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Amita Sumo Database Amita Sumo Database Rikishi Data

Ring NameStableBirthplaceHighest RankBirthdayWeightHeight
田村たむら二所ノ関鳥取県倉吉市三段目 87昭和20年1月24日

Real NameFormer ShikonaSignature ManeuverFirst RingRetired
田村 宗文田村---昭和36年5月昭和38年5月

 

 

※Win Rate is calculated as:[Wins excluding wins by default (fusen)] ÷ [Wins excluding wins by default + Losses excluding losses by default] × 100.
※For the Win Rate Trend (cumulative), the value shown in the row for a given basho (tournament) is computed over that basho and all prior basho,i.e., it includes the results from that basho.

BasyoBanzukeWin–Loss Table  ○…Win ●…Loss □…Default Win ■…Default Loss -…Absent / No Bout
Results123456789101112131415
1963-05 Basyo
(Showa38 May)
WestJyonidan22












































0Win 0Lose
1963-03 Basyo
(Showa38 March)
WestSandanme87












































0Win 0Lose
1963-01 Basyo
(Showa38 January)
WestJyonidan28












































0Win 0Lose
1962-11 Basyo
(Showa37 Nobember)
WestJyonidan43












































0Win 0Lose
1962-09 Basyo
(Showa37 September)
WestJyonidan81












































0Win 0Lose
1962-07 Basyo
(Showa37 July)
WestJyonidan77












































0Win 0Lose
1962-05 Basyo
(Showa37 May)
EastJyonidan66












































0Win 0Lose
1962-03 Basyo
(Showa37 March)
EastJyonidan89












































0Win 0Lose
1962-01 Basyo
(Showa37 January)
WestJyonidan71












































0Win 0Lose
1961-11 Basyo
(Showa36 Nobember)
EastJyonidan40












































0Win 0Lose
1961-09 Basyo
(Showa36 September)
EastJyonokuchi14












































0Win 0Lose
1961-07 Basyo
(Showa36 July)
WestJyonokuchi32












































0Win 0Lose
1961-05 Basyo
(Showa36 May)
Maezumo0












































0Win 0Lose

The portraits displayed on this site were created using generative AI.
They are published for the purpose of providing commentary and explanations on individual rikishi and bouts.
While multiple photographs were consulted, the portraits are original illustrations and are not reproductions of, nor directly derived from, any single photograph.