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Ko-uchi-gari

Based on fight data from 2016 onward.

All scores
1909
High-impact
74.4%
Fight win
90.6%
Avg ELO
1145
Ippon
527
Waza-ari
894
Yuko
488

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 1268 74.6% 90.4%
Women 641 74.1% 90.9%

Weight divisions

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

Division Fights High-impact Fight win
Men -73 kg
256 76.2% 89.0%
Men -81 kg
255 71.4% 89.4%
Men -66 kg
229 67.7% 88.6%
Men -60 kg
220 75.9% 95.2%
Men -90 kg
165 76.4% 91.0%
Women -48 kg
126 71.4% 89.8%
Women -63 kg
116 69.0% 85.6%
Women -70 kg
115 72.2% 89.3%
Men -100 kg
102 85.3% 86.7%
Women -52 kg
98 76.5% 92.7%
Women -57 kg
95 82.1% 93.3%
Women -78 kg
69 73.9% 96.9%

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 4
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%
DE WIT Frank NED
9 100.0%
BOTTIEAU Joachim BEL
9 100.0%
SZABO Aron HUN
9 77.8%
KHALMURZAEV Khasan RUS
8 100.0%
POHL Dena GER
8 87.5%

Countries

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

Country Fights Share
RUS 159
8.8%
JPN 129
7.1%
FRA 114
6.3%
GER 81
4.5%
BRA 67
3.7%
NED 67
3.7%
HUN 65
3.6%
GEO 63
3.5%
KOR 61
3.4%
KAZ 59
3.2%
UZB 59
3.2%
ITA 55
3.0%

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