Match

CS Mioveni vs Arges Pitesti: result 0-0 and analysis

Liga IIRegular Season - 13Kick-off on October 21, 2017 at 01:00 PM (UTC)Stadionul Orăşenesc, Mioveni

CS Mioveni
0-0
Arges Pitesti

Full time

What was the result of CS Mioveni vs Arges Pitesti?

CS Mioveni and Arges Pitesti drew 0-0 on October 21, 2017.

Official lineup for CS Mioveni vs Arges Pitesti

The starting elevens fielded at kick-off.

CS Mioveni

  1. RRoberto Berça Ayza
  2. DD. Ene
  1. IIonuţ Andrei Mîrzeanu
  2. EE. Florescu
  3. II. Rădescu
  4. AAlexandru Cioc
  1. EE. Stoica
  2. II. Burnea
  3. CC. Gugu
  4. AA. Tirică
  1. FF. Croitoru

Arges Pitesti

  1. AA. Nilă
  2. II. Năstăsie
  3. RR. Grecu
  1. RRaul Răzvan Costin
  2. AA. Panait
  3. II. Șerban
  4. GG. Cotigă
  1. CC. Stan
  2. DD. Şerbănică
  3. AA. Tofan
  1. NN. Grecu
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What is the recent form of both teams?

Over their last 15 matches in all competitions, CS Mioveni have 6 wins, 4 draws and 5 defeats; Arges Pitesti have 4, 5 and 3.

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

CS Mioveni
DateOpponentScoreCompetition
Oct 14, 2017Dacia Unirea Braila(away)2-2Liga II
Oct 9, 2017ASA Targu Mures(home)2-1Liga II
Sep 30, 2017Ripensia Timisoara(away)1-0Liga II
Sep 23, 2017CS Luceafarul Oradea(home)3-2Liga II
Sep 16, 2017ACS Foresta Suceava(away)0-2Liga II
Arges Pitesti
DateOpponentScoreCompetition
Oct 14, 2017FC Clinceni(home)1-1Liga II
Oct 7, 2017Metaloglobus(away)1-1Liga II
Sep 30, 2017Chindia Targoviste(home)0-0Liga II
Sep 23, 2017Sportul Snagov(home)1-0Liga II
Sep 16, 2017Dacia Unirea Braila(away)1-3Liga II

How many goals should we expect?

CS Mioveni score 1.7 and concede 1.4 goals per match over their last 15; Arges Pitesti score 1.3 and concede 0.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
CS Mioveni1.71.439/159/15
Arges Pitesti1.30.866/125/12

Over the last 15 matches in all competitions.

A question about CS Mioveni vs Arges Pitesti?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

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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