Futbol Consultants Moravia vs AS Puma Generalena: result 1-1 and analysis
Liga de AscensoApertura - 3Kick-off on August 7, 2019 at 11:00 PM (UTC)Estadio Municipal El Labrador de Coronado, San Jose
Full time
What was the result of Futbol Consultants Moravia vs AS Puma Generalena?
Futbol Consultants Moravia and AS Puma Generalena drew 1-1 on August 7, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Futbol Consultants Moravia have 5 wins, 2 draws and 8 defeats; AS Puma Generalena have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 4, 2019 | Curridabat FC(away) | 1-1 | Liga de Ascenso |
| Jul 27, 2019 | Turrialba Fc(home) | 2-0 | Liga de Ascenso |
| Apr 14, 2019 | Deportivo Cartagena(away) | 0-1 | Liga de Ascenso |
| Apr 4, 2019 | AD Guanacasteca(home) | 2-0 | Liga de Ascenso |
| Mar 31, 2019 | Municipal Liberia(away) | 0-1 | Liga de Ascenso |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 3, 2019 | Sporting San Jose(home) | 1-0 | Liga de Ascenso |
| Jul 28, 2019 | Puerto Golfito(away) | 0-0 | Liga de Ascenso |
| May 5, 2019 | ADR Jicaral(away) | 0-1 | Liga de Ascenso |
| May 1, 2019 | ADR Jicaral(home) | 0-0 | Liga de Ascenso |
| Apr 28, 2019 | Santa Ana(away) | 1-0 | Liga de Ascenso |
How many goals should we expect?
Futbol Consultants Moravia score 1.2 and concede 1.3 goals per match over their last 15; AS Puma Generalena score 0.5 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Futbol Consultants Moravia | 1.2 | 1.3 | 3 | 8/15 | 7/15 |
| AS Puma Generalena | 0.5 | 0.7 | 9 | 2/15 | 1/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Futbol Consultants Moravia | 3 | 0 | 1 | 2 | 2 | 4 | 1 |
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