AS Puma Generalena vs Sporting San Jose: result 0-2 and analysis
Liga de AscensoApertura - 10Kick-off on September 15, 2018 at 08:00 PM (UTC)Estadio Municipal de Jacó, Jacó
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What was the result of AS Puma Generalena vs Sporting San Jose?
Sporting San Jose won 0-2 on September 15, 2018.
What is the recent form of both teams?
Over their last 8 matches in all competitions, AS Puma Generalena have 6 wins, 1 draws and 1 defeats; Sporting San Jose have 5, 3 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2018 | Curridabat FC(home) | 5-2 | Liga de Ascenso |
| Sep 2, 2018 | Turrialba Fc(away) | 2-0 | Liga de Ascenso |
| Aug 22, 2018 | Escazucena(home) | 4-1 | Liga de Ascenso |
| Aug 19, 2018 | CS Uruguay(away) | 2-2 | Liga de Ascenso |
| Aug 11, 2018 | Aserri FC(home) | 3-1 | Liga de Ascenso |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2018 | Escazucena(away) | 2-1 | Liga de Ascenso |
| Sep 1, 2018 | CS Uruguay(home) | 1-1 | Liga de Ascenso |
| Aug 25, 2018 | Aserri FC(away) | 4-1 | Liga de Ascenso |
| Aug 22, 2018 | Puerto Golfito(home) | 2-1 | Liga de Ascenso |
| Aug 19, 2018 | Cariari Pococi(away) | 2-0 | Liga de Ascenso |
What does the head-to-head say?
Across the last 1 meetings: 0 AS Puma Generalena win(s), 0 draw(s), 1 Sporting San Jose win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 28, 2018 | Sporting San Jose 3-0 AS Puma Generalena | Liga de Ascenso |
Last archived meeting: Sporting San Jose vs AS Puma Generalena on Jul 28, 2018
How many goals should we expect?
AS Puma Generalena score 2.5 and concede 1.3 goals per match over their last 8; Sporting San Jose score 2.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AS Puma Generalena | 2.5 | 1.3 | 2 | 5/8 | 6/8 |
| Sporting San Jose | 2.1 | 0.9 | 2 | 6/8 | 5/8 |
Over the last 8 matches in all competitions.
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