Campodarsego vs Ambrosiana: result 0-0 and analysis
Serie D - Girone CRegular Season - 7Kick-off on October 6, 2019 at 01:00 PM (UTC)Centro Sportivo Il Gabbiano, Campodarsego
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What was the result of Campodarsego vs Ambrosiana?
Campodarsego and Ambrosiana drew 0-0 on October 6, 2019.
What is the recent form of both teams?
Over their last 7 matches in all competitions, Campodarsego have 3 wins, 3 draws and 1 defeat; Ambrosiana have 3, 0 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2019 | Tamai(away) | 2-1 | Serie D - Girone C |
| Sep 22, 2019 | San Luigi(home) | 1-0 | Serie D - Girone C |
| Sep 15, 2019 | Este(away) | 3-1 | Serie D - Girone C |
| Sep 11, 2019 | Delta Porto Tolle(home) | 0-0 | Serie D - Girone C |
| Sep 7, 2019 | Montebelluna(away) | 1-1 | Serie D - Girone C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2019 | Clodiense(home) | 1-3 | Serie D - Girone C |
| Sep 22, 2019 | Luparense(away) | 0-2 | Serie D - Girone C |
| Sep 15, 2019 | Cjarlins Muzane(away) | 1-2 | Serie D - Girone C |
| Sep 11, 2019 | Vigasio(home) | 2-0 | Serie D - Girone C |
| Sep 8, 2019 | Tamai(away) | 3-0 | Serie D - Girone C |
How many goals should we expect?
Campodarsego score 1.3 and concede 0.9 goals per match over their last 7; Ambrosiana score 1.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Campodarsego | 1.3 | 0.9 | 2 | 4/7 | 3/7 |
| Ambrosiana | 1.7 | 1.5 | 2 | 3/6 | 4/6 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Campodarsego | 7 | 4 | 1 | 2 | 14 | 9 | 13 |
A question about Campodarsego vs Ambrosiana?
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