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Ko-uchi-gari

Based on fight data from 2016 onward.

All scores
2047
High-impact
71.5%
Fight win
90.1%
Avg ELO
1184
Ippon
543
Waza-ari
921
Yuko
583

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 1334 72.7% 90.0%
Women 713 69.3% 90.1%

Weight divisions

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

Division Fights High-impact Fight win
Men -73 kg
271 74.5% 88.4%
Men -81 kg
260 70.0% 88.8%
Men -66 kg
246 66.7% 87.7%
Men -60 kg
239 71.5% 94.7%
Men -90 kg
166 75.9% 91.1%
Women -48 kg
139 66.2% 89.0%
Women -70 kg
130 66.9% 89.7%
Women -63 kg
125 64.0% 84.2%
Women -52 kg
106 72.6% 92.3%
Men -100 kg
103 84.5% 86.9%
Women -57 kg
103 78.6% 92.9%
Women -78 kg
80 67.5% 93.4%

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

Judoka Avg ELO Fights
OLEK Anna Monta GER
1735 5
ARBUZOV Timur RUS
1714 3
KAJU Haruka JPN
1708 3
DICKO Romane FRA
1541 6
LIPARTELIANI Eteri GEO
1532 4
KIM Jonghoon KOR
1524 4
CHARON Jonathan CUB
1481 3
VOROBEVA Marina RUS
1462 4
TAKEOKA Takeshi JPN
1428 8
COUGHLAN Aoife AUS
1427 9
STANGHERLIN Giorgia ITA
1415 4
AUGUSTO Michel BRA
1409 10
AGBEGNENOU Clarisse FRA
1397 4
ABE Hifumi JPN
1394 6
LIMA Ronald BRA
1394 3

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

Countries

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

Country Fights Share
RUS 169
8.7%
JPN 137
7.1%
FRA 118
6.1%
GER 90
4.6%
BRA 78
4.0%
NED 70
3.6%
HUN 66
3.4%
KAZ 66
3.4%
KOR 65
3.3%
UZB 65
3.3%
GEO 64
3.3%
ITA 56
2.9%

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