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Ko-uchi-gari

Based on fight data from 2016 onward.

All scores
1959
High-impact
73.5%
Fight win
90.4%
Avg ELO
1145
Ippon
533
Waza-ari
906
Yuko
520

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 1288 74.2% 90.3%
Women 671 72.0% 90.5%

Weight divisions

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

Division Fights High-impact Fight win
Men -73 kg
261 75.9% 89.2%
Men -81 kg
255 71.4% 89.4%
Men -66 kg
237 67.1% 88.1%
Men -60 kg
227 74.9% 94.9%
Men -90 kg
165 76.4% 91.0%
Women -48 kg
130 70.0% 89.3%
Women -70 kg
125 69.6% 89.3%
Women -63 kg
118 67.8% 85.8%
Men -100 kg
102 85.3% 86.7%
Women -52 kg
99 75.8% 92.8%
Women -57 kg
98 79.6% 92.5%
Women -78 kg
76 68.4% 94.4%

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

Judoka Avg ELO Fights
ABE Hifumi JPN
1394 6
CASSE Matthias BEL
1385 4
TCHRIKISHVILI Avtandili GEO
1353 3
LIPARTELIANI Eteri GEO
1345 4
CHARON Jonathan CUB
1342 3
AGBEGNENOU Clarisse FRA
1341 3
DICKO Romane FRA
1340 5
TAKATO Naohisa JPN
1334 16
EGUTIDZE Anri POR
1323 4
WAGNER Anna-Maria GER
1317 4
TSUNODA Natsumi JPN
1314 3
AN Changrim KOR
1312 4
IVANOV Ivaylo BUL
1298 4
DE WIT Frank NED
1292 9
KORREL Michael NED
1290 10

Judoka with the most credited fights using this technique.

Judoka Fights Fight win
TAKATO Naohisa JPN
16 100.0%
PELIVAN Petru MDA
16 81.2%
UNGVARI Attila HUN
16 93.8%
MOGUSHKOV Musa RUS
13 92.3%
MSHVIDOBADZE Robert RUS
12 100.0%
JEREB Andraz SLO
11 100.0%
CILOGLU Bilal TUR
11 90.9%
KORREL Michael NED
10 90.0%
ESPOSITO Antonio ITA
10 100.0%
COHEN Gili ISR
10 90.0%
POHL Dena GER
10 90.0%
DE WIT Frank NED
9 100.0%
COUGHLAN Aoife AUS
9 88.9%
BOTTIEAU Joachim BEL
9 100.0%
SZABO Aron HUN
9 77.8%

Countries

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

Country Fights Share
RUS 163
8.8%
JPN 135
7.3%
FRA 115
6.2%
GER 87
4.7%
BRA 69
3.7%
NED 68
3.7%
HUN 65
3.5%
KOR 64
3.4%
GEO 63
3.4%
KAZ 61
3.3%
UZB 59
3.2%
ITA 56
3.0%

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