Villa Espanola vs Cerro: result 2-0 and analysis
Primera DivisiónRegular Season - 9Kick-off on October 22, 2016 at 07:00 PM (UTC)Estadio Obdulio Varela, Montevideo
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What was the result of Villa Espanola vs Cerro?
Villa Espanola won 2-0 on October 22, 2016.
Goalscorers
- 26′Pablo Martín Silva SilvaVilla Espanola
- 90′S. FelipeVilla Espanola
What is the recent form of both teams?
Over their last 15 matches in all competitions, Villa Espanola have 4 wins, 3 draws and 8 defeats; Cerro have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2016 | Penarol(away) | 1-2 | Primera División |
| Oct 9, 2016 | Racing Montevideo(home) | 1-1 | Primera División |
| Oct 2, 2016 | Club Nacional(home) | 0-1 | Primera División |
| Sep 24, 2016 | Liverpool Montevideo(away) | 0-1 | Primera División |
| Sep 18, 2016 | Plaza Colonia(home) | 2-4 | Primera División |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2016 | Danubio(home) | 0-1 | Primera División |
| Oct 9, 2016 | Plaza Colonia(away) | 3-2 | Primera División |
| Oct 2, 2016 | Liverpool Montevideo(home) | 2-0 | Primera División |
| Sep 24, 2016 | Defensor Sporting(away) | 1-0 | Primera División |
| Sep 17, 2016 | Juventud(home) | 1-1 | Primera División |
How many goals should we expect?
Villa Espanola score 1.0 and concede 1.3 goals per match over their last 15; Cerro score 1.4 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Villa Espanola | 1.0 | 1.3 | 4 | 7/15 | 6/15 |
| Cerro | 1.4 | 1.2 | 4 | 9/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Cerro | 3 | 2 | 0 | 1 | 3 | 5 | 6 |
| 6 | Cerro | 7 | 3 | 0 | 4 | 6 | 10 | 9 |
| 13 | Cerro | 62 | 19 | 15 | 28 | 50 | 81 | 71 |
| 14 | Cerro | 25 | 7 | 4 | 14 | 17 | 39 | 25 |
| 16 | Cerro | 15 | 2 | 4 | 9 | 8 | 24 | 10 |
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