Match

Vasco da Gama Vidigueira vs Praiense: result 2-0 and analysis

Campeonato de Portugal Prio - Group DGroup D - 13Kick-off on January 7, 2023 at 02:00 PM (UTC)Estádio Municipal de Vidigueira, Vidigueira

Vasco da Gama Vidigueira
2-0
Praiense

Full time

What was the result of Vasco da Gama Vidigueira vs Praiense?

Vasco da Gama Vidigueira won 2-0 on January 7, 2023.

Goalscorers

  • 75′Emmanuel Ikechukwu EzeVasco da Gama Vidigueira
  • 83′Emmanuel Ikechukwu EzeVasco da Gama Vidigueira

What is the recent form of both teams?

Over their last 15 matches in all competitions, Vasco da Gama Vidigueira have 4 wins, 4 draws and 7 defeats; Praiense have 6, 5 and 4.

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

Vasco da Gama Vidigueira
DateOpponentScoreCompetition
Dec 18, 2022Ferreiras(away)0-0Campeonato de Portugal Prio - Group D
Dec 11, 2022Oriental Dragon(away)1-3Campeonato de Portugal Prio - Group D
Dec 4, 2022Olhanense(home)1-0Campeonato de Portugal Prio - Group D
Nov 27, 2022Fabril Barreiro(away)0-3Campeonato de Portugal Prio - Group D
Nov 20, 2022Rabo Peixe(home)0-0Campeonato de Portugal Prio - Group D
Praiense
DateOpponentScoreCompetition
Dec 11, 2022Olhanense(away)1-1Campeonato de Portugal Prio - Group D
Dec 4, 2022Fabril Barreiro(home)2-2Campeonato de Portugal Prio - Group D
Nov 27, 2022Rabo Peixe(away)1-2Campeonato de Portugal Prio - Group D
Nov 20, 2022Angrense(home)1-1Campeonato de Portugal Prio - Group D
Nov 13, 2022Atlético CP(away)0-3Campeonato de Portugal Prio - Group D

How many goals should we expect?

Vasco da Gama Vidigueira score 1.3 and concede 1.7 goals per match over their last 15; Praiense score 1.3 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Vasco da Gama Vidigueira1.31.748/1510/15
Praiense1.31.549/157/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2023-24 standings
#ClubPWDLGFGAPts
11Vasco da Gama Vidigueira268612264530

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

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