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Yoko-shiho-gatame

Based on fight data from 2016 onward.

All scores
2937
High-impact
94.0%
Fight win
99.2%
Avg ELO
1152
Ippon
2556
Waza-ari
206
Yuko
175

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 1471 93.6% 98.9%
Women 1466 94.5% 99.5%

Weight divisions

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

Division Fights High-impact Fight win
Men -73 kg
271 91.9% 99.2%
Men -81 kg
253 94.5% 97.6%
Women -57 kg
241 95.0% 100.0%
Women -63 kg
228 94.7% 99.1%
Women -70 kg
226 93.4% 99.1%
Women -48 kg
218 94.5% 100.0%
Men -90 kg
216 96.8% 99.5%
Men -66 kg
210 91.4% 98.6%
Women -52 kg
208 92.3% 99.5%
Men -60 kg
192 88.5% 98.9%
Men +100 kg
181 95.6% 99.4%
Women +78 kg
173 97.1% 99.4%

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

Judoka Avg ELO Fights
POLLING Kim NED
1435 3
MOKDAR Faiza FRA
1390 3
LAVRENTEV Danil RUS
1382 7
HORIKAWA Megumi JPN
1366 4
MAISURADZE Luka GEO
1363 3
IZUMI Mao JPN
1351 3
PALTCHIK Peter ISR
1350 3
DINOVIC Barbara CRO
1347 4
WOLF Aaron JPN
1344 5
FUNAKUBO Haruka JPN
1342 17
TASOEV Inal RUS
1335 4
AGBEGNENOU Clarisse FRA
1331 3
NAGAYAMA Ryuju JPN
1329 5
TUSHISHVILI Guram GEO
1324 4
PARLATI Christian ITA
1323 4

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%
KAJU Haruka JPN
18 100.0%
FUNAKUBO Haruka JPN
17 100.0%
NDIAYE Binta SUI
17 100.0%
BABULFATH Tara SWE
16 100.0%
BUTKEREIT Miriam GER
15 100.0%
HEYDAROV Hidayat AZE
15 100.0%
GVINIASHVILI Beka GEO
14 100.0%
VAZQUEZ FERNANDEZ Laura ESP
14 100.0%
YONEZUKA Jack USA
14 100.0%
NELSON LEVY Timna ISR
13 100.0%
FIGUEROA Julia ESP
13 100.0%
BEAUCHEMIN-PINARD Catherine CAN
13 100.0%
ALBAYRAK Vedat TUR
12 91.7%

Countries

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

Country Fights Share
JPN 477
16.5%
FRA 181
6.2%
RUS 154
5.3%
ESP 134
4.6%
GEO 100
3.5%
MGL 92
3.2%
GER 86
3.0%
ITA 80
2.8%
CHN 74
2.6%
NED 74
2.6%
UKR 68
2.3%
UZB 68
2.3%

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