Denmark vs Japan: result 1-3 and analysis
World CupGroup Stage - 3Kick-off on June 24, 2010 at 06:30 PM (UTC)Royal Bafokeng Stadium, Phokeng, NW
Full time
What was the result of Denmark vs Japan?
Japan won 1-3 on June 24, 2010.
Goalscorers
- 17′Keisuke HondaJapan
- 30′Y. EndōJapan
- 81′J. TomassonDenmark
- 87′S. OkazakiJapan
Official lineup for Denmark vs Japan
The starting elevens fielded at kick-off.
Denmark
- 9J. Tomasson
- 11N. Bendtner
- 19D. Rommedahl
- 2Christian Bjørnshøj Poulsen
- 10Lars Martin Jørgensen
- 12T. Kahlenberg
- 4Daniel Munthe Agger
- 6L. Jacobsen
- 13Per Billeskov Krøldrup
- 15S. Poulsen
- 1T. Sørensen
Japan
- 2Y. Abe
- 16Y. Ōkubo
- 7Y. Endō
- 8D. Matsui
- 18Keisuke Honda
- 3Yūichi Komano
- 4Marcus Tulio Tanaka
- 5Y. Nagatomo
- 17M. Hasebe
- 22Y. Nakazawa
- 21E. Kawashima
What is the recent form of both teams?
Over their last 2 matches in all competitions, Denmark have 1 win, 0 draws and 1 defeat; Japan have 1, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 19, 2010 | Cameroon(away) | 2-1 | World Cup |
| Jun 14, 2010 | Netherlands(away) | 0-2 | World Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 19, 2010 | Netherlands(away) | 0-1 | World Cup |
| Jun 14, 2010 | Cameroon(home) | 1-0 | World Cup |
How many goals should we expect?
Denmark score 1.0 and concede 1.5 goals per match over their last 2; Japan score 0.5 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Denmark | 1.0 | 1.5 | 0 | 1/2 | 1/2 |
| Japan | 0.5 | 0.5 | 1 | 0/2 | 0/2 |
Over the last 2 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Japan | 1 | 0 | 1 | 0 | 2 | 2 | 1 |
A question about Denmark vs Japan?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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