Rosario vs San Pedro: result 3-0 and analysis
Primera DivisionAperturaKick-off on November 6, 2016 at 02:00 AM (UTC)
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What was the result of Rosario vs San Pedro?
Rosario won 3-0 on November 6, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rosario have 5 wins, 4 draws and 6 defeats; San Pedro have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2016 | Siquinalá(away) | 0-1 | Primera Division |
| Oct 23, 2016 | Nueva Concepción(away) | 0-4 | Primera Division |
| Oct 20, 2016 | Escuintla(home) | 1-1 | Primera Division |
| Oct 16, 2016 | Barillas(away) | 0-2 | Primera Division |
| Oct 9, 2016 | Iztapa(home) | 0-2 | Primera Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Oct 9, 2016 | Deportivo Reu(home) | 0-0 | Primera Division |
What does the head-to-head say?
In the last meeting: 0 Rosario wins, 0 draws, 1 San Pedro win.
| Date | Score | Competition |
|---|---|---|
| Sep 11, 2016 | San Pedro 4-1 Rosario | Primera Division |
How many goals should we expect?
Rosario score 1.0 and concede 1.3 goals per match over their last 15; San Pedro score 1.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rosario | 1.0 | 1.3 | 5 | 6/15 | 5/15 |
| San Pedro | 1.9 | 1.3 | 4 | 6/15 | 8/15 |
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 Rosario vs San Pedro?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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