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Sumi-gaeshi

Based on fight data from 2016 onward.

All scores
1206
High-impact
79.8%
Fight win
89.2%
Avg ELO
1169
Ippon
279
Waza-ari
683
Yuko
244

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 862 82.0% 89.0%
Women 344 74.1% 89.8%

Weight divisions

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

Division Fights High-impact Fight win
Men -73 kg
212 87.3% 91.6%
Men -66 kg
158 74.7% 94.0%
Men -81 kg
132 82.6% 86.9%
Men -60 kg
125 82.4% 87.7%
Men -90 kg
118 78.8% 82.9%
Men -100 kg
78 84.6% 88.2%
Women -48 kg
74 75.7% 95.8%
Women -63 kg
64 65.6% 88.5%
Women -70 kg
59 74.6% 93.2%
Women -57 kg
56 80.4% 85.5%
Women -52 kg
43 93.0% 88.1%
Women -78 kg
41 63.4% 86.5%

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

Judoka Avg ELO Fights
BEKAURI Lasha GEO
1738 3
BOUKLI Shirine FRA
1472 8
SKERLEV Victor BUL
1413 3
GVINIASHVILI Beka GEO
1373 3
TAMAOKI Momo JPN
1370 5
DE WIT Frank NED
1330 8
TORO SOLER Ariane ESP
1328 4
ABULADZE Iago RUS
1323 7
GALITSKAIA Kseniia RUS
1320 4
TOMA Sergiu UAE
1312 3
UNGVARI Miklos HUN
1312 3
ABDULAEV Ramazan RUS
1299 3
MKHEIDZE Luka FRA
1297 3
CVJETKO Lara CRO
1294 5
BAKHBAKHASHVILI Mikheili GEO
1292 3

Judoka with the most credited fights using this technique.

Judoka Fights Fight win
STEVENSON Karen NED
14 85.7%
GOMBOC Adrian SLO
13 92.3%
IVANOV Ivaylo BUL
12 100.0%
SHEROV Abubakr TJK
12 100.0%
PELIVAN Petru MDA
11 100.0%
MACIAS Tommy SWE
10 90.0%
ISSOUFI Kaila FRA
9 100.0%
GILIAZOVA Sabina RUS
9 88.9%
NYMAN Marcus SWE
9 100.0%
BOUKLI Shirine FRA
8 100.0%
DE WIT Frank NED
8 87.5%
KHYAR Walide FRA
8 100.0%
NIANG Assmaa MAR
8 87.5%
MUKETE Daniel RUS
8 87.5%
ABULADZE Iago RUS
7 100.0%

Countries

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

Country Fights Share
FRA 105
9.0%
RUS 99
8.5%
AZE 55
4.7%
KAZ 54
4.6%
ESP 44
3.8%
MGL 42
3.6%
NED 35
3.0%
GEO 33
2.8%
GER 31
2.7%
HUN 31
2.7%
SLO 30
2.6%
UKR 28
2.4%

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