Match

Jizzax vs Pakhtakor: result 1-2 and analysis

CupGroup Stage - 1Kick-off on April 12, 2024 at 10:00 AM (UTC)

Jizzax
1-2
Pakhtakor

Full time

What was the result of Jizzax vs Pakhtakor?

Pakhtakor won 1-2 on April 12, 2024.

Goalscorers

  • 2′D. KhamdamovPakhtakor (pen.)
  • 7′K. ShodmonovJizzax
  • 10′Kimi Björn MerkPakhtakor

Official lineup for Jizzax vs Pakhtakor

The starting elevens fielded at kick-off.

Jizzax

  1. KK. Shodmonov
  2. AA. Toshpo'latov
  3. SS. Yoqubov
  4. NN. Sayimnazarov
  5. EE. Sobirjonov
  6. AA. Malikov
  7. BB. Bakhtiyorov
  8. DD. Oripov
  9. JJ. Khayrullaev
  1. NN. Qo'yboqov
  2. JJ. Alamov

Pakhtakor

  1. DD. Khamdamov
  2. UU. Adhamzoda
  3. MM. Usmonov
  1. SS. Sobirkho'jaev
  2. KKimi Björn Merk
  3. NN. Ibragimov
  4. SS. Saidnurullayev
  1. DD. Ortiqboyev
  2. KK. Todorov
  3. MM. Abdumajidov
  1. PP. Pavlyuchenko
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What is the recent form of both teams?

Over their last 5 matches in all competitions, Jizzax have 3 wins, 0 draws and 2 defeats; Pakhtakor have 4, 5 and 6.

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

Jizzax
DateOpponentScoreCompetition
Jun 1, 2023Olmaliq(home)1-3Cup
May 3, 2023G'ijduvon(home)2-1Cup
Apr 2, 2023Andijan II(away)2-3Cup
Mar 26, 2023Nurafshon-Bukhara(away)5-2Cup
Mar 24, 2023Yangiyul(home)2-0Cup
Pakhtakor
DateOpponentScoreCompetition
Mar 30, 2024Sogdiana(home)2-3Super League
Mar 14, 2024Lokomotiv(away)0-3Super League
Mar 8, 2024Nasaf(home)0-0Super League
Mar 4, 2024Surkhon(away)3-0Super League
Feb 19, 2024Rīgas FS(away)0-2Friendlies Clubs

How many goals should we expect?

Jizzax score 2.4 and concede 1.8 goals per match over their last 5; Pakhtakor score 1.3 and concede 1.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Jizzax2.41.814/54/5
Pakhtakor1.31.8310/159/15

Over the last 5 matches in all competitions.

A question about Jizzax vs Pakhtakor?

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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