Match

Juventus Bucuresti vs CS Luceafarul Oradea: result 3-1 and analysis

Liga IIRegular Season - 15Kick-off on November 3, 2018 at 09:00 AM (UTC)Stadionul Juventus, Bucureşti

Juventus Bucuresti
3-1
CS Luceafarul Oradea

Full time

What was the result of Juventus Bucuresti vs CS Luceafarul Oradea?

Juventus Bucuresti won 3-1 on November 3, 2018.

Goalscorers

  • 34′Alexandru Eugen NicaJuventus Bucuresti
  • 40′A. VoicuJuventus Bucuresti
  • 64′Arthur TeuţJuventus Bucuresti
  • 71′C. CodobanCS Luceafarul Oradea (pen.)

What is the recent form of both teams?

Over their last 15 matches in all competitions, Juventus Bucuresti have 3 wins, 6 draws and 6 defeats; CS Luceafarul Oradea have 5, 3 and 7.

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

Juventus Bucuresti
DateOpponentScoreCompetition
Oct 26, 2018CS Mioveni(away)1-2Liga II
Oct 21, 2018Petrolul Ploiesti(home)1-2Liga II
Oct 13, 2018Arges Pitesti(away)1-1Liga II
Oct 10, 2018Aerostar Bacau(home)3-0Liga II
Oct 7, 2018Universitatea Cluj(away)1-1Liga II
CS Luceafarul Oradea
DateOpponentScoreCompetition
Oct 27, 2018Pandurii TG JIU(home)1-0Liga II
Oct 20, 2018CS Mioveni(away)1-2Liga II
Oct 13, 2018CS Balotesti(home)4-1Liga II
Oct 9, 2018Petrolul Ploiesti(away)2-6Liga II
Oct 6, 2018Sportul Snagov(home)1-1Liga II

What does the head-to-head say?

Across the last 2 meetings: 2 Juventus Bucuresti win(s), 0 draw(s), 0 CS Luceafarul Oradea win(s).

DateScoreCompetition
Mar 4, 2017Juventus Bucuresti 2-1 CS Luceafarul OradeaLiga II
Aug 27, 2016CS Luceafarul Oradea 0-1 Juventus BucurestiLiga II

Last archived meeting: Juventus Bucuresti vs CS Luceafarul Oradea on Mar 4, 2017

How many goals should we expect?

Juventus Bucuresti score 1.4 and concede 1.7 goals per match over their last 15; CS Luceafarul Oradea score 1.5 and concede 1.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Juventus Bucuresti1.41.7212/1510/15
CS Luceafarul Oradea1.51.939/159/15

Over the last 15 matches in all competitions.

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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