Match

Tajikistan vs Japan: result 0-3 and analysis

World Cup - Qualification AsiaGroup F - 4Kick-off on October 15, 2019 at 12:15 PM (UTC)Republican Central Stadium, Dushanbe

Tajikistan
0-3
Japan

Full time

What was the result of Tajikistan vs Japan?

Japan won 0-3 on October 15, 2019.

Goalscorers

  • 53′T. MinaminoJapan
  • 55′T. MinaminoJapan
  • 82′T. AsanoJapan

Official lineup for Tajikistan vs Japan

The starting elevens fielded at kick-off.

Tajikistan

  1. 12J. Ergashev
  2. 21M. Dzhalilov
  1. 7P. Umarbayev
  2. 10A. Dzhalilov
  3. 17E. Panjshanbe
  4. 20A. Juraboev
  1. 2M. Safarov
  2. 4Khurshed Beknazarov
  3. 6D. Ergashev
  4. 19A. Nazarov
  1. 1R. Yatimov

Japan

  1. 7G. Shibasaki
  2. 9T. Minamino
  3. 10S. Nakajima
  4. 18D. Kamada
  5. 21R. Dōan
  1. 2N. Ueda
  2. 5Y. Nagatomo
  3. 13K. Hashimoto
  4. 19H. Sakai
  5. 22M. Yoshida
  1. 12S. Gonda
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Tajikistan have 6 wins, 2 draws and 7 defeats; Japan have 9, 3 and 3.

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

Tajikistan
DateOpponentScoreCompetition
Sep 10, 2019Mongolia(away)1-0World Cup - Qualification Asia
Sep 5, 2019Kyrgyzstan(home)1-0World Cup - Qualification Asia
Jun 11, 2019China(away)0-1Friendlies
Dec 20, 2018Bahrain(away)0-5Friendlies
Dec 16, 2018Oman(away)0-1Friendlies
Japan
DateOpponentScoreCompetition
Oct 10, 2019Mongolia(home)6-0World Cup - Qualification Asia
Sep 10, 2019Myanmar(away)2-0World Cup - Qualification Asia
Sep 5, 2019Paraguay(home)2-0Friendlies
Jun 24, 2019Ecuador(away)1-1Copa America
Jun 20, 2019Uruguay(away)2-2Copa America

How many goals should we expect?

Tajikistan score 1.3 and concede 1.3 goals per match over their last 15; Japan score 1.6 and concede 0.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Tajikistan1.31.366/158/15
Japan1.60.894/156/15

Over the last 15 matches in all competitions.

A question about Tajikistan vs Japan?

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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