Match

Oq-tepa vs Navbahor: result 0-2 and analysis

Cup8th FinalsKick-off on December 7, 2020 at 09:00 AM (UTC)Stadion Oq-tepa, Tashkent

Oq-tepa
0-2
Navbahor

Full time

What was the result of Oq-tepa vs Navbahor?

Navbahor won 0-2 on December 7, 2020.

Goalscorers

  • 33′A. AkhmedovNavbahor
  • 59′A. Turg'unboyevNavbahor

Official lineup for Oq-tepa vs Navbahor

The starting elevens fielded at kick-off.

Oq-tepa

  1. SSunnatilla Mamadaliyev
  2. SS. Jahonov
  3. JJ. Ismoilov
  4. DD. Bahromov
  5. FF. Sodiqov
  6. II. Ismoilov
  7. TT. Nigmatulin
  1. SS. Ochilov
  2. JJ. Bakhtiyorov
  3. OO. Samuel
  1. RR. Yagudin

Navbahor

  1. AA. Turg'unboyev
  2. RR. Bolov
  3. ZZ. Urinboev
  1. JJovlon Ibrokhimov
  2. MM. Gofurov
  3. II. Solovjev
  4. EE. Panjshanbe
  1. II. Golban
  2. DD. Khashimov
  3. AA. Akhmedov
  1. UU. Yusupov
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What is the recent form of both teams?

Over their last 2 matches in all competitions, Oq-tepa have 2 wins, 0 draws and 0 defeats; Navbahor have 3, 8 and 4.

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

Oq-tepa
DateOpponentScoreCompetition
Jun 28, 2020Dinamo Samarqand(away)4-3Cup
Jun 23, 2020Zaamin(home)2-0Cup
Navbahor
DateOpponentScoreCompetition
Dec 3, 2020Kokand-1912(away)1-1Super League
Nov 29, 2020Olmaliq(home)0-0Super League
Nov 24, 2020Mash'al(away)0-3Super League
Nov 20, 2020Surkhon(home)1-0Super League
Nov 2, 2020Qizilqum(away)2-0Super League

How many goals should we expect?

Oq-tepa score 3.0 and concede 1.5 goals per match over their last 2; Navbahor score 0.6 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Oq-tepa3.01.511/21/2
Navbahor0.60.765/152/15

Over the last 2 matches in all competitions.

A question about Oq-tepa vs Navbahor?

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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