Montebelluna vs Torviscosa: result 0-1 and analysis
Serie D - Girone CGroup C - 27Kick-off on March 12, 2023 at 01:30 PM (UTC)Stadio San Vigilio, Montebelluna
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What was the result of Montebelluna vs Torviscosa?
Torviscosa won 0-1 on March 12, 2023.
Goalscorers
- 17′56537Torviscosa
What is the recent form of both teams?
Over their last 15 matches in all competitions, Montebelluna have 2 wins, 5 draws and 8 defeats; Torviscosa have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 5, 2023 | Portogruaro(away) | 1-3 | Serie D - Girone C |
| Feb 26, 2023 | Adriese(home) | 0-2 | Serie D - Girone C |
| Feb 19, 2023 | Clodiense(home) | 1-3 | Serie D - Girone C |
| Feb 12, 2023 | Montecchio Maggiore(away) | 2-2 | Serie D - Girone C |
| Feb 5, 2023 | Levico(home) | 1-0 | Serie D - Girone C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 5, 2023 | Levico(home) | 2-0 | Serie D - Girone C |
| Feb 26, 2023 | Luparense(away) | 2-0 | Serie D - Girone C |
| Feb 19, 2023 | Legnago Salus(home) | 0-5 | Serie D - Girone C |
| Feb 11, 2023 | Cjarlins Muzane(away) | 1-3 | Serie D - Girone C |
| Feb 5, 2023 | Este(home) | 0-4 | Serie D - Girone C |
What does the head-to-head say?
Across the last 1 meetings: 1 Montebelluna win(s), 0 draw(s), 0 Torviscosa win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 6, 2022 | Torviscosa 0-1 Montebelluna | Serie D - Girone C |
Last archived meeting: Torviscosa vs Montebelluna on Nov 6, 2022
How many goals should we expect?
Montebelluna score 0.9 and concede 1.5 goals per match over their last 15; Torviscosa score 0.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Montebelluna | 0.9 | 1.5 | 4 | 8/15 | 8/15 |
| Torviscosa | 0.9 | 1.5 | 6 | 6/15 | 7/15 |
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