Siquinalá vs Deportivo Chiantla: result 2-0 and analysis
Primera DivisionAperturaKick-off on September 25, 2016 at 05:00 PM (UTC)Estadio Municipal Mateo Sicay Paz, Siquinalá
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What was the result of Siquinalá vs Deportivo Chiantla?
Siquinalá won 2-0 on September 25, 2016.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Siquinalá have 4 wins, 2 draws and 3 defeats; Deportivo Chiantla have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 18, 2016 | San Pedro(home) | 3-1 | Primera Division |
| Sep 11, 2016 | Nueva Concepción(away) | 1-0 | Primera Division |
| Sep 5, 2016 | Rosario(away) | 0-0 | Primera Division |
| Aug 28, 2016 | Escuintla(home) | 3-1 | Primera Division |
| Aug 24, 2016 | Barillas(away) | 1-3 | Primera Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 19, 2016 | Rosario(away) | 0-2 | Primera Division |
| Sep 11, 2016 | Escuintla(home) | 2-1 | Primera Division |
| Sep 4, 2016 | Barillas(away) | 1-2 | Primera Division |
| Aug 28, 2016 | Iztapa(home) | 3-0 | Primera Division |
| Aug 24, 2016 | Santa Lucía(away) | 0-0 | Primera Division |
What does the head-to-head say?
In the last meeting: 0 Siquinalá wins, 0 draws, 1 Deportivo Chiantla win.
| Date | Score | Competition |
|---|---|---|
| Jul 31, 2016 | Deportivo Chiantla 2-0 Siquinalá | Primera Division |
Last archived meeting: Deportivo Chiantla vs Siquinalá on Jul 31, 2016
How many goals should we expect?
Siquinalá score 1.4 and concede 1.1 goals per match over their last 9; Deportivo Chiantla score 1.4 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Siquinalá | 1.4 | 1.1 | 4 | 4/9 | 5/9 |
| Deportivo Chiantla | 1.4 | 1.2 | 5 | 8/15 | 8/15 |
Over the last 9 matches in all competitions.
A question about Siquinalá vs Deportivo Chiantla?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy