SUD America vs Cerro: result 2-4 and analysis
Primera DivisiónRegular Season - 6Kick-off on October 5, 2013 at 06:30 PM (UTC)Parque Palermo, Montevideo
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What was the result of SUD America vs Cerro?
Cerro won 2-4 on October 5, 2013.
Goalscorers
- 28′Héctor Fabián Acuña MacielCerro
- 38′J. CobelliSUD America
- 52′J. CobelliSUD America
- 54′Héctor Fabián Acuña MacielCerro
- 58′M. AbisabCerro
- 82′Héctor Fabián Acuña MacielCerro
What is the recent form of both teams?
Over their last 15 matches in all competitions, SUD America have 6 wins, 5 draws and 4 defeats; Cerro have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2013 | Cerro Largo(away) | 0-2 | Primera División |
| Sep 14, 2013 | Miramar(home) | 0-0 | Primera División |
| Sep 1, 2013 | Club Nacional(away) | 1-3 | Primera División |
| Aug 24, 2013 | Fenix(home) | 3-2 | Primera División |
| Aug 18, 2013 | Juventud(away) | 2-0 | Primera División |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2013 | Racing Montevideo(home) | 0-1 | Primera División |
| Sep 15, 2013 | Rentistas(home) | 0-2 | Primera División |
| Sep 1, 2013 | CA River Plate(home) | 3-5 | Primera División |
| Aug 25, 2013 | Danubio(away) | 1-2 | Primera División |
| Aug 18, 2013 | Wanderers(home) | 3-1 | Primera División |
How many goals should we expect?
SUD America score 1.4 and concede 0.9 goals per match over their last 15; Cerro score 1.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SUD America | 1.4 | 0.9 | 8 | 5/15 | 6/15 |
| Cerro | 1.3 | 1.7 | 1 | 10/15 | 9/15 |
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