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Yoko-shiho-gatame

Based on fight data from 2016 onward.

All scores
3096
High-impact
93.5%
Fight win
99.1%
Avg ELO
1149
Ippon
2678
Waza-ari
217
Yuko
201

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
Women 1575 93.5% 99.2%
Men 1521 93.6% 98.9%

Weight divisions

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

Division Fights High-impact Fight win
Men -73 kg
278 92.1% 99.3%
Women -57 kg
262 93.1% 99.6%
Men -81 kg
258 94.6% 97.6%
Women -63 kg
242 94.2% 99.2%
Women -70 kg
239 92.9% 99.2%
Women -48 kg
238 92.4% 99.1%
Men -90 kg
220 96.8% 99.5%
Women -52 kg
219 91.8% 99.5%
Men -66 kg
216 91.7% 98.6%
Men -60 kg
211 88.6% 99.0%
Women +78 kg
190 96.8% 99.5%
Men +100 kg
182 95.6% 99.4%

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

Judoka Avg ELO Fights
POLLING Kim NED
1435 3
NAGAYAMA Ryuju JPN
1428 5
MOKDAR Faiza FRA
1390 3
LAVRENTEV Danil RUS
1381 8
HORIKAWA Megumi JPN
1366 4
PALTCHIK Peter ISR
1350 3
COUGHLAN Aoife AUS
1349 4
DINOVIC Barbara CRO
1347 4
WOLF Aaron JPN
1344 5
TASOEV Inal RUS
1335 4
AGBEGNENOU Clarisse FRA
1331 3
TUSHISHVILI Guram GEO
1324 4
PARLATI Christian ITA
1322 4
ORTIZ Idalys CUB
1320 5
FUNAKUBO Haruka JPN
1316 19

Judoka with the most credited fights using this technique.

Judoka Fights Fight win
NYMAN Marcus SWE
23 100.0%
TAMAOKI Momo JPN
22 100.0%
FUNAKUBO Haruka JPN
19 100.0%
KAJU Haruka JPN
19 100.0%
BABULFATH Tara SWE
17 100.0%
NDIAYE Binta SUI
17 100.0%
BUTKEREIT Miriam GER
16 100.0%
VAZQUEZ FERNANDEZ Laura ESP
16 100.0%
HEYDAROV Hidayat AZE
15 100.0%
YONEZUKA Jack USA
15 100.0%
GVINIASHVILI Beka GEO
14 100.0%
KHALMATOV Dilshot UKR
14 100.0%
BEAUCHEMIN-PINARD Catherine CAN
14 100.0%
NELSON LEVY Timna ISR
13 100.0%
FIGUEROA Julia ESP
13 100.0%

Countries

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

Country Fights Share
JPN 497
16.3%
FRA 187
6.1%
RUS 162
5.3%
ESP 144
4.7%
GEO 100
3.3%
MGL 95
3.1%
GER 91
3.0%
ITA 86
2.8%
NED 80
2.6%
CHN 77
2.5%
UKR 73
2.4%
ISR 71
2.3%

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