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O-uchi-gari

Based on fight data from 2016 onward.

All scores
3229
High-impact
78.9%
Fight win
91.6%
Avg ELO
1142
Ippon
986
Waza-ari
1563
Yuko
680

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 1867 80.8% 91.0%
Women 1362 76.4% 92.3%

Weight divisions

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

Division Fights High-impact Fight win
Men -73 kg
406 76.4% 90.6%
Men -66 kg
316 80.7% 90.2%
Men -81 kg
295 86.4% 91.4%
Men -60 kg
289 74.4% 89.8%
Women -57 kg
244 79.5% 93.0%
Men -90 kg
241 82.2% 91.4%
Women -48 kg
218 75.7% 90.5%
Women -52 kg
216 79.6% 90.7%
Women -63 kg
216 72.2% 91.0%
Women -70 kg
208 68.8% 93.0%
Men -100 kg
173 86.1% 93.9%
Women -78 kg
141 76.6% 94.1%

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

Judoka Avg ELO Fights
YANG Yung Wei TPE
1440 4
POLLING Kim NED
1402 4
ISHIHARA Tatsuki JPN
1370 4
HONG Suk Woong KOR
1351 3
BILALOV Niiaz RUS
1349 6
AN Changrim KOR
1347 3
GABA Joan-Benjamin FRA
1338 5
WOLF Aaron JPN
1337 9
ALVEAR OREJUELA Yuri COL
1329 3
GARRIGOS Francisco ESP
1328 3
YONDONPERENLEI Baskhuu MGL
1326 7
AUGUSTO Michel BRA
1324 4
HARASAWA Hisayoshi JPN
1320 5
FUJIWARA Sotaro JPN
1316 3
TASOEV Inal RUS
1313 7

Judoka with the most credited fights using this technique.

Judoka Fights Fight win
SHAVDATUASHVILI Lasha GEO
29 96.6%
BASILE Fabio ITA
19 89.5%
ESPOSITO Giovanni ITA
17 88.2%
ESTRADA Magdiel CUB
17 94.1%
KOGA Wakana JPN
17 100.0%
SMINK Jesper NED
17 94.1%
VIERU Denis MDA
16 93.8%
KIM Jisu KOR
16 93.8%
KIM Hayun KOR
15 100.0%
NHABALI Quedjau UKR
15 86.7%
ABE Hifumi JPN
14 100.0%
PARLATI Christian ITA
14 85.7%
GARCIA TORNE David ESP
14 92.9%
SARDALASHVILI Giorgi GEO
14 100.0%
SHAMILOV Yakub RUS
13 84.6%

Countries

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

Country Fights Share
JPN 237
7.7%
FRA 234
7.6%
RUS 213
6.9%
ITA 163
5.3%
GER 137
4.4%
GEO 132
4.3%
BRA 121
3.9%
NED 105
3.4%
KOR 100
3.2%
UKR 95
3.1%
AZE 82
2.7%
ISR 80
2.6%

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