Match

Daegu FC vs Urawa: result 1-0 and analysis

AFC Champions League EliteGroup Stage - 3Kick-off on April 21, 2022 at 02:00 PM (UTC)Chang Arena, Buriram

Daegu FC
1-0
Urawa

Full time

What was the result of Daegu FC vs Urawa?

Daegu FC won 1-0 on April 21, 2022.

Goalscorers

  • 53′ZecaDaegu FC

Official lineup for Daegu FC vs Urawa

The starting elevens fielded at kick-off.

Daegu FC

3-4-2-1
  1. 19Zeca
  1. 14An Yong-Woo
  2. 32Jeong Chi-In
  1. 18K. Suzuki
  2. 10Bruno Lamas
  3. 26Lee Jin-Yong
  4. 2Hwang Jae-Won
  1. 7Kim Jin-Hyuk
  2. 4Jeong Tae-Wook
  3. 66Jo Jin-Woo
  1. 21Oh Seung-Hoon

Urawa

3-5-2
  1. 33A. Esaka
  2. 7K. Junker
  1. 11Y. Matsuo
  2. 3A. Ito
  3. 19K. Iwao
  4. 8Y. Koizumi
  5. 2H. Sakai
  1. 44A. Ohata
  2. 4T. Iwanami
  3. 28A. Scholz
  1. 12Z. Suzuki
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Daegu FC have 3 wins, 3 draws and 9 defeats; Urawa have 7, 4 and 4.

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

Daegu FC
DateOpponentScoreCompetition
Apr 18, 2022Home United(home)0-3AFC Champions League Elite
Apr 15, 2022Shandong Luneng(away)7-0AFC Champions League Elite
Apr 9, 2022Ulsan Hyundai FC(away)1-3K League 1
Apr 5, 2022Incheon United(home)1-2K League 1
Apr 2, 2022Jeju United FC(away)0-0K League 1
Urawa
DateOpponentScoreCompetition
Apr 18, 2022Shandong Luneng(home)5-0AFC Champions League Elite
Apr 15, 2022Home United(away)4-1AFC Champions League Elite
Apr 10, 2022FC Tokyo(away)0-0J1 League
Apr 6, 2022Shimizu S-pulse(home)1-1J1 League
Apr 2, 2022Consadole Sapporo(away)1-1J1 League

How many goals should we expect?

Daegu FC score 1.4 and concede 1.8 goals per match over their last 15; Urawa score 1.7 and concede 0.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Daegu FC1.41.837/157/15
Urawa1.70.857/156/15

Over the last 15 matches in all competitions.

A question about Daegu FC vs Urawa?

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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