Match

ACS Poli Timisoara vs ASA Targu Mures: result 0-1 and analysis

Liga IMatchday 10Kick-off on September 25, 2016 at 03:00 PM (UTC)Stadionul Electrica, Timișoara

ACS Poli Timisoara
0-1
ASA Targu Mures

Full time

What was the result of ACS Poli Timisoara vs ASA Targu Mures?

ASA Targu Mures won 0-1 on September 25, 2016.

Goalscorers

  • 31′C. RusASA Targu Mures

Official lineup for ACS Poli Timisoara vs ASA Targu Mures

The starting elevens fielded at kick-off.

ACS Poli Timisoara

  1. 4Fer Llorente
  2. 7C. Bărbuț
  3. 8M. Croitoru
  4. 9A. Popovici
  5. 10C. Doman
  6. 18A. Artean
  7. 22Leopold Novak
  1. 13Cristian Dorel Scutaru
  2. 15C. Bocșan
  3. 32Bogdan Adrian Străuţ
  1. 25C. Straton

ASA Targu Mures

  1. 11B. Kuku
  2. 20R. Surdu
  3. 31C. Rus
  1. 6G. Mureşan
  2. 7E. Dică
  3. 10I. Zicu
  4. 70V. Petra
  1. 8C. Belu-Iordache
  2. 14G. Matei
  3. 24A. Dobrosavlevici
  1. 33João Pedro Mingote Ribeiro
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What is the recent form of both teams?

Over their last 9 matches in all competitions, ACS Poli Timisoara have 1 win, 2 draws and 6 defeats; ASA Targu Mures have 2, 0 and 9.

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

ACS Poli Timisoara
DateOpponentScoreCompetition
Sep 22, 2016GAZ Metan Medias(away)1-1Liga I
Sep 18, 2016FCSB(home)0-1Liga I
Sep 10, 2016FC Voluntari(away)1-4Liga I
Aug 27, 2016CFR 1907 Cluj(home)1-1Liga I
Aug 22, 2016Universitatea Craiova(home)3-2Liga I
ASA Targu Mures
DateOpponentScoreCompetition
Sep 22, 2016FC Astra Giurgiu(home)0-2Liga I
Sep 16, 2016Pandurii TG JIU(away)0-1Liga I
Sep 12, 2016Dinamo Bucuresti(home)2-1Liga I
Aug 29, 2016FC Botosani(away)2-4Liga I
Aug 20, 2016Concordia(home)0-1Liga I

How many goals should we expect?

ACS Poli Timisoara score 1.0 and concede 2.4 goals per match over their last 9; ASA Targu Mures score 0.8 and concede 2.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
ACS Poli Timisoara1.02.407/96/9
ASA Targu Mures0.82.106/118/11

Over the last 9 matches in all competitions.

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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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