Perez Zeledon vs AD Carmelita: result 2-0 and analysis
Primera DivisiónTorneo de Invierno - 7Kick-off on August 10, 2016 at 06:00 PM (UTC)Estadio Municipal Pérez Zeledón, San Isidro de El General
Full time
What was the result of Perez Zeledon vs AD Carmelita?
Perez Zeledon won 2-0 on August 10, 2016.
Goalscorers
- 88′Keilor Gerardo Soto VegaPerez Zeledon (pen.)
- 90′A. NavarroPerez Zeledon
What is the recent form of both teams?
Over their last 5 matches in all competitions, Perez Zeledon have 1 wins, 2 draws and 2 defeats; AD Carmelita have 2, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 7, 2016 | Univ. DE Costa Rica(away) | 1-1 | Primera División |
| Jul 31, 2016 | LD Alajuelense(away) | 1-2 | Primera División |
| Jul 24, 2016 | Guadalupe FC(home) | 3-1 | Primera División |
| Jul 21, 2016 | Municipal Liberia(away) | 0-0 | Primera División |
| Jul 17, 2016 | CS Herediano(away) | 1-2 | Primera División |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 7, 2016 | Limon FC(home) | 3-1 | Primera División |
| Jul 31, 2016 | San Carlos(away) | 0-1 | Primera División |
| Jul 29, 2016 | Guadalupe FC(home) | 2-0 | Primera División |
| Jul 24, 2016 | Deportivo Saprissa(away) | 0-4 | Primera División |
| Jul 21, 2016 | CS Cartagines(away) | 1-1 | Primera División |
How many goals should we expect?
Perez Zeledon score 1.2 and concede 1.2 goals per match over their last 5; AD Carmelita score 1.2 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Perez Zeledon | 1.2 | 1.2 | 1 | 4/5 | 3/5 |
| AD Carmelita | 1.2 | 1.8 | 1 | 3/6 | 3/6 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Perez Zeledon | 5 | 1 | 1 | 3 | 2 | 7 | 4 |
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