Virtus Ciserano Bergamo vs Tritium: result 0-1 and analysis
Serie D - Girone BRegular Season - 13Kick-off on November 10, 2019 at 01:30 PM (UTC)Stadio Carlo Rossoni, Ciserano
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What was the result of Virtus Ciserano Bergamo vs Tritium?
Tritium won 0-1 on November 10, 2019.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Virtus Ciserano Bergamo have 4 wins, 6 draws and 2 defeats; Tritium have 5, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2019 | Virtus Bolzano(home) | 2-2 | Serie D - Girone B |
| Oct 30, 2019 | Brusaporto(away) | 1-0 | Serie D - Girone B |
| Oct 26, 2019 | Dro Alto Garda(home) | 0-0 | Serie D - Girone B |
| Oct 20, 2019 | Arconatese(away) | 1-1 | Serie D - Girone B |
| Oct 13, 2019 | Seregno(home) | 3-2 | Serie D - Girone B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2019 | Arconatese(home) | 0-1 | Serie D - Girone B |
| Oct 30, 2019 | Virtus Bolzano(away) | 2-1 | Serie D - Girone B |
| Oct 26, 2019 | Villa Valle(home) | 1-1 | Serie D - Girone B |
| Oct 20, 2019 | Dro Alto Garda(away) | 1-0 | Serie D - Girone B |
| Oct 13, 2019 | Sondrio(home) | 2-1 | Serie D - Girone B |
How many goals should we expect?
Virtus Ciserano Bergamo score 1.3 and concede 1.2 goals per match over their last 12; Tritium score 1.8 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Virtus Ciserano Bergamo | 1.3 | 1.2 | 4 | 7/12 | 5/12 |
| Tritium | 1.8 | 1.3 | 2 | 9/12 | 5/12 |
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 |
|---|---|---|---|---|---|---|---|---|
| 10 | Virtus Ciserano Bergamo | 34 | 11 | 13 | 10 | 33 | 31 | 46 |
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