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
Full time
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 |
|---|---|---|---|---|---|---|---|---|
| 7 | Cerro | 10 | 5 | 2 | 3 | 12 | 13 | 17 |
A question about Villa Espanola vs Cerro?
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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