Siquinalá vs Deportivo Sanarate: result 1-0 and analysis
Primera DivisionApertura - FinalsKick-off on December 4, 2016 at 05:00 PM (UTC)Estadio Municipal Mateo Sicay Paz, Siquinalá
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What was the result of Siquinalá vs Deportivo Sanarate?
Siquinalá won 1-0 on December 4, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Siquinalá have 8 wins, 4 draws and 3 defeats; Deportivo Sanarate have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 30, 2016 | Deportivo Sanarate(away) | 1-1 | Primera Division |
| Nov 27, 2016 | Mixco(home) | 1-0 | Primera Division |
| Nov 23, 2016 | Mixco(away) | 2-2 | Primera Division |
| Nov 20, 2016 | Sacachispas(home) | 1-0 | Primera Division |
| Nov 17, 2016 | Sacachispas(away) | 1-2 | Primera Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 30, 2016 | Siquinalá(home) | 1-1 | Primera Division |
| Nov 27, 2016 | Deportivo Reu(away) | 0-0 | Primera Division |
| Nov 23, 2016 | Deportivo Reu(home) | 2-1 | Primera Division |
| Nov 20, 2016 | Iztapa(home) | 3-0 | Primera Division |
| Nov 16, 2016 | Iztapa(away) | 0-2 | Primera Division |
What does the head-to-head say?
Across the last 1 meetings: 0 Siquinalá win(s), 1 draw(s), 0 Deportivo Sanarate win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 30, 2016 | Deportivo Sanarate 1-1 Siquinalá | Primera Division |
Last archived meeting: Deportivo Sanarate vs Siquinalá on Nov 30, 2016
How many goals should we expect?
Siquinalá score 1.3 and concede 0.7 goals per match over their last 15; Deportivo Sanarate score 1.8 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Siquinalá | 1.3 | 0.7 | 7 | 6/15 | 4/15 |
| Deportivo Sanarate | 1.8 | 0.9 | 7 | 6/15 | 6/15 |
Over the last 15 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