Ambrosiana vs Mestre: result 3-0 and analysis
Serie D - Girone CRegular Season - 16Kick-off on December 1, 2019 at 01:30 PM (UTC)Stadio Montindon, Sant'ambrogio Di Valpolicella
Full time
What was the result of Ambrosiana vs Mestre?
Ambrosiana won 3-0 on December 1, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ambrosiana have 6 wins, 4 draws and 5 defeats; Mestre have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2019 | Montebelluna(away) | 2-0 | Serie D - Girone C |
| Nov 17, 2019 | Caldiero Terme(home) | 1-1 | Serie D - Girone C |
| Nov 10, 2019 | Villafranca(away) | 4-2 | Serie D - Girone C |
| Nov 3, 2019 | Legnago Salus(home) | 1-1 | Serie D - Girone C |
| Oct 30, 2019 | Chions(away) | 1-2 | Serie D - Girone C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2019 | Clodiense(home) | 2-0 | Serie D - Girone C |
| Nov 17, 2019 | San Luigi(away) | 2-1 | Serie D - Girone C |
| Nov 10, 2019 | Cjarlins Muzane(home) | 3-1 | Serie D - Girone C |
| Nov 3, 2019 | Delta Porto Tolle(away) | 3-1 | Serie D - Girone C |
| Oct 30, 2019 | Tamai(home) | 1-0 | Serie D - Girone C |
How many goals should we expect?
Ambrosiana score 1.5 and concede 1.3 goals per match over their last 15; Mestre score 1.7 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ambrosiana | 1.5 | 1.3 | 4 | 10/15 | 8/15 |
| Mestre | 1.7 | 1.2 | 3 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Mestre | 8 | 2 | 4 | 2 | 10 | 10 | 10 |
A question about Ambrosiana vs Mestre?
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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