Match

Backa vs Metalac GM: result 1-0 and analysis

Super LigaRegular Season - 9Kick-off on September 17, 2016 at 02:00 PM (UTC)Stadion Slavko Maletin Vava, Bačka Palanka

Backa
1-0
Metalac GM

Full time

What was the result of Backa vs Metalac GM?

Backa won 1-0 on September 17, 2016.

Goalscorers

  • 52′Nikola MojsilovićBacka

Official lineup for Backa vs Metalac GM

The starting elevens fielded at kick-off.

Backa

  1. 9Damir Čeković
  2. 17Nikola Mojsilović
  3. 28L. Luković
  1. 8M. Bjeloš
  2. 10Veseljko Trivunović
  3. 27Z. Milovac
  1. 3Miloš Josimov
  2. 4N. Ilić
  3. 13G. Smiljanić
  4. 14Igor Đurić
  1. 1M. Stepandić

Metalac GM

  1. 10Ivica Jovanović
  2. 99W. Caicedo
  1. 3S. Panić
  2. 18M. Mijić
  3. 24Milan Stojanović
  1. 5D. Uzelac
  2. 14T. Bondarenko
  3. 15Vladimir Otašević
  4. 17Srđan Simović
  5. 25S. Nikodijević
  1. 33N. Belić
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What is the recent form of both teams?

Over their last 8 matches in all competitions, Backa have 1 win, 1 draw and 6 defeats; Metalac GM have 4, 2 and 2.

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

Backa
DateOpponentScoreCompetition
Sep 10, 2016FK Crvena Zvezda(away)0-2Super Liga
Aug 27, 2016Borac Cacak(home)1-0Super Liga
Aug 20, 2016RAD(away)1-2Super Liga
Aug 13, 2016FK Spartak Zdrepceva KRV(home)1-3Super Liga
Aug 10, 2016Cukaricki(away)0-1Super Liga
Metalac GM
DateOpponentScoreCompetition
Sep 10, 2016Novi Pazar(home)0-0Super Liga
Aug 26, 2016Radnik Surdulica(away)1-0Super Liga
Aug 21, 2016Radnicki NIS(home)1-2Super Liga
Aug 14, 2016FK Vozdovac(away)0-0Super Liga
Aug 10, 2016Mladost Lucani(home)2-0Super Liga

How many goals should we expect?

Backa score 0.4 and concede 1.3 goals per match over their last 8; Metalac GM score 1.0 and concede 0.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Backa0.41.322/82/8
Metalac GM1.00.662/82/8

Over the last 8 matches in all competitions.

A question about Backa vs Metalac GM?

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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