Cova De Piedade vs Aves: result 1-3 and analysis
Segunda LigaRegular Season - 41Kick-off on May 13, 2017 at 10:15 AM (UTC)Estádio Municipal José Martins Vieira, Almada
Full time
What was the result of Cova De Piedade vs Aves?
Aves won 1-3 on May 13, 2017.
Goalscorers
- 28′Diego Francisco RochaCova De Piedade (pen.)
- 56′41837Aves
- 90′Alexandre GuedesAves
- 90′Alexandre GuedesAves
What is the recent form of both teams?
Over their last 15 matches in all competitions, Cova De Piedade have 5 wins, 4 draws and 6 defeats; Aves have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 7, 2017 | Vizela(away) | 3-2 | Segunda Liga |
| Apr 30, 2017 | Varzim(home) | 1-0 | Segunda Liga |
| Apr 23, 2017 | GIL Vicente(away) | 2-2 | Segunda Liga |
| Apr 19, 2017 | Famalicao(away) | 0-3 | Segunda Liga |
| Apr 15, 2017 | Fafe(home) | 3-1 | Segunda Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 7, 2017 | Penafiel(home) | 2-1 | Segunda Liga |
| Apr 30, 2017 | U. Madeira(away) | 2-2 | Segunda Liga |
| Apr 23, 2017 | Famalicao(home) | 2-0 | Segunda Liga |
| Apr 19, 2017 | Portimonense(away) | 1-2 | Segunda Liga |
| Apr 15, 2017 | SC Covilha(home) | 2-1 | Segunda Liga |
What does the head-to-head say?
Across the last 1 meetings: 0 Cova De Piedade win(s), 0 draw(s), 1 Aves win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 21, 2016 | Aves 1-0 Cova De Piedade | Segunda Liga |
Last archived meeting: Aves vs Cova De Piedade on Dec 21, 2016
How many goals should we expect?
Cova De Piedade score 1.1 and concede 1.5 goals per match over their last 15; Aves score 1.2 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cova De Piedade | 1.1 | 1.5 | 2 | 8/15 | 7/15 |
| Aves | 1.2 | 1.1 | 5 | 9/15 | 6/15 |
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