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Tomoe-nage

Based on fight data from 2016 onward.

All scores
941
High-impact
79.5%
Fight win
91.7%
Avg ELO
1139
Ippon
233
Waza-ari
515
Yuko
193

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 655 78.3% 91.2%
Women 286 82.2% 92.8%

Weight divisions

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

Division Fights High-impact Fight win
Men -60 kg
163 75.5% 89.4%
Men -66 kg
125 76.8% 93.4%
Men -81 kg
123 79.7% 90.4%
Men -73 kg
121 86.8% 91.4%
Women -48 kg
114 88.6% 94.4%
Men -90 kg
78 78.2% 89.9%
Women -52 kg
64 85.9% 94.8%
Women -57 kg
39 79.5% 91.7%
Women -63 kg
38 71.1% 89.5%
Men -100 kg
36 61.1% 97.2%
Women -78 kg
16 50.0% 91.7%
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
1385 3
TAMAOKI Momo JPN
1382 3
GALBADRAKH Otgontsetseg KAZ
1320 5
DEGUCHI Christa CAN
1319 7
ENKHTAIVAN Ariunbold MGL
1319 5
MONTEIRO Telma POR
1307 6
DE WIT Frank NED
1301 5
ONO Shohei JPN
1284 6
TSUNODA Natsumi JPN
1283 29
GARRIGOS Francisco ESP
1275 8
MARUYAMA Joshiro JPN
1271 8
FIGUEROA Julia ESP
1263 5
UROZBOEV Diyorbek UZB
1256 3
AWITI ALCARAZ Prisca MEX
1249 7
TURAEV Khikmatillokh UZB
1248 3

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%
MARCONCINI Matteo ITA
12 83.3%
KOPECKY Adam CZE
11 90.9%
SENTURK Gulkader TUR
11 100.0%
BEDER Tugce TUR
10 100.0%
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 87
9.9%
RUS 58
6.6%
ITA 47
5.3%
MGL 42
4.8%
KAZ 38
4.3%
FRA 36
4.1%
ESP 28
3.2%
BUL 27
3.1%
KOR 26
3.0%
TUR 26
3.0%
POR 25
2.8%
UKR 25
2.8%

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