Match

ACS Poli Timisoara vs Juventus Bucuresti: result 2-0 and analysis

Liga IRelegation Round - 9Kick-off on May 11, 2018 at 02:00 PM (UTC)Stadionul Electrica, Timișoara

ACS Poli Timisoara
2-0
Juventus Bucuresti

Full time

What was the result of ACS Poli Timisoara vs Juventus Bucuresti?

ACS Poli Timisoara won 2-0 on May 11, 2018.

Goalscorers

  • 6′WalaceACS Poli Timisoara (o.g.)
  • 49′G. VașvariACS Poli Timisoara (pen.)

What is the recent form of both teams?

Over their last 15 matches in all competitions, ACS Poli Timisoara have 1 wins, 5 draws and 9 defeats; Juventus Bucuresti have 3, 3 and 9.

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

ACS Poli Timisoara
DateOpponentScoreCompetition
May 4, 2018FC Voluntari(home)2-3Liga I
Apr 28, 2018Concordia(home)1-0Liga I
Apr 20, 2018Dinamo Bucuresti(away)0-1Liga I
Apr 16, 2018FC Botosani(home)0-1Liga I
Apr 9, 2018GAZ Metan Medias(away)1-1Liga I
Juventus Bucuresti
DateOpponentScoreCompetition
May 5, 2018FC Botosani(home)0-3Liga I
Apr 27, 2018FC Voluntari(away)1-0Liga I
Apr 22, 2018GAZ Metan Medias(home)0-3Liga I
Apr 15, 2018Concordia(away)1-2Liga I
Apr 9, 2018Sepsi OSK Sfantu Gheorghe(home)0-2Liga I

What does the head-to-head say?

Across the last 3 meetings: 1 ACS Poli Timisoara win(s), 1 draw(s), 1 Juventus Bucuresti win(s).

DateScoreCompetition
Mar 16, 2018Juventus Bucuresti 1-0 ACS Poli TimisoaraLiga I
Nov 6, 2017Juventus Bucuresti 1-1 ACS Poli TimisoaraLiga I
Aug 4, 2017ACS Poli Timisoara 2-1 Juventus BucurestiLiga I

Last archived meeting: Juventus Bucuresti vs ACS Poli Timisoara on Mar 16, 2018

How many goals should we expect?

ACS Poli Timisoara score 0.7 and concede 1.3 goals per match over their last 15; Juventus Bucuresti score 0.4 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
ACS Poli Timisoara0.71.327/154/15
Juventus Bucuresti0.41.553/156/15

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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