Match

Rubin vs Navbahor: result 1-2 and analysis

CupGroup Stage - 3Kick-off on April 26, 2021 at 11:20 AM (UTC)Markaziy Stadion, Zaamin

Rubin
1-2
Navbahor

Full time

What was the result of Rubin vs Navbahor?

Navbahor won 1-2 on April 26, 2021.

Goalscorers

  • 45′A. AkhmedovNavbahor (pen.)
  • 70′S. MahmudxojiyevNavbahor
  • 73′E. KarimovRubin

Official lineup for Rubin vs Navbahor

The starting elevens fielded at kick-off.

Rubin

  1. BB. Daminov
  2. OO. Akhmadjonov
  3. KK. Abdulkhamidov
  4. LL. Fayzullayev
  5. MM. Odilov
  6. AA. Tursunqulov
  1. EE. Karimov
  2. DD. Umarov
  3. JJ. Ismoilov
  4. SS. Sadridinov
  1. RR. Abduqodirov

Navbahor

  1. ZZ. Urinboev
  1. MM. Gofurov
  2. II. Solovjev
  3. KK. Ruziyev
  4. II. Isoqjonov
  5. EE. Panjshanbe
  6. SS. Telyakov
  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 3 matches in all competitions, Rubin have 1 win, 1 draw and 1 defeat; Navbahor have 6, 4 and 5.

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

Rubin
DateOpponentScoreCompetition
Apr 22, 2021Olympic(away)0-5Cup
Apr 4, 2021G'ijduvon(away)1-0Cup
Mar 28, 2021Lokomotiv BFK(home)1-1Cup
Navbahor
DateOpponentScoreCompetition
Apr 22, 2021Oq-tepa(home)3-0Cup
Apr 16, 2021Turan(home)0-0Super League
Apr 7, 2021Pakhtakor(home)1-2Super League
Apr 2, 2021Olmaliq(away)1-2Super League
Mar 19, 2021Nasaf(home)0-0Super League

How many goals should we expect?

Rubin score 0.7 and concede 2.0 goals per match over their last 3; Navbahor score 1.1 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Rubin0.72.011/31/3
Navbahor1.10.976/157/15

Over the last 3 matches in all competitions.

A question about Rubin 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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