San Pedro vs Rosario: result 2-0 and analysis
Primera DivisionClausuraKick-off on January 29, 2017 at 06:00 PM (UTC)Estadio Juan Ramón Ponce Way, San Pedro Carchá
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What was the result of San Pedro vs Rosario?
San Pedro won 2-0 on January 29, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, San Pedro have 6 wins, 1 draws and 8 defeats; Rosario have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 22, 2017 | Siquinalá(away) | 1-2 | Primera Division |
| Jan 15, 2017 | Santa Lucía(home) | 2-1 | Primera Division |
| Nov 13, 2016 | Siquinalá(home) | 0-2 | Primera Division |
| Nov 6, 2016 | Rosario(away) | 0-3 | Primera Division |
| Oct 30, 2016 | Escuintla(home) | 4-0 | Primera Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 22, 2017 | Santa Lucía(away) | 1-2 | Primera Division |
| Jan 15, 2017 | Deportivo Chiantla(home) | 1-1 | Primera Division |
| Nov 13, 2016 | Deportivo Chiantla(away) | 2-4 | Primera Division |
| Nov 6, 2016 | San Pedro(home) | 3-0 | Primera Division |
| Oct 30, 2016 | Siquinalá(away) | 0-1 | Primera Division |
What does the head-to-head say?
Across the last 2 meetings: 1 San Pedro win(s), 0 draw(s), 1 Rosario win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 6, 2016 | Rosario 3-0 San Pedro | Primera Division |
| Sep 11, 2016 | San Pedro 4-1 Rosario | Primera Division |
How many goals should we expect?
San Pedro score 1.9 and concede 1.5 goals per match over their last 15; Rosario score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| San Pedro | 1.9 | 1.5 | 3 | 7/15 | 10/15 |
| Rosario | 1.1 | 1.5 | 4 | 7/15 | 7/15 |
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