CA River Plate vs Villa Espanola: result 2-1 and analysis
Primera DivisiónRegular Season - 13Kick-off on November 26, 2016 at 07:30 PM (UTC)Parque Federico Omar Saroldi, Montevideo
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What was the result of CA River Plate vs Villa Espanola?
CA River Plate won 2-1 on November 26, 2016.
Goalscorers
- 17′Pablo Martín Silva SilvaVilla Espanola
- 39′M. SaavedraCA River Plate
- 59′M. SaavedraCA River Plate
What is the recent form of both teams?
Over their last 15 matches in all competitions, CA River Plate have 2 wins, 3 draws and 10 defeats; Villa Espanola have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 19, 2016 | Racing Montevideo(away) | 1-2 | Primera División |
| Nov 13, 2016 | Rampla Juniors(away) | 2-0 | Primera División |
| Oct 30, 2016 | Club Nacional(away) | 1-3 | Primera División |
| Oct 23, 2016 | Danubio(away) | 1-2 | Primera División |
| Oct 16, 2016 | Plaza Colonia(home) | 2-1 | Primera División |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 19, 2016 | Boston River(home) | 0-3 | Primera División |
| Nov 12, 2016 | Defensor Sporting(home) | 2-2 | Primera División |
| Oct 30, 2016 | Juventud(away) | 1-1 | Primera División |
| Oct 22, 2016 | Cerro(home) | 2-0 | Primera División |
| Oct 15, 2016 | Penarol(away) | 1-2 | Primera División |
How many goals should we expect?
CA River Plate score 0.9 and concede 2.1 goals per match over their last 15; Villa Espanola score 0.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| CA River Plate | 0.9 | 2.1 | 2 | 9/15 | 10/15 |
| Villa Espanola | 0.9 | 1.5 | 2 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 16 | CA River Plate | 22 | 3 | 6 | 13 | 16 | 30 | 15 |
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