Match

Bella Vista vs Rampla Juniors: result 3-1 and analysis

Primera División - ClausuraRegular Season - 10Kick-off on April 29, 2012 at 01:15 PM (UTC)Parque José Nasazzi, Montevideo

Bella Vista
3-1
Rampla Juniors

Full time

What was the result of Bella Vista vs Rampla Juniors?

Bella Vista won 3-1 on April 29, 2012.

Goalscorers

  • 2′J. GuarinoBella Vista
  • 7′Paul Michael Dzeruvs SosaRampla Juniors
  • 17′M. AbisabBella Vista
  • 59′I. NicoliniBella Vista

What is the recent form of both teams?

Over their last 9 matches in all competitions, Bella Vista have 2 wins, 2 draws and 5 defeats; Rampla Juniors have 3, 1 and 4.

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

Bella Vista
DateOpponentScoreCompetition
Apr 22, 2012El Tanque Sisley(away)2-1Primera División - Clausura
Apr 14, 2012Cerro Largo(home)1-2Primera División - Clausura
Apr 8, 2012Club Nacional(away)1-3Primera División - Clausura
Apr 1, 2012Rentistas(home)1-0Primera División - Clausura
Mar 25, 2012Cerrito(away)2-3Primera División - Clausura
Rampla Juniors
DateOpponentScoreCompetition
Apr 14, 2012Liverpool Montevideo(home)0-2Primera División - Clausura
Apr 7, 2012Cerro Largo(home)0-3Primera División - Clausura
Apr 1, 2012El Tanque Sisley(away)3-1Primera División - Clausura
Mar 24, 2012CA River Plate(home)2-1Primera División - Clausura
Mar 11, 2012Danubio(away)2-3Primera División - Clausura

How many goals should we expect?

Bella Vista score 1.2 and concede 1.9 goals per match over their last 9; Rampla Juniors score 1.4 and concede 1.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Bella Vista1.21.927/97/9
Rampla Juniors1.41.914/85/8

Over the last 9 matches in all competitions.

Where do both teams sit in the table?

2024 standings
#ClubPWDLGFGAPts
12Rampla Juniors15447121916

A question about Bella Vista vs Rampla Juniors?

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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