Alashkert vs FC Santa Coloma: result 3-0 and analysis
UEFA Champions League1st Qualifying RoundKick-off on July 5, 2016 at 03:00 PM (UTC)Stadion Nairi, Yerevan
Full time
What was the result of Alashkert vs FC Santa Coloma?
Alashkert won 3-0 on July 5, 2016.
Goalscorers
- 12′Vahagn MinasyanAlashkert
- 84′Norayr GyozalyanAlashkert
- 88′Artur YedigaryanAlashkert
What is the recent form of both teams?
Over their last 15 matches in all competitions, Alashkert have 7 wins, 4 draws and 4 defeats; FC Santa Coloma have 9, 5 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 28, 2016 | FC Santa Coloma(away) | 0-0 | UEFA Champions League |
| May 22, 2016 | Mika(away) | 2-0 | Premier League |
| May 18, 2016 | Shirak(home) | 2-3 | Premier League |
| May 14, 2016 | Ararat(home) | 0-1 | Premier League |
| May 8, 2016 | Ulisses(away) | 3-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 28, 2016 | Alashkert(home) | 0-0 | UEFA Champions League |
| May 6, 2016 | UE Santa Coloma(home) | 0-1 | 1a Divisió |
| Apr 24, 2016 | UE Sant Julia(away) | 0-0 | 1a Divisió |
| Apr 17, 2016 | Lusitanos(home) | 0-0 | 1a Divisió |
| Apr 10, 2016 | UE Santa Coloma(away) | 1-0 | 1a Divisió |
What does the head-to-head say?
Across the last 1 meetings: 0 Alashkert win(s), 1 draw(s), 0 FC Santa Coloma win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 28, 2016 | FC Santa Coloma 0-0 Alashkert | UEFA Champions League |
Last archived meeting: FC Santa Coloma vs Alashkert on Jun 28, 2016
How many goals should we expect?
Alashkert score 1.5 and concede 0.8 goals per match over their last 15; FC Santa Coloma score 1.8 and concede 0.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Alashkert | 1.5 | 0.8 | 8 | 5/15 | 9/15 |
| FC Santa Coloma | 1.8 | 0.1 | 13 | 1/15 | 5/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy