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Okuri-eri-jime

Based on fight data from 2016 onward.

All scores
922
High-impact
100.0%
Fight win
99.9%
Avg ELO
1145
Ippon
921
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 488 100.0% 100.0%
Men 434 100.0% 99.8%

Weight divisions

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

Division Fights High-impact Fight win
Women -63 kg
91 100.0% 100.0%
Men -73 kg
90 100.0% 98.9%
Men -81 kg
90 100.0% 100.0%
Women -57 kg
83 100.0% 100.0%
Women -48 kg
82 100.0% 100.0%
Women -52 kg
76 100.0% 100.0%
Men -60 kg
73 100.0% 100.0%
Women -70 kg
70 100.0% 100.0%
Men -66 kg
66 100.0% 100.0%
Men -90 kg
51 100.0% 100.0%
Women +78 kg
42 100.0% 100.0%
Women -78 kg
38 100.0% 100.0%

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

Judoka Avg ELO Fights
BALLHAUS Mascha GER
1508 3
LEIVA SANCHEZ Ayumi ESP
1473 3
SMETOV Yeldos KAZ
1473 3
TAVANO Asya ITA
1391 4
NASCIMENTO Shirlen BRA
1350 3
BALLHAUS Seija GER
1340 6
GWAK Donghan KOR
1340 3
TOMITA Wakaba JPN
1329 3
CASSE Matthias BEL
1318 5
KYRGYZBAYEV Gusman KAZ
1318 3
RESSEL Dominic GER
1316 6
ORTIZ Idalys CUB
1297 5
NIKIFOROV Toma BEL
1289 4
SZYMANSKA Angelika POL
1280 3
CVJETKO Lara CRO
1268 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%
BALLHAUS Seija GER
6 100.0%
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%

Countries

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

Country Fights Share
GER 78
8.5%
JPN 53
5.7%
KAZ 46
5.0%
FRA 45
4.9%
GBR 44
4.8%
RUS 41
4.4%
BRA 40
4.3%
NED 39
4.2%
BEL 31
3.4%
HUN 29
3.1%
UZB 27
2.9%
ITA 26
2.8%

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