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Okuri-eri-jime

Based on fight data from 2016 onward.

All scores
884
High-impact
100.0%
Fight win
99.9%
Avg ELO
1132
Ippon
883
Waza-ari
1
Yuko
0

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 463 100.0% 100.0%
Men 421 100.0% 99.8%

Weight divisions

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

Division Fights High-impact Fight win
Men -81 kg
90 100.0% 100.0%
Women -63 kg
89 100.0% 100.0%
Men -73 kg
88 100.0% 98.9%
Women -57 kg
79 100.0% 100.0%
Women -48 kg
75 100.0% 100.0%
Women -52 kg
74 100.0% 100.0%
Men -60 kg
71 100.0% 100.0%
Women -70 kg
66 100.0% 100.0%
Men -66 kg
63 100.0% 100.0%
Men -90 kg
49 100.0% 100.0%
Women +78 kg
40 100.0% 100.0%
Women -78 kg
36 100.0% 100.0%

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

Judoka Avg ELO Fights
SMETOV Yeldos KAZ
1473 3
GWAK Donghan KOR
1340 3
CASSE Matthias BEL
1318 5
KYRGYZBAYEV Gusman KAZ
1318 3
RESSEL Dominic GER
1316 6
ORTIZ Idalys CUB
1297 5
TOMITA Wakaba JPN
1290 3
NIKIFOROV Toma BEL
1289 4
SZYMANSKA Angelika POL
1280 3
SHAMSHADIN Magzhan KAZ
1250 3
LEIVA SANCHEZ Ayumi ESP
1246 3
PERISIC Marica SRB
1245 3
DINOVIC Barbara CRO
1232 3
POWELL Natalie GBR
1225 3
DEGUCHI Christa CAN
1224 3

Judoka with the most credited fights using this technique.

Judoka Fights Fight win
MARGELIDON Arthur CAN
11 100.0%
UNGVARI Attila HUN
11 100.0%
SHARIR Gili ISR
9 100.0%
HOWELL Gemma GBR
8 100.0%
VAN KREVEL Naomi NED
8 100.0%
CIRJENICS Miklos HUN
7 100.0%
ZINGG Anthony GER
7 100.0%
CERIC Larisa BIH
7 100.0%
RESSEL Dominic GER
6 100.0%
VAN SNICK Charline BEL
6 100.0%
LIVESEY Amy GBR
6 100.0%
CASSE Matthias BEL
5 100.0%
ORTIZ Idalys CUB
5 100.0%
LAPPINAGOV Aslan RUS
5 100.0%
QUADROS Ketleyn BRA
5 100.0%

Countries

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

Country Fights Share
GER 74
8.4%
JPN 51
5.8%
GBR 43
4.9%
KAZ 43
4.9%
FRA 42
4.8%
RUS 40
4.5%
BRA 38
4.3%
NED 38
4.3%
BEL 28
3.2%
HUN 28
3.2%
UZB 27
3.1%
MGL 25
2.8%

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