Mestre vs Montebelluna: result 3-0 and analysis
Serie D - Girone CRegular Season - 7Kick-off on October 6, 2019 at 01:00 PM (UTC)Stadio Francesco Baracca, Mestre
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What was the result of Mestre vs Montebelluna?
Mestre won 3-0 on October 6, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mestre have 3 wins, 5 draws and 7 defeats; Montebelluna have 0, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2019 | Caldiero Terme(home) | 0-1 | Serie D - Girone C |
| Sep 22, 2019 | Villafranca(away) | 2-1 | Serie D - Girone C |
| Sep 15, 2019 | Legnago Salus(home) | 2-3 | Serie D - Girone C |
| Sep 11, 2019 | Chions(away) | 2-2 | Serie D - Girone C |
| Sep 7, 2019 | Adriese(home) | 2-2 | Serie D - Girone C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2019 | Chions(home) | 0-2 | Serie D - Girone C |
| Sep 22, 2019 | Caldiero Terme(away) | 0-1 | Serie D - Girone C |
| Sep 15, 2019 | Cartigliano(home) | 1-1 | Serie D - Girone C |
| Sep 11, 2019 | Legnago Salus(away) | 0-0 | Serie D - Girone C |
| Sep 7, 2019 | Campodarsego(home) | 1-1 | Serie D - Girone C |
How many goals should we expect?
Mestre score 1.1 and concede 1.3 goals per match over their last 15; Montebelluna score 0.7 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mestre | 1.1 | 1.3 | 4 | 6/15 | 7/15 |
| Montebelluna | 0.7 | 1.2 | 1 | 3/6 | 1/6 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Mestre | 6 | 2 | 4 | 0 | 9 | 6 | 10 |
A question about Mestre 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