Luparense vs Dolomiti Bellunesi: result 4-2 and analysis
Serie D - Girone CGroup C - 2Kick-off on September 26, 2021 at 01:00 PM (UTC)Stadio Comunale Gianni Casée, San Martino di Lupari
Full time
What was the result of Luparense vs Dolomiti Bellunesi?
Luparense won 4-2 on September 26, 2021.
Goalscorers
- 27′J. CardellinoLuparense
- 29′?Luparense
- 32′Francesco PosoccoDolomiti Bellunesi
- 77′Nicolò CherubinLuparense
- 78′?Luparense
- 90′?Dolomiti Bellunesi
What is the recent form of both teams?
Over their last 15 matches in all competitions, Luparense have 5 wins, 2 draws and 8 defeats; Dolomiti Bellunesi have 1, 0 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2021 | Levico(home) | 0-1 | Coppa Italia Serie D |
| Sep 18, 2021 | Caldiero Terme(away) | 1-1 | Serie D - Girone C |
| Feb 16, 2020 | Clodiense(home) | 2-3 | Serie D - Girone C |
| Feb 9, 2020 | Vigasio(away) | 0-1 | Serie D - Girone C |
| Feb 2, 2020 | Cjarlins Muzane(home) | 0-3 | Serie D - Girone C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 18, 2021 | Levico(home) | 4-1 | Serie D - Girone C |
| Sep 12, 2021 | Levico(home) | 1-2 | Coppa Italia Serie D |
| Sep 4, 2021 | Udinese(away) | 1-4 | Friendlies Clubs |
How many goals should we expect?
Luparense score 1.3 and concede 1.7 goals per match over their last 15; Dolomiti Bellunesi score 2.0 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Luparense | 1.3 | 1.7 | 1 | 10/15 | 9/15 |
| Dolomiti Bellunesi | 2.0 | 2.3 | 0 | 3/3 | 3/3 |
Over the last 15 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 |
|---|---|---|---|---|---|---|---|---|
| 13 | Luparense | 34 | 10 | 13 | 11 | 36 | 39 | 43 |
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