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O-uchi-gari

Based on fight data from 2016 onward.

All scores
3351
High-impact
77.3%
Fight win
91.3%
Avg ELO
1174
Ippon
1011
Waza-ari
1580
Yuko
760

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 1931 79.5% 90.7%
Women 1420 74.3% 92.2%

Weight divisions

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

Division Fights High-impact Fight win
Men -73 kg
421 75.1% 90.3%
Men -66 kg
328 79.6% 90.2%
Men -81 kg
302 85.1% 90.9%
Men -60 kg
298 73.2% 89.4%
Women -57 kg
265 75.8% 92.7%
Men -90 kg
247 81.0% 91.6%
Women -48 kg
226 73.0% 89.9%
Women -63 kg
223 70.4% 91.2%
Women -52 kg
218 79.4% 90.3%
Women -70 kg
214 67.3% 93.2%
Men -100 kg
176 85.2% 93.5%
Women -78 kg
144 75.7% 94.2%

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

Judoka Avg ELO Fights
CYSIQUE Sarah Leonie FRA
1815 3
TAKEOKA Takeshi JPN
1597 3
GABA Joan-Benjamin FRA
1557 5
LIU Lu CHN
1494 3
ISHIHARA Tatsuki JPN
1487 4
BLIEV Ayub RUS
1482 7
YANG Yung Wei TPE
1479 4
ASHPIZ Izhak ISR
1470 7
OINO Yuhei JPN
1464 4
NAGUCHEV Kazbek UAE
1458 3
ASADULLOEV Muhiddin TJK
1456 4
NAGAYAMA Ryuju JPN
1451 6
FOHOUO April Lynn SUI
1450 4
LIMA Ronald BRA
1430 5
ENDOVITSKII Valerii RUS
1428 3

Judoka with the most credited fights using this technique.

Judoka Fights Fight win
SHAVDATUASHVILI Lasha GEO
29 96.6%
ESPOSITO Giovanni ITA
20 90.0%
BASILE Fabio ITA
19 89.5%
KOGA Wakana JPN
17 100.0%
ESTRADA Magdiel CUB
17 94.1%
SMINK Jesper NED
17 94.1%
VIERU Denis MDA
16 93.8%
KIM Jisu KOR
16 93.8%
GARCIA TORNE David ESP
15 93.3%
KIM Hayun KOR
15 100.0%
NHABALI Quedjau UKR
15 86.7%
ABE Hifumi JPN
14 100.0%
SARDALASHVILI Giorgi GEO
14 100.0%
PARLATI Christian ITA
14 85.7%
SHAMILOV Yakub RUS
13 84.6%

Countries

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

Country Fights Share
JPN 244
7.6%
FRA 240
7.5%
RUS 219
6.9%
ITA 169
5.3%
GER 140
4.4%
GEO 135
4.2%
BRA 129
4.0%
NED 105
3.3%
KOR 100
3.1%
UKR 98
3.1%
MGL 84
2.6%
AZE 83
2.6%

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