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Kata-gatame

Based on fight data from 2016 onward.

All scores
243
High-impact
97.1%
Fight win
99.2%
Avg ELO
1154
Ippon
219
Waza-ari
17
Yuko
7

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 163 96.9% 100.0%
Women 80 97.5% 97.5%

Weight divisions

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

Division Fights High-impact Fight win
Men -81 kg
44 100.0% 100.0%
Men -60 kg
33 97.0% 100.0%
Men -90 kg
28 92.9% 100.0%
Men -66 kg
24 95.8% 100.0%
Women -70 kg
20 100.0% 100.0%
Women -52 kg
18 100.0% 94.1%
Women -48 kg
15 86.7% 93.3%
Men -73 kg
12 100.0% 100.0%
Men +100 kg
11 100.0% 100.0%
Men -100 kg
10 90.0% 100.0%
Women -57 kg
9 100.0% 100.0%
Women -63 kg
8 100.0% 100.0%

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

Judoka Avg ELO Fights
DRAKSIC Rok SLO
1265 3
KUKOLJ Aleksandar SRB
1262 3
ABDULAEV Ramazan RUS
1261 6
COUGHLAN Aoife AUS
1202 8
TAKAICHI Miku JPN
1182 3
CSOKNYAI Laszlo HUN
1180 7
VERSTRAETEN Jorre BEL
1172 7
DOVDON Altansukh MGL
1167 4
MOLLAEI Saeid MGL
1162 4
DEGUCHI Kelly CAN
1160 3
KIM Jisu KOR
1158 4
BENAMADI Abderrahmane ALG
1153 3
RAJABLI Omar AZE
1141 5
VISAN Vlad ROU
1140 3
LOBNIK Metka SLO
1137 5

Judoka with the most credited fights using this technique.

Judoka Fights Fight win
COUGHLAN Aoife AUS
8 100.0%
CSOKNYAI Laszlo HUN
7 100.0%
VERSTRAETEN Jorre BEL
7 100.0%
ABDULAEV Ramazan RUS
6 100.0%
VOLKOV Andrey RUS
6 100.0%
RAJABLI Omar AZE
5 100.0%
LOBNIK Metka SLO
5 100.0%
DOVDON Altansukh MGL
4 100.0%
MOLLAEI Saeid MGL
4 100.0%
KIM Jisu KOR
4 100.0%
DRAKSIC Rok SLO
3 100.0%
KUKOLJ Aleksandar SRB
3 100.0%
TAKAICHI Miku JPN
3 100.0%
DEGUCHI Kelly CAN
3 66.7%
BENAMADI Abderrahmane ALG
3 100.0%

Countries

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

Country Fights Share
RUS 24
10.0%
JPN 22
9.2%
GER 15
6.2%
SLO 14
5.8%
MGL 12
5.0%
AZE 11
4.6%
HUN 11
4.6%
ITA 11
4.6%
AUS 9
3.8%
BEL 8
3.3%
KOR 8
3.3%
CAN 7
2.9%

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