AD Guanacasteca vs AD Santa Rosa: result 0-1 and analysis
Liga de AscensoApertura - 13Kick-off on September 30, 2018 at 08:00 PM (UTC)Estadio Chorotega, Nicoya
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What was the result of AD Guanacasteca vs AD Santa Rosa?
AD Santa Rosa won 0-1 on September 30, 2018.
What is the recent form of both teams?
Over their last 11 matches in all competitions, AD Guanacasteca have 5 wins, 2 draws and 4 defeats; AD Santa Rosa have 3, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2018 | ADR Jicaral(away) | 0-4 | Liga de Ascenso |
| Sep 23, 2018 | Santa Ana(home) | 0-0 | Liga de Ascenso |
| Sep 16, 2018 | AD Cofutpa(away) | 3-1 | Liga de Ascenso |
| Sep 8, 2018 | Puntarenas FC(away) | 1-3 | Liga de Ascenso |
| Sep 2, 2018 | Deportivo Cartagena(home) | 1-4 | Liga de Ascenso |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2018 | Municipal Liberia(home) | 2-1 | Liga de Ascenso |
| Sep 16, 2018 | ADR Jicaral(away) | 0-3 | Liga de Ascenso |
| Sep 9, 2018 | Santa Ana(away) | 0-2 | Liga de Ascenso |
| Sep 2, 2018 | AD Cofutpa(home) | 2-2 | Liga de Ascenso |
| Aug 26, 2018 | Puntarenas FC(away) | 0-1 | Liga de Ascenso |
What does the head-to-head say?
Across the last 1 meetings: 1 AD Guanacasteca win(s), 0 draw(s), 0 AD Santa Rosa win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 12, 2018 | AD Santa Rosa 1-2 AD Guanacasteca | Liga de Ascenso |
Last archived meeting: AD Santa Rosa vs AD Guanacasteca on Aug 12, 2018
How many goals should we expect?
AD Guanacasteca score 1.4 and concede 1.5 goals per match over their last 11; AD Santa Rosa score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AD Guanacasteca | 1.4 | 1.5 | 4 | 6/11 | 6/11 |
| AD Santa Rosa | 1.1 | 1.5 | 1 | 6/10 | 6/10 |
Over the last 11 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