-2 and analysis
Serie D - Girone CGroup C - 9Kick-off on October 30, 2022 at 01:30 PM (UTC)Stadio San Vigilio, Montebelluna
Full time
What was the result of Montebelluna vs Portogruaro?
Portogruaro won 1-2 on October 30, 2022.
Goalscorers
- 35′?Portogruaro
- 70′?Montebelluna
- 90′?Portogruaro
What is the recent form of both teams?
Over their last 15 matches in all competitions, Montebelluna have 5 wins, 2 draws and 8 defeats; Portogruaro have 2, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2022 | Adriese(away) | 2-3 | Serie D - Girone C |
| Oct 16, 2022 | Clodiense(away) | 1-3 | Serie D - Girone C |
| Oct 9, 2022 | Montecchio Maggiore(home) | 0-2 | Serie D - Girone C |
| Oct 2, 2022 | Levico(away) | 2-2 | Serie D - Girone C |
| Sep 28, 2022 | Luparense(home) | 3-3 | Serie D - Girone C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2022 | Montecchio Maggiore(home) | 1-4 | Serie D - Girone C |
| Oct 16, 2022 | Luparense(away) | 0-3 | Serie D - Girone C |
| Oct 9, 2022 | Clodiense(home) | 1-2 | Serie D - Girone C |
| Oct 2, 2022 | Cjarlins Muzane(away) | 1-0 | Serie D - Girone C |
| Sep 24, 2022 | Levico(home) | 3-0 | Serie D - Girone C |
How many goals should we expect?
Montebelluna score 1.3 and concede 2.2 goals per match over their last 15; Portogruaro score 1.2 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Montebelluna | 1.3 | 2.2 | 1 | 9/15 | 11/15 |
| Portogruaro | 1.2 | 2.2 | 2 | 5/10 | 7/10 |
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 | Portogruaro | 34 | 1 | 8 | 25 | 25 | 81 | 11 |
A question about Montebelluna vs Portogruaro?
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