Villa Valle vs Bustese Milano City: result 2-1 and analysis
Serie D - Girone BRegular Season - 13Kick-off on November 10, 2019 at 01:30 PM (UTC)Campo Sportivo Comunale Villa D'Almè, Villa D'Almè
Full time
What was the result of Villa Valle vs Bustese Milano City?
Villa Valle won 2-1 on November 10, 2019.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Villa Valle have 2 wins, 5 draws and 5 defeats; Bustese Milano City have 1, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2019 | Castellanzese(away) | 1-1 | Serie D - Girone B |
| Oct 30, 2019 | Folgore Caratese(home) | 1-4 | Serie D - Girone B |
| Oct 26, 2019 | Tritium(away) | 1-1 | Serie D - Girone B |
| Oct 20, 2019 | Legnano(home) | 3-2 | Serie D - Girone B |
| Oct 13, 2019 | Brusaporto(away) | 0-0 | Serie D - Girone B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2019 | Pro Sesto(home) | 0-2 | Serie D - Girone B |
| Oct 30, 2019 | Sondrio(away) | 2-0 | Serie D - Girone B |
| Oct 27, 2019 | Scanzorosciate(home) | 1-1 | Serie D - Girone B |
| Oct 20, 2019 | Ponte San Pietro(away) | 0-0 | Serie D - Girone B |
| Oct 13, 2019 | Inveruno(home) | 1-3 | Serie D - Girone B |
How many goals should we expect?
Villa Valle score 1.0 and concede 1.8 goals per match over their last 12; Bustese Milano City score 0.6 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Villa Valle | 1.0 | 1.8 | 1 | 8/12 | 6/12 |
| Bustese Milano City | 0.6 | 1.2 | 5 | 4/12 | 3/12 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Villa Valle | 34 | 13 | 8 | 13 | 43 | 46 | 47 |
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