Skip to content
Surf Wiki
Save to docs
sports

From Surf Wiki (app.surf) — the open knowledge base

40th Japan National University Championship


The 40th Japan National University Rugby Championship (2003/2004). Eventually won by Kanto Gakuin University beating Waseda 33 - 7.

Qualifying teams

Kanto League A (Taiko)

  • Waseda, Meiji University, Teikyo University, Keio University, Nihon University

Kanto League B

  • Kanto Gakuin University, Hosei University, Tokai University, Ryutsu Keizai University, Tsukuba

Kansai League

  • Kyoto Sangyo University, Doshisha University, Osaka University of Health and Sport Sciences, Kinki University, Kwansei Gakuin

Kyushu League

  • Fukuoka

Knockout rounds

First-round tournament

DateVenueHomeScoreAwayAttendance
13th DecFukuokaRyutsu Keizai University36 – 90
Meiji University3000
13th DecFukuokaFukuoka University0 – 126
Hosei3000
14th DecNagoyaKyoto Sangyo University27 – 30
Tsukuba2500
14th DecOsakaOsaka University of Health and Sport Sciences27 – 30
Tokai7000
14th DecTokyoKeio24 – 57
Kanto Gakuin University12000
14th DecTokyoWaseda85 – 15
Kwansei Gakuin12000
14th DecOsakaDoshisha57 – 29
Nihon University9000
14th DecNagoyaKinki University7 – 64
Teikyo University2000

Winners of the first round go through to the group stage. Qualifying for the group round:

  • Waseda, Meiji University, Teikyo University
  • Kanto Gakuin University, Hosei University, Tokai University
  • Kyoto Sangyo University, Doshisha University

Group round

Group round stage. Consisting of three rounds of matches with the top 4 qualifying for the semi-finals.

Round 1

DateVenueHomeScoreAwayAttendance
21st DecTokyoMeiji University25 – 45
Kanto Gakuin University10000
21st DecOsakaTokai University5 – 74
Hosei4700
21st DecTokyoWaseda67 – 12
Kyoto Sangyo University12000
21st DecOsakaDoshisha University22 – 5
Teikyo University8800

Round 2

DateVenueHomeScoreAwayAttendance
27th DecFukuokaTeikyo University12 – 85
Kanto Gakuin University1200
28th DecNagoyaKyoto Sangyo University24 – 92
Hosei6000
28th DecTokyoWaseda38 – 14
Tokai University5000
28th DecNagoyaDoshisha University64 – 40
Meiji University7000

Round 3

DateVenueHomeScoreAwayAttendance
2nd JanTokyoTeikyo University50 – 26
Meiji University18000
2nd JanOsakaKyoto Sangyo University19 – 64
Tokai University12000
2nd JanTokyoWaseda19 – 12
Hosei University24000
2nd JanOsakaDoshisha University22 – 66
Kanto Gakuin University17000

Final Table from the pool stages:

TeamPWDLPoints forPoints againstPoints diff
Kanto Gakuin University330019659137
Waseda33001243886
Hosei University321017848130
Doshisha University32101081113
Tokai University312083131−48
Teikyo University312067133−66
Meiji University303091159−68
Kyoto Sangyo University303055223−168

Kanto Gakuin University, Waseda, Hosei University and Doshisha University compete in the semi-finals.

Semi-final

DateVenueHomeScoreAwayAttendance
10th JanTokyoWaseda University38 – 33
Doshisha University30000
10th JanTokyoHosei University21 – 48
Kanto Gakuin University33000

Final

Universities competing

  • Waseda
  • Meiji University
  • Keio University
  • Teikyo University
  • Kinki University
  • Nihon University
  • Kanto Gakuin University
  • Hosei University
  • Tsukuba University
  • Daito Bunka University
  • Ryutsu Keizai University
  • Osaka University of Health and Sport Sciences
  • Kyoto Sangyo University
  • Doshisha University
  • Ritsumeikan
  • Kinki University
  • Fukuoka

References

Wikipedia Source

This article was imported from Wikipedia and is available under the Creative Commons Attribution-ShareAlike 4.0 License. Content has been adapted to SurfDoc format. Original contributors can be found on the article history page.

Want to explore this topic further?

Ask Mako anything about 40th Japan National University Championship — get instant answers, deeper analysis, and related topics.

Research with Mako

Free with your Surf account

Content sourced from Wikipedia, available under CC BY-SA 4.0.

This content may have been generated or modified by AI. CloudSurf Software LLC is not responsible for the accuracy, completeness, or reliability of AI-generated content. Always verify important information from primary sources.

Report