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Kata-Guruma

Based on fight data from 2016 onward.

All scores
1226
High-impact
86.9%
Fight win
91.8%
Avg ELO
1169
Ippon
377
Waza-ari
688
Yuko
161

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 963 88.1% 91.5%
Women 263 82.5% 92.6%

Weight divisions

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

Division Fights High-impact Fight win
Men -66 kg
207 90.3% 94.0%
Men -60 kg
195 86.7% 93.5%
Men -73 kg
191 84.8% 90.8%
Men -81 kg
157 93.0% 90.1%
Men -90 kg
112 81.2% 88.8%
Men -100 kg
71 93.0% 92.5%
Women -52 kg
66 89.4% 93.7%
Women -48 kg
59 91.5% 93.1%
Women -57 kg
59 76.3% 91.1%
Women -63 kg
38 71.1% 92.1%
Women -70 kg
25 68.0% 92.0%
Men +100 kg
23 95.7% 77.3%

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

Judoka Avg ELO Fights
PIRAS Matteo ITA
1462 3
MKHEIDZE Luka FRA
1459 7
PASHAYEV Ruslan AZE
1406 3
KHYAR Walide FRA
1346 4
MAKHMADBEKOV Makhmadbek RUS
1345 3
GARCIA TORNE David ESP
1344 12
FATIYEV Murad AZE
1343 4
YONDONPERENLEI Baskhuu MGL
1343 3
VALOIS-FORTIER Antoine CAN
1334 3
NAIRNE Ethan GBR
1331 6
AGHAYEV Balabay AZE
1328 10
PIRELLI Gennaro ITA
1320 3
IVANOV Ivaylo BUL
1315 4
COSTA Catarina POR
1314 6
HEYDAROV Hidayat AZE
1313 8

Judoka with the most credited fights using this technique.

Judoka Fights Fight win
BUCHARD Amandine FRA
50 96.0%
LOMBARDO Manuel ITA
26 100.0%
MOLLAEI Saeid MGL
14 92.9%
BASILE Fabio ITA
13 92.3%
GARCIA TORNE David ESP
12 100.0%
SHMAILOV Baruch ISR
12 100.0%
AGHAYEV Balabay AZE
10 100.0%
VARAPAYEU Yahor BLR
10 90.0%
SAIYINJIRIGALA CHN
9 100.0%
GANTULGA Altanbagana MGL
9 88.9%
RODRIGUEZ SALVADOR Adriana ESP
9 88.9%
HEYDAROV Hidayat AZE
8 100.0%
PINA Tais POR
8 87.5%
FLICKER Tal ISR
8 100.0%
PERISIC Marica SRB
8 100.0%

Countries

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

Country Fights Share
FRA 88
7.5%
ITA 80
6.8%
AZE 78
6.6%
KAZ 63
5.3%
MGL 53
4.5%
ISR 49
4.2%
RUS 49
4.2%
UZB 46
3.9%
KOR 42
3.6%
ESP 36
3.1%
GBR 31
2.6%
POR 31
2.6%

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