Montebelluna vs Ambrosiana: result 2-0 and analysis
Serie D - Girone CGroup C - 8Kick-off on November 7, 2021 at 01:30 PM (UTC)Stadio San Vigilio, Montebelluna
Full time
What was the result of Montebelluna vs Ambrosiana?
Montebelluna won 2-0 on November 7, 2021.
Goalscorers
- 30′?Montebelluna (pen.)
- 45′?Montebelluna
What is the recent form of both teams?
Over their last 15 matches in all competitions, Montebelluna have 5 wins, 4 draws and 6 defeats; Ambrosiana have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2021 | Caldiero Terme(home) | 1-3 | Coppa Italia Serie D |
| Oct 31, 2021 | Cartigliano(away) | 0-1 | Serie D - Girone C |
| Oct 24, 2021 | Campodarsego(away) | 3-2 | Serie D - Girone C |
| Oct 17, 2021 | Adriese(home) | 1-0 | Serie D - Girone C |
| Oct 10, 2021 | Este(away) | 1-1 | Serie D - Girone C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 31, 2021 | Adriese(home) | 1-2 | Serie D - Girone C |
| Oct 24, 2021 | Clodiense(away) | 0-1 | Serie D - Girone C |
| Oct 17, 2021 | Campodarsego(home) | 0-1 | Serie D - Girone C |
| Oct 10, 2021 | San Martino Speme(away) | 2-0 | Serie D - Girone C |
| Oct 3, 2021 | Este(home) | 0-1 | Serie D - Girone C |
What does the head-to-head say?
Across the last 1 meetings: 0 Montebelluna win(s), 0 draw(s), 1 Ambrosiana win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 24, 2019 | Montebelluna 0-2 Ambrosiana | Serie D - Girone C |
Last archived meeting: Montebelluna vs Ambrosiana on Nov 24, 2019
How many goals should we expect?
Montebelluna score 1.3 and concede 1.6 goals per match over their last 15; Ambrosiana score 0.8 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Montebelluna | 1.3 | 1.6 | 3 | 9/15 | 8/15 |
| Ambrosiana | 0.8 | 1.3 | 4 | 3/15 | 5/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy