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Tomoe-nage

Based on fight data from 2016 onward.

All scores
1030
High-impact
74.8%
Fight win
91.1%
Avg ELO
1138
Ippon
242
Waza-ari
528
Yuko
260

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 705 74.5% 91.1%
Women 325 75.4% 91.1%

Weight divisions

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

Division Fights High-impact Fight win
Men -60 kg
178 70.8% 89.2%
Men -73 kg
138 79.0% 91.5%
Men -66 kg
137 72.3% 92.4%
Women -48 kg
127 80.3% 93.3%
Men -81 kg
126 78.6% 90.6%
Men -90 kg
78 78.2% 89.9%
Women -52 kg
72 80.6% 92.4%
Women -57 kg
42 78.6% 87.2%
Women -63 kg
42 71.4% 90.5%
Men -100 kg
36 61.1% 97.2%
Women -78 kg
19 47.4% 93.3%
Women -70 kg
15 80.0% 85.7%

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

Judoka Avg ELO Fights
HARADA Mizuki JPN
1384 3
TAMAOKI Momo JPN
1383 3
CVJETKO Lara CRO
1350 3
GALBADRAKH Otgontsetseg KAZ
1320 5
ENKHTAIVAN Ariunbold MGL
1319 5
DEGUCHI Christa CAN
1318 7
MONTEIRO Telma POR
1307 6
DE WIT Frank NED
1301 5
TSUNODA Natsumi JPN
1295 29
ONO Shohei JPN
1284 6
GARRIGOS Francisco ESP
1274 8
MARUYAMA Joshiro JPN
1270 8
FIGUEROA Julia ESP
1267 5
UROZBOEV Diyorbek UZB
1255 3
AWITI ALCARAZ Prisca MEX
1249 7

Judoka with the most credited fights using this technique.

Judoka Fights Fight win
TSUNODA Natsumi JPN
29 100.0%
LESIUK Artem UKR
17 100.0%
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%
BAVUUDORJ Baasankhuu MGL
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%
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 93
9.6%
RUS 63
6.5%
ITA 51
5.3%
MGL 47
4.9%
KAZ 39
4.0%
FRA 37
3.8%
ESP 33
3.4%
TUR 31
3.2%
KOR 30
3.1%
UKR 28
2.9%
BUL 27
2.8%
UZB 27
2.8%

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