CS Herediano vs AD Carmelita: result 3-0 and analysis
Primera DivisiónTorneo de Invierno - 11Kick-off on September 11, 2016 at 02:00 AM (UTC)Estadio Eladio Rosabal Cordero, Heredia
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What was the result of CS Herediano vs AD Carmelita?
CS Herediano won 3-0 on September 11, 2016.
Goalscorers
- 5′Jonathan Alberto HansenCS Herediano
- 67′E. AguilarCS Herediano
- 69′G. TorresCS Herediano
What is the recent form of both teams?
Over their last 15 matches in all competitions, CS Herediano have 5 wins, 7 draws and 3 defeats; AD Carmelita have 4, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 28, 2016 | Limon FC(away) | 2-2 | Primera División |
| Aug 21, 2016 | CS Cartagines(home) | 3-3 | Primera División |
| Aug 18, 2016 | Tigres UANL(home) | 1-3 | CONCACAF Champions League |
| Aug 14, 2016 | San Carlos(away) | 3-0 | Primera División |
| Aug 12, 2016 | Univ. DE Costa Rica(home) | 1-1 | Primera División |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2016 | Santos DE Guapiles(home) | 0-2 | Primera División |
| Aug 21, 2016 | LD Alajuelense(away) | 1-0 | Primera División |
| Aug 17, 2016 | Municipal Liberia(home) | 1-0 | Primera División |
| Aug 10, 2016 | Perez Zeledon(away) | 0-2 | Primera División |
| Aug 7, 2016 | Limon FC(home) | 3-1 | Primera División |
How many goals should we expect?
CS Herediano score 1.5 and concede 1.4 goals per match over their last 15; AD Carmelita score 0.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| CS Herediano | 1.5 | 1.4 | 2 | 11/15 | 9/15 |
| AD Carmelita | 0.9 | 1.5 | 3 | 3/10 | 3/10 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | CS Herediano | 5 | 0 | 2 | 3 | 2 | 9 | 2 |
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