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Ko-uchi-gari

Based on fight data from 2016 onward.

All scores
2097
High-impact
70.4%
Fight win
89.6%
Avg ELO
1145
Ippon
548
Waza-ari
929
Yuko
620

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 1353 71.9% 89.7%
Women 744 67.7% 89.6%

Weight divisions

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

Division Fights High-impact Fight win
Men -73 kg
276 73.2% 88.2%
Men -81 kg
263 69.2% 88.1%
Men -66 kg
252 66.3% 87.1%
Men -60 kg
244 70.1% 94.3%
Men -90 kg
166 75.9% 91.1%
Women -48 kg
142 64.8% 88.5%
Women -63 kg
136 61.8% 83.1%
Women -70 kg
134 66.4% 89.2%
Women -52 kg
112 69.6% 90.9%
Women -57 kg
106 78.3% 93.1%
Men -100 kg
103 84.5% 86.9%
Women -78 kg
82 65.9% 93.6%

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

Judoka Avg ELO Fights
OLEK Anna Monta GER
1430 5
ABE Hifumi JPN
1393 6
CASSE Matthias BEL
1385 4
DICKO Romane FRA
1354 7
CHARON Jonathan CUB
1344 3
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
LIPARTELIANI Eteri GEO
1311 4
KAJU Haruka JPN
1310 3
IVANOV Ivaylo BUL
1298 4
DE WIT Frank NED
1292 9
TAKEOKA Takeshi JPN
1291 8

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%
POHL Dena GER
11 90.9%
KORREL Michael NED
10 90.0%
ESPOSITO Antonio ITA
10 100.0%
AUGUSTO Michel BRA
10 100.0%
COHEN Gili ISR
10 90.0%
SZABO Aron HUN
10 80.0%
DE WIT Frank NED
9 100.0%
COUGHLAN Aoife AUS
9 88.9%

Countries

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

Country Fights Share
RUS 172
8.6%
JPN 139
7.0%
FRA 123
6.2%
GER 90
4.5%
BRA 81
4.1%
NED 72
3.6%
HUN 68
3.4%
UZB 67
3.4%
KAZ 66
3.3%
KOR 65
3.3%
GEO 64
3.2%
ITA 58
2.9%

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