Match

Zenit U19 vs Malmö FF U19: result 3-2 and analysis

UEFA Youth LeagueGroup Stage - 2Kick-off on September 29, 2021 at 09:00 AM (UTC)

Zenit U19
3-2
Malmö FF U19

Full time

What was the result of Zenit U19 vs Malmö FF U19?

Zenit U19 won 3-2 on September 29, 2021.

Goalscorers

  • 11′M. BjörkqvistMalmö FF U19
  • 43′R. MikhaylovskiyZenit U19
  • 79′I. RodionovZenit U19
  • 89′I. BjerkeboMalmö FF U19
  • 90′A. ZigangirovZenit U19

Official lineup for Zenit U19 vs Malmö FF U19

The starting elevens fielded at kick-off.

Zenit U19

  1. 38S. Kotov
  1. 35V. Saus
  2. 75R. Khayloev
  3. 76R. Mikhaylovskiy
  4. 85D. Kuznetsov
  1. 34M. Troshchenkov
  2. 48A. Zigangirov
  3. 53A. Sandrachuk
  4. 73A. Marjanov
  5. 94D. Khotulev
  1. 91D. Byazrov

Malmö FF U19

  1. 10H. Bolin
  2. 11S. Burakovsky
  1. 5E. Lindman
  2. 6A. Karlin
  3. 8H. Larsson
  4. 14M. Widell
  5. 22M. Björkqvist
  6. 13P. Strömberg
  1. 2L. Konjuhi
  2. 4L. Nicklasson
  1. 30M. Ellborg
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Zenit U19 have 9 wins, 0 draws and 6 defeats; Malmö FF U19 have 0, 1 and 0.

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

Zenit U19
DateOpponentScoreCompetition
Sep 24, 2021Akhmat Grozny U20(home)4-1Youth Championship
Sep 20, 2021UOR №5 U20(away)6-1Youth Championship
Sep 14, 2021Chelsea U19(away)1-3UEFA Youth League
Sep 8, 2021Chertanovo U20(home)0-1Youth Championship
Aug 27, 2021Sochi U20(home)1-0Youth Championship
Malmö FF U19
DateOpponentScoreCompetition
Sep 14, 2021Juventus U19(home)2-2UEFA Youth League

How many goals should we expect?

Zenit U19 score 2.1 and concede 1.3 goals per match over their last 15; Malmö FF U19 score 2.0 and concede 2.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Zenit U192.11.358/1511/15
Malmö FF U192.02.001/11/1

Over the last 15 matches in all competitions.

A question about Zenit U19 vs Malmö FF U19?

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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