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Sumi-otoshi

Based on fight data from 2016 onward.

All scores
2665
High-impact
88.3%
Fight win
90.8%
Avg ELO
1162
Ippon
708
Waza-ari
1646
Yuko
311

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 1808 90.2% 90.3%
Women 857 84.4% 91.9%

Weight divisions

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

Division Fights High-impact Fight win
Men -73 kg
331 88.8% 89.5%
Men -60 kg
299 90.0% 87.9%
Men -81 kg
288 92.0% 89.3%
Men -66 kg
282 89.7% 92.7%
Men -90 kg
269 91.8% 92.0%
Men -100 kg
183 88.0% 89.9%
Men +100 kg
146 91.8% 90.5%
Women -57 kg
146 84.9% 92.4%
Women -63 kg
146 83.6% 92.3%
Women -70 kg
133 81.2% 93.8%
Women -52 kg
120 90.0% 92.3%
Women -48 kg
117 88.0% 90.4%

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

Judoka Avg ELO Fights
ARBUZOV Timur RUS
1758 3
DICKO Romane FRA
1510 3
CHOPANOV Murad RUS
1485 6
MARET Cyrille FRA
1468 4
FOHOUO April Lynn SUI
1468 3
FAWAZ Martha FRA
1466 5
OLAYA Brenda COL
1451 4
KELMENDI Majlinda KOS
1411 3
IGOLNIKOV Mikhail RUS
1406 5
HASHIMOTO Soichi JPN
1385 4
KHYAR Walide FRA
1375 3
BLIEV Ayub RUS
1372 5
LEE Hyeonji KOR
1366 3
GAITERO MARTIN Alberto ESP
1357 6
MUKI Sagi ISR
1353 3

Judoka with the most credited fights using this technique.

Judoka Fights Fight win
SHERAZADISHVILI Nikoloz ESP
18 88.9%
ORUJOV Rustam AZE
15 93.3%
SILVA Rafaela BRA
15 93.3%
YONDONPERENLEI Baskhuu MGL
14 100.0%
MAJDOV Nemanja SRB
14 100.0%
ALBAYRAK Vedat TUR
12 91.7%
POLLERES Michaela AUT
12 91.7%
KYRGYZBAYEV Gusman KAZ
11 100.0%
NELSON LEVY Timna ISR
11 72.7%
KUKOLJ Aleksandar SRB
11 72.7%
SHMAILOV Baruch ISR
11 100.0%
SHEMESH Inbal ISR
11 90.9%
GANBOLD Kherlen MGL
10 100.0%
FONTAINE Lea FRA
10 90.0%
MARGIANI Ushangi GEO
10 100.0%

Countries

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

Country Fights Share
RUS 186
7.2%
FRA 144
5.6%
GEO 137
5.3%
JPN 135
5.2%
MGL 126
4.9%
AZE 116
4.5%
KAZ 101
3.9%
BRA 96
3.7%
UZB 95
3.7%
ISR 87
3.4%
GER 80
3.1%
NED 76
2.9%

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