Cjarlins Muzane vs Montebelluna: result 1-2 and analysis
Serie D - Girone CRegular Season - 16Kick-off on December 1, 2019 at 01:30 PM (UTC)Stadio Via Rizzolo, Carlino
Full time
What was the result of Cjarlins Muzane vs Montebelluna?
Montebelluna won 1-2 on December 1, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Cjarlins Muzane have 6 wins, 3 draws and 6 defeats; Montebelluna have 3, 8 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2019 | Union Feltre(away) | 0-2 | Serie D - Girone C |
| Nov 17, 2019 | Villafranca(home) | 4-3 | Serie D - Girone C |
| Nov 10, 2019 | Mestre(away) | 1-3 | Serie D - Girone C |
| Nov 3, 2019 | Chions(home) | 2-2 | Serie D - Girone C |
| Oct 30, 2019 | Caldiero Terme(away) | 1-0 | Serie D - Girone C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2019 | Ambrosiana(home) | 0-2 | Serie D - Girone C |
| Nov 17, 2019 | Tamai(away) | 2-0 | Serie D - Girone C |
| Nov 10, 2019 | San Luigi(home) | 1-1 | Serie D - Girone C |
| Nov 3, 2019 | Este(away) | 0-0 | Serie D - Girone C |
| Oct 30, 2019 | Delta Porto Tolle(home) | 1-0 | Serie D - Girone C |
How many goals should we expect?
Cjarlins Muzane score 1.7 and concede 2.1 goals per match over their last 15; Montebelluna score 0.8 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cjarlins Muzane | 1.7 | 2.1 | 2 | 10/15 | 11/15 |
| Montebelluna | 0.8 | 1.0 | 5 | 6/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Cjarlins Muzane | 10 | 8 | 0 | 2 | 23 | 11 | 24 |
A question about Cjarlins Muzane vs Montebelluna?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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