Ambrosiana vs Tamai: result 5-0 and analysis
Serie D - Girone CRegular Season - 21Kick-off on January 11, 2020 at 01:30 PM (UTC)Stadio Montindon, Sant'ambrogio Di Valpolicella
Full time
What was the result of Ambrosiana vs Tamai?
Ambrosiana won 5-0 on January 11, 2020.
Goalscorers
- 7′?Ambrosiana
- 14′?Ambrosiana
- 55′?Ambrosiana
- 83′?Ambrosiana
- 85′?Ambrosiana
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ambrosiana have 6 wins, 5 draws and 4 defeats; Tamai have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 5, 2020 | San Luigi(away) | 1-1 | Serie D - Girone C |
| Dec 22, 2019 | Este(away) | 1-4 | Serie D - Girone C |
| Dec 15, 2019 | Delta Porto Tolle(home) | 2-1 | Serie D - Girone C |
| Dec 8, 2019 | Union Feltre(away) | 1-0 | Serie D - Girone C |
| Dec 1, 2019 | Mestre(home) | 3-0 | Serie D - Girone C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 5, 2020 | Clodiense(home) | 3-0 | Serie D - Girone C |
| Dec 22, 2019 | San Luigi(home) | 0-4 | Serie D - Girone C |
| Dec 14, 2019 | Cjarlins Muzane(away) | 1-2 | Serie D - Girone C |
| Dec 8, 2019 | Vigasio(home) | 0-1 | Serie D - Girone C |
| Dec 1, 2019 | Este(home) | 2-0 | Serie D - Girone C |
What does the head-to-head say?
In the last meeting: 1 Ambrosiana win, 0 draws, 0 Tamai wins.
| Date | Score | Competition |
|---|---|---|
| Sep 8, 2019 | Tamai 0-3 Ambrosiana | 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; Tamai score 0.8 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ambrosiana | 1.5 | 1.3 | 4 | 11/15 | 8/15 |
| Tamai | 0.8 | 1.5 | 3 | 5/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Ambrosiana vs Tamai?
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