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Tomoe-nage

Based on fight data from 2016 onward.

All scores
1007
High-impact
75.7%
Fight win
91.0%
Avg ELO
1162
Ippon
237
Waza-ari
525
Yuko
245

Common setup techniques

Earlier tagged techniques by the same athlete in fights where this technique scored.

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Men vs women

Where this technique is credited — high-impact % and win % by sex.

Sex Fights High-impact Fight win
Men 691 75.4% 91.0%
Women 316 76.3% 90.8%

Weight divisions

Which divisions use this technique most; compare effectiveness by weight.

Division Fights High-impact Fight win
Men -60 kg
174 71.8% 88.9%
Men -66 kg
135 73.3% 93.0%
Men -73 kg
130 81.5% 91.1%
Men -81 kg
126 78.6% 90.6%
Women -48 kg
125 81.6% 93.2%
Men -90 kg
78 78.2% 89.9%
Women -52 kg
71 81.7% 92.3%
Women -57 kg
41 78.0% 86.8%
Women -63 kg
40 70.0% 90.0%
Men -100 kg
36 61.1% 97.2%
Women -78 kg
17 47.1% 92.3%
Women -70 kg
14 85.7% 84.6%

Average pre-fight ELO when credited with this technique (min 3 fights).

Judoka Avg ELO Fights
HARADA Mizuki JPN
1535 3
PARCHIEV Abdullakh RUS
1458 3
KHALIDOV Said-Magomed UKR
1450 3
TAMAOKI Momo JPN
1393 3
GIUFFRIDA Odette ITA
1356 4
VALADIER PICARD Romain FRA
1353 4
ENKHTAIVAN Ariunbold MGL
1329 5
GALBADRAKH Otgontsetseg KAZ
1320 5
DEGUCHI Christa CAN
1319 7
MONTEIRO Telma POR
1307 6
UCHIMURA Shusuke JPN
1302 3
DE WIT Frank NED
1301 5
MURILLO MARTINEZ DE LIZARRONDO Asier ESP
1285 4
IVANOV Ivaylo BUL
1285 3
ONO Shohei JPN
1284 6

Judoka with the most credited fights using this technique.

Judoka Fights Fight win
TSUNODA Natsumi JPN
29 100.0%
LESIUK Artem UKR
16 100.0%
MUNGAI Nicholas ITA
16 100.0%
GERCHEV Yanislav BUL
16 100.0%
BEDER Tugce TUR
15 93.3%
MARCONCINI Matteo ITA
12 83.3%
KOPECKY Adam CZE
11 90.9%
SENTURK Gulkader TUR
11 100.0%
SHAMILOV Yakub RUS
9 100.0%
PIENKOWSKA Karolina POL
9 100.0%
GARRIGOS Francisco ESP
8 100.0%
MARUYAMA Joshiro JPN
8 100.0%
BAVUUDORJ Baasankhuu MGL
8 100.0%
SHIKHALIZADA Nijat AZE
8 87.5%
VALKOVA Ekaterina RUS
8 75.0%

Countries

Where credited scorers are from (one count per fight).

Country Fights Share
JPN 88
9.3%
RUS 63
6.7%
ITA 50
5.3%
MGL 44
4.7%
KAZ 39
4.1%
FRA 37
3.9%
ESP 33
3.5%
TUR 31
3.3%
KOR 30
3.2%
BUL 27
2.9%
UKR 27
2.9%
UZB 27
2.9%

Statistics count IJF-tagged scoring only. Archive grows as more competitions are scraped from 2016 onward.