Match

Rosario vs San Pedro: prediction and stats

Primera DivisionClausura - 16Kick-off on April 7, 2019 at 12:00 AM (UTC)

RosarioSan Pedro

Match cancelled

What is the recent form of both teams?

Over their last 15 matches in all competitions, Rosario have 1 win, 1 draw and 13 defeats; San Pedro have 6, 4 and 5.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Rosario
DateOpponentScoreCompetition
Nov 25, 2018Sololá(away)1-3Primera Division
Nov 18, 2018Suchitepéquez(home)2-4Primera Division
Nov 11, 2018San Pedro(home)0-3Primera Division
Nov 4, 2018Chimaltenango(away)1-7Primera Division
Oct 31, 2018Santa Lucía(home)1-5Primera Division
San Pedro
DateOpponentScoreCompetition
Mar 31, 2019Suchitepéquez(home)3-0Primera Division
Mar 27, 2019Nueva Concepción(away)0-1Primera Division
Mar 24, 2019Deportivo Reu(home)4-0Primera Division
Mar 17, 2019Quiché(away)0-2Primera Division
Mar 10, 2019Sololá(home)1-2Primera Division

What does the head-to-head say?

Across the last 6 meetings: 2 Rosario wins, 0 draws, 4 San Pedro wins.

DateScoreCompetition
Nov 11, 2018Rosario 0-3 San PedroPrimera Division
Sep 16, 2018San Pedro 2-0 RosarioPrimera Division
Mar 26, 2017Rosario 3-1 San PedroPrimera Division
Jan 29, 2017San Pedro 2-0 RosarioPrimera Division
Nov 6, 2016Rosario 3-0 San PedroPrimera Division
Sep 11, 2016San Pedro 4-1 RosarioPrimera Division

Last archived meeting: Rosario vs San Pedro on Nov 11, 2018

How many goals should we expect?

Rosario score 0.7 and concede 3.4 goals per match over their last 15; San Pedro score 1.7 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Rosario0.73.418/1510/15
San Pedro1.71.157/158/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2024-25 standings
#ClubPWDLGFGAPts
2San Pedro18864261830

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

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