Atletico Castegnato vs Dolomiti Bellunesi: result 3-5 and analysis
Serie D - Girone CGroup C - 6Kick-off on October 15, 2023 at 01:30 PM (UTC)
Full time
What was the result of Atletico Castegnato vs Dolomiti Bellunesi?
Dolomiti Bellunesi won 3-5 on October 15, 2023.
Goalscorers
- 8′?Atletico Castegnato
- 12′?Dolomiti Bellunesi
- 42′M. NuničDolomiti Bellunesi
- 45′M. NuničDolomiti Bellunesi
- 69′?Atletico Castegnato
- 87′?Dolomiti Bellunesi
- 90′?Dolomiti Bellunesi
- 90′Ruggero RusconiAtletico Castegnato (pen.)
What is the recent form of both teams?
Over their last 7 matches in all competitions, Atletico Castegnato have 1 wins, 3 draws and 3 defeats; Dolomiti Bellunesi have 6, 6 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2023 | Cjarlins Muzane(away) | 0-0 | Serie D - Girone C |
| Oct 1, 2023 | Mori Santo Stefano(home) | 0-1 | Serie D - Girone C |
| Sep 24, 2023 | Clodiense(away) | 1-2 | Serie D - Girone C |
| Sep 17, 2023 | Campodarsego(home) | 1-1 | Serie D - Girone C |
| Sep 10, 2023 | Breno(away) | 1-1 | Serie D - Girone C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2023 | Bassano Virtus(home) | 1-0 | Serie D - Girone C |
| Oct 1, 2023 | Campodarsego(home) | 2-1 | Serie D - Girone C |
| Sep 24, 2023 | Mori Santo Stefano(away) | 3-0 | Serie D - Girone C |
| Sep 17, 2023 | Virtus Bolzano(home) | 1-1 | Serie D - Girone C |
| Sep 10, 2023 | Adriese(away) | 1-0 | Serie D - Girone C |
How many goals should we expect?
Atletico Castegnato score 0.7 and concede 1.4 goals per match over their last 7; Dolomiti Bellunesi score 1.4 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Atletico Castegnato | 0.7 | 1.4 | 2 | 4/7 | 2/7 |
| Dolomiti Bellunesi | 1.4 | 0.9 | 6 | 8/15 | 5/15 |
Over the last 7 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