Match

Juventus Bucuresti vs ACS Foresta Suceava: result 5-1 and analysis

Liga IIRegular Season - 36Kick-off on May 23, 2017 at 08:00 AM (UTC)Stadionul Juventus, Bucureşti

Juventus Bucuresti
5-1
ACS Foresta Suceava

Full time

What was the result of Juventus Bucuresti vs ACS Foresta Suceava?

Juventus Bucuresti won 5-1 on May 23, 2017.

Goalscorers

  • 20′S. BusteaJuventus Bucuresti
  • 37′G. CălințaruJuventus Bucuresti
  • 70′C. VraciuACS Foresta Suceava
  • 73′Alin Sorin IlinJuventus Bucuresti
  • 82′Alin Sorin IlinJuventus Bucuresti
  • 86′B. ChipirliuJuventus Bucuresti

What is the recent form of both teams?

Over their last 15 matches in all competitions, Juventus Bucuresti have 12 wins, 0 draws and 3 defeats; ACS Foresta Suceava have 5, 4 and 6.

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

Juventus Bucuresti
DateOpponentScoreCompetition
May 20, 2017CSM Ramnicu Valcea(away)3-0Liga II
May 12, 2017Chindia Targoviste(home)2-1Liga II
Apr 30, 2017CS Balotesti(home)3-1Liga II
Apr 26, 2017FC Politehnica Timisoara(away)1-2Liga II
Apr 22, 2017Uta Arad(home)1-2Liga II
ACS Foresta Suceava
DateOpponentScoreCompetition
May 20, 2017Sepsi OSK Sfantu Gheorghe(home)2-4Liga II
May 13, 2017CS Afumati(away)0-6Liga II
May 6, 2017CS Luceafarul Oradea(home)2-0Liga II
Apr 26, 2017FC Brasov(home)0-0Liga II
Apr 22, 2017CS Mioveni(away)2-2Liga II

What does the head-to-head say?

Across the last 1 meetings: 1 Juventus Bucuresti win(s), 0 draw(s), 0 ACS Foresta Suceava win(s).

DateScoreCompetition
Nov 20, 2016ACS Foresta Suceava 1-2 Juventus BucurestiLiga II

Last archived meeting: ACS Foresta Suceava vs Juventus Bucuresti on Nov 20, 2016

How many goals should we expect?

Juventus Bucuresti score 2.4 and concede 0.9 goals per match over their last 15; ACS Foresta Suceava score 1.5 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Juventus Bucuresti2.40.9410/1513/15
ACS Foresta Suceava1.51.748/159/15

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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