Match

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

Liga IIRegular Season - 19Kick-off on November 28, 2018 at 12:00 PM (UTC)Stadionul Electrica, Timișoara

ACS Poli Timisoara
0-0
Juventus Bucuresti

Full time

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

ACS Poli Timisoara and Juventus Bucuresti drew 0-0 on November 28, 2018.

What is the recent form of both teams?

Over their last 15 matches in all competitions, ACS Poli Timisoara have 0 wins, 2 draws and 13 defeats; Juventus Bucuresti have 4, 6 and 5.

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

ACS Poli Timisoara
DateOpponentScoreCompetition
Nov 23, 2018CS Mioveni(away)1-1Liga II
Nov 17, 2018Petrolul Ploiesti(home)0-1Liga II
Nov 10, 2018Arges Pitesti(away)0-5Liga II
Nov 3, 2018Aerostar Bacau(home)1-2Liga II
Oct 25, 2018Universitatea Cluj(away)0-4Liga II
Juventus Bucuresti
DateOpponentScoreCompetition
Nov 24, 2018Ripensia Timisoara(home)1-1Liga II
Nov 17, 2018Dacia Unirea Braila(away)1-2Liga II
Nov 10, 2018Farul Constanta(home)3-0Liga II
Nov 3, 2018CS Luceafarul Oradea(home)3-1Liga II
Oct 26, 2018CS Mioveni(away)1-2Liga II

What does the head-to-head say?

Across the last 4 meetings: 2 ACS Poli Timisoara win(s), 1 draw(s), 1 Juventus Bucuresti win(s).

DateScoreCompetition
May 11, 2018ACS Poli Timisoara 2-0 Juventus BucurestiLiga I
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: ACS Poli Timisoara vs Juventus Bucuresti on May 11, 2018

How many goals should we expect?

ACS Poli Timisoara score 0.5 and concede 2.2 goals per match over their last 15; Juventus Bucuresti score 1.7 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
ACS Poli Timisoara0.52.207/159/15
Juventus Bucuresti1.71.4213/1511/15

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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