Torviscosa vs Cjarlins Muzane: result 0-3 and analysis
Serie D - Girone CGroup C - 6Kick-off on October 8, 2022 at 01:00 PM (UTC)Stadio Beppino Tonello, Torviscosa
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What was the result of Torviscosa vs Cjarlins Muzane?
Cjarlins Muzane won 0-3 on October 8, 2022.
Goalscorers
- 18′Roberto CodromazCjarlins Muzane (pen.)
- 59′?Cjarlins Muzane
- 83′Luca CattaneoCjarlins Muzane
What is the recent form of both teams?
Over their last 7 matches in all competitions, Torviscosa have 1 win, 3 draws and 3 defeats; Cjarlins Muzane have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2022 | Este(away) | 2-2 | Serie D - Girone C |
| Sep 24, 2022 | Caldiero Terme(home) | 1-1 | Serie D - Girone C |
| Sep 17, 2022 | Dolomiti Bellunesi(away) | 0-2 | Serie D - Girone C |
| Sep 11, 2022 | Campodarsego(home) | 0-1 | Serie D - Girone C |
| Sep 4, 2022 | Mestre(away) | 1-0 | Serie D - Girone C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2022 | Portogruaro(home) | 0-1 | Serie D - Girone C |
| Sep 24, 2022 | Adriese(away) | 1-1 | Serie D - Girone C |
| Sep 17, 2022 | Montebelluna(home) | 3-1 | Serie D - Girone C |
| Sep 11, 2022 | Luparense(away) | 1-1 | Serie D - Girone C |
| Sep 4, 2022 | Clodiense(home) | 0-0 | Serie D - Girone C |
How many goals should we expect?
Torviscosa score 0.9 and concede 1.4 goals per match over their last 7; Cjarlins Muzane score 1.4 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Torviscosa | 0.9 | 1.4 | 1 | 4/7 | 2/7 |
| Cjarlins Muzane | 1.4 | 1.2 | 4 | 8/15 | 7/15 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Cjarlins Muzane | 8 | 6 | 0 | 2 | 19 | 9 | 18 |
A question about Torviscosa vs Cjarlins Muzane?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy