San Pedro vs Sacachispas: result 2-0 and analysis
Primera DivisionApertura - Quarter-finalsKick-off on November 24, 2013 at 09:00 PM (UTC)Estadio Municipal de San Pedro Sacatepéquez, San Pedro Sacatepéquez
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What was the result of San Pedro vs Sacachispas?
San Pedro won 2-0 on November 24, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, San Pedro have 7 wins, 2 draws and 6 defeats; Sacachispas have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2013 | Barillas(home) | 3-0 | Primera Division |
| Nov 10, 2013 | Nueva Concepción(away) | 0-2 | Primera Division |
| Nov 3, 2013 | Deportivo Petapa(home) | 1-0 | Primera Division |
| Oct 27, 2013 | Huehueteco(away) | 0-2 | Primera Division |
| Oct 20, 2013 | Aurora(home) | 1-0 | Primera Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2013 | San Francisco(away) | 0-1 | Primera Division |
| Nov 10, 2013 | Cobán Imperial(home) | 1-0 | Primera Division |
| Nov 3, 2013 | Jalapa(away) | 2-2 | Primera Division |
| Oct 27, 2013 | Achuapa(home) | 1-0 | Primera Division |
| Oct 20, 2013 | Sayaxché(away) | 2-2 | Primera Division |
How many goals should we expect?
San Pedro score 1.1 and concede 1.1 goals per match over their last 15; Sacachispas score 1.4 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| San Pedro | 1.1 | 1.1 | 6 | 4/15 | 5/15 |
| Sacachispas | 1.4 | 0.7 | 7 | 4/15 | 4/15 |
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 |
A question about San Pedro vs Sacachispas?
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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