Match

Csikszereda vs Arges Pitesti: result 0-0 and analysis

Liga IIRegular Season - 19Kick-off on November 23, 2019 at 09:00 AM (UTC)Stadionul Municipal, Miercurea Ciuc

Csikszereda
0-0
Arges Pitesti

Full time

What was the result of Csikszereda vs Arges Pitesti?

Csikszereda and Arges Pitesti drew 0-0 on November 23, 2019.

Official lineup for Csikszereda vs Arges Pitesti

The starting elevens fielded at kick-off.

Csikszereda

  1. SS. Magyari
  2. RRomaric Logon
  1. CC. Erdei
  2. SS. Vereș
  3. EEder González
  4. LL. Bara
  1. AA. Majzik
  2. BB. Csonka
  3. RR. Palmeş
  4. AA. Csürös
  1. SS. Gyenge

Arges Pitesti

  1. RR. Matiș
  2. VVasile Buhăescu
  3. AA. Blejdea
  1. AA. Prepeliță
  2. NN. Popescu
  1. NNicolae Mușat
  2. KKévin Sola Moihedja
  3. AA. Tofan
  4. GG. Turda
  5. DD. Şerbănică
  1. RR. Ducan
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Csikszereda have 5 wins, 4 draws and 6 defeats; Arges Pitesti have 5, 5 and 5.

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

Csikszereda
DateOpponentScoreCompetition
Nov 16, 2019ACS Sirineasa(away)1-1Liga II
Nov 13, 2019CSM Reşiţa(home)1-0Liga II
Nov 9, 2019FC Politehnica Timisoara(away)0-1Liga II
Nov 5, 2019Petrolul Ploiesti(away)0-1Liga II
Nov 1, 2019Turris-Oltul T. Măgurele(home)1-0Liga II
Arges Pitesti
DateOpponentScoreCompetition
Nov 17, 2019Petrolul Ploiesti(home)1-1Liga II
Nov 13, 2019Dunarea Calarasi(away)2-1Liga II
Nov 9, 2019Uta Arad(home)0-0Liga II
Nov 6, 2019CSM Reşiţa(home)3-2Liga II
Nov 2, 2019Metaloglobus(away)0-0Liga II

How many goals should we expect?

Csikszereda score 0.7 and concede 1.0 goals per match over their last 15; Arges Pitesti score 1.3 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Csikszereda0.71.054/153/15
Arges Pitesti1.31.5210/159/15

Over the last 15 matches in all competitions.

A question about Csikszereda vs Arges Pitesti?

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Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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