Montebelluna vs Clodiense: result 1-1 and analysis
Serie D - Girone CRegular Season - 17Kick-off on December 8, 2019 at 01:30 PM (UTC)Stadio San Vigilio, Montebelluna
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What was the result of Montebelluna vs Clodiense?
Montebelluna and Clodiense drew 1-1 on December 8, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Montebelluna have 4 wins, 7 draws and 4 defeats; Clodiense 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 |
|---|---|---|---|
| Dec 1, 2019 | Cjarlins Muzane(away) | 2-1 | Serie D - Girone C |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 1, 2019 | Villafranca(home) | 2-2 | Serie D - Girone C |
| Nov 24, 2019 | Mestre(away) | 0-2 | Serie D - Girone C |
| Nov 17, 2019 | Chions(home) | 3-2 | Serie D - Girone C |
| Nov 10, 2019 | Caldiero Terme(away) | 1-0 | Serie D - Girone C |
| Nov 3, 2019 | Cartigliano(home) | 2-3 | Serie D - Girone C |
How many goals should we expect?
Montebelluna score 0.8 and concede 0.9 goals per match over their last 15; Clodiense score 1.7 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Montebelluna | 0.8 | 0.9 | 5 | 6/15 | 3/15 |
| Clodiense | 1.7 | 1.2 | 5 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Clodiense | 6 | 3 | 1 | 2 | 9 | 8 | 10 |
A question about Montebelluna vs Clodiense?
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