Match

Jayxun vs Syrdarya Academy: result 2-0 and analysis

CupGroup Stage - 1Kick-off on April 9, 2025 at 11:30 AM (UTC)

Jayxun
2-0
Syrdarya Academy

Full time

What was the result of Jayxun vs Syrdarya Academy?

Jayxun won 2-0 on April 9, 2025.

Goalscorers

  • 45′U. KarilovJayxun
  • 69′S. DaryabaevJayxun

Official lineup for Jayxun vs Syrdarya Academy

The starting elevens fielded at kick-off.

Jayxun

  1. MM. Kalibayev
  2. AA. Kutibaev
  3. BB. Kuanishbayev
  1. SS. Jumaboyev
  2. UU. Karilov
  3. MM. Qalmurzayev
  1. AAybek Sdikov
  2. AA. Norqobilov
  3. RR. Anvarov
  4. OO. Muratov
  1. UUlug'bek Bekbosinov

Syrdarya Academy

  1. DD. Samidjonov
  2. HH. Norbo‘tayev
  3. II. Karimov
  4. KK. Soimnazarov
  5. SS. Abdujalilov
  6. XX. Tojiboyev
  7. SS. Yunusov
  8. ZZ. Xoldorov
  9. AA. Abdurahmonov
  1. AA. Mustafaqulov
  1. AAzamat Akhmedov
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What is the recent form of both teams?

Over their last 6 matches in all competitions, Jayxun have 1 win, 1 draw and 4 defeats; Syrdarya Academy have 1, 1 and 3.

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

Jayxun
DateOpponentScoreCompetition
Apr 3, 2025Aral(away)0-4Pro League A
Apr 28, 2024Bunyodkor(away)0-7Cup
Apr 21, 2024Shortan(away)1-2Cup
Apr 14, 2024Qiziriq(home)2-2Cup
Mar 26, 2023Olimpiya Toshkent(home)1-2Cup
Syrdarya Academy
DateOpponentScoreCompetition
Apr 2, 2025Lokomotiv BFK(away)0-0Cup
Apr 26, 2024Dostlik(away)1-5Cup
Apr 19, 2024Neftchi(home)1-5Cup
Apr 12, 2024Metalourg(away)0-5Cup
Apr 1, 2024Tashkent Academy(home)3-2Cup

How many goals should we expect?

Jayxun score 0.8 and concede 2.8 goals per match over their last 6; Syrdarya Academy score 1.0 and concede 3.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Jayxun0.82.813/65/6
Syrdarya Academy1.03.413/54/5

Over the last 6 matches in all competitions.

A question about Jayxun vs Syrdarya Academy?

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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