AD Carmelita vs AD Cofutpa: result 3-2 and analysis
Liga de AscensoApertura - 7Kick-off on August 31, 2019 at 09:00 PM (UTC)Estadio Rafael Bolaños, Alajuela
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What was the result of AD Carmelita vs AD Cofutpa?
AD Carmelita won 3-2 on August 31, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, AD Carmelita have 3 wins, 7 draws and 5 defeats; AD Cofutpa have 6, 7 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 18, 2019 | AD Guanacasteca(home) | 3-1 | Liga de Ascenso |
| Aug 11, 2019 | AD Santa Rosa(away) | 4-1 | Liga de Ascenso |
| Aug 7, 2019 | Municipal Liberia(home) | 3-0 | Liga de Ascenso |
| Aug 4, 2019 | Puntarenas FC(away) | 1-1 | Liga de Ascenso |
| Jul 27, 2019 | Rosario(home) | 2-2 | Liga de Ascenso |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 25, 2019 | Barrio México(away) | 2-1 | Liga de Ascenso |
| Aug 14, 2019 | AD Guanacasteca(away) | 1-1 | Liga de Ascenso |
| Aug 7, 2019 | AD Santa Rosa(home) | 1-1 | Liga de Ascenso |
| Aug 4, 2019 | Municipal Liberia(away) | 1-0 | Liga de Ascenso |
| Jul 28, 2019 | Puntarenas FC(home) | 3-0 | Liga de Ascenso |
How many goals should we expect?
AD Carmelita score 1.4 and concede 1.5 goals per match over their last 15; AD Cofutpa score 1.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AD Carmelita | 1.4 | 1.5 | 1 | 11/15 | 8/15 |
| AD Cofutpa | 1.3 | 0.9 | 6 | 9/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
AD Carmelita sit 11th in Liga de Ascenso (2 points from 3 matches) and AD Cofutpa sit 14th (0 points from 3 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | AD Carmelita | 3 | 0 | 2 | 1 | 5 | 6 | 2 |
| 14 | AD Cofutpa | 3 | 0 | 0 | 3 | 2 | 6 | 0 |
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