Match

Gulistan vs Metalourg: result 2-1 and analysis

Super LeagueRegular Season - 9Kick-off on May 25, 2013 at 12:30 PM (UTC)Stadion Guliston, Guliston

Gulistan
2-1
Metalourg

Full time

What was the result of Gulistan vs Metalourg?

Gulistan won 2-1 on May 25, 2013.

Goalscorers

  • 35′Alisher ShogulyamovGulistan
  • 37′73792Gulistan
  • 85′103730Metalourg

Official lineup for Gulistan vs Metalourg

The starting elevens fielded at kick-off.

Gulistan

  1. AAlisher Shogulyamov
  1. KK. Chilmatov
  2. AA. Sattaev
  3. MM. Qurbonov
  4. II. Khayrov
  5. II. Rahimov
  6. RR. Khasanov
  7. SS. Djuraev
  8. NN. Otakuziyev
  9. SS. Usmankhadjayev
  1. BB. Akbarov

Metalourg

  1. SSunnatilla Mamadaliyev
  2. AA. Kovalev
  3. SS. Akbarov
  4. KK. Khoshimov
  5. DD. Karimov
  6. UU. Tajimov
  7. DD. Karimkulov
  8. SS. Yuldashev
  9. DD. Adilov
  10. SS. Rasulov
  1. SS. Sultanov
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What is the recent form of both teams?

Over their last 8 matches in all competitions, Gulistan have 3 wins, 2 draws and 3 defeats; Metalourg have 7, 2 and 6.

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

Gulistan
DateOpponentScoreCompetition
May 11, 2013Neftchi(away)1-4Super League
May 4, 2013Shortan(home)2-1Super League
Apr 20, 2013Navbahor(away)0-3Super League
Apr 14, 2013Buxoro(home)1-0Super League
Mar 29, 2013Bunyodkor(away)0-1Super League
Metalourg
DateOpponentScoreCompetition
May 11, 2013Qizilqum(home)3-1Super League
May 4, 2013Nasaf(away)1-3Super League
Apr 20, 2013Sogdiana(home)2-1Super League
Apr 12, 2013Lokomotiv(away)1-2Super League
Mar 29, 2013Pakhtakor(home)2-0Super League

How many goals should we expect?

Gulistan score 0.8 and concede 1.1 goals per match over their last 8; Metalourg score 1.5 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Gulistan0.81.142/83/8
Metalourg1.51.468/159/15

Over the last 8 matches in all competitions.

A question about Gulistan vs Metalourg?

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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