San Pedro vs Siquinalá: result 0-2 and analysis
Primera DivisionAperturaKick-off on November 13, 2016 at 05:00 PM (UTC)Estadio Municipal de San Pedro Sacatepéquez, San Pedro Sacatepéquez
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What was the result of San Pedro vs Siquinalá?
Siquinalá won 0-2 on November 13, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, San Pedro have 5 wins, 2 draws and 8 defeats; Siquinalá have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2016 | Rosario(away) | 0-3 | Primera Division |
| Oct 30, 2016 | Escuintla(home) | 4-0 | Primera Division |
| Oct 23, 2016 | Barillas(away) | 1-2 | Primera Division |
| Oct 19, 2016 | Iztapa(home) | 5-3 | Primera Division |
| Oct 16, 2016 | Santa Lucía(away) | 0-2 | Primera Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2016 | Nueva Concepción(home) | 3-1 | Primera Division |
| Oct 30, 2016 | Rosario(home) | 1-0 | Primera Division |
| Oct 23, 2016 | Escuintla(away) | 0-1 | Primera Division |
| Oct 19, 2016 | Barillas(home) | 2-0 | Primera Division |
| Oct 16, 2016 | Iztapa(away) | 1-1 | Primera Division |
What does the head-to-head say?
Across the last 1 meetings: 0 San Pedro win(s), 0 draw(s), 1 Siquinalá win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 18, 2016 | Siquinalá 3-1 San Pedro | Primera Division |
Last archived meeting: Siquinalá vs San Pedro on Sep 18, 2016
How many goals should we expect?
San Pedro score 1.7 and concede 1.4 goals per match over their last 15; Siquinalá score 1.3 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| San Pedro | 1.7 | 1.4 | 4 | 5/15 | 8/15 |
| Siquinalá | 1.3 | 0.6 | 8 | 5/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | San Pedro | 18 | 8 | 6 | 4 | 26 | 18 | 30 |
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