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Sode-tsurikomi-goshi

Based on fight data from 2016 onward.

All scores
1426
High-impact
90.0%
Fight win
93.3%
Avg ELO
1159
Ippon
474
Waza-ari
810
Yuko
142

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 950 91.3% 92.1%
Women 476 87.6% 95.6%

Weight divisions

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

Division Fights High-impact Fight win
Men -66 kg
228 94.3% 91.9%
Men -73 kg
163 92.0% 90.6%
Men -81 kg
151 86.1% 89.1%
Men -60 kg
147 86.4% 93.8%
Women -48 kg
142 88.7% 94.2%
Women -52 kg
112 87.5% 96.2%
Men -90 kg
107 92.5% 96.0%
Men -100 kg
93 93.5% 92.1%
Women -57 kg
74 90.5% 93.1%
Men +100 kg
58 96.6% 93.0%
Women -70 kg
50 88.0% 95.9%
Women -63 kg
45 86.7% 100.0%

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

Judoka Avg ELO Fights
BALLHAUS Mascha GER
1445 3
CHOPANOV Murad RUS
1423 3
TOMA Sergiu UAE
1421 3
GAUTHIER DRAPEAU Francois CAN
1409 3
MUKAI Shoichiro JPN
1401 3
SCUTTO Assunta ITA
1363 4
HASHIMOTO Soichi JPN
1355 21
ZACHOVA Renata CZE
1352 4
JEONG Bokyeong KOR
1338 3
ABE Hifumi JPN
1332 21
GWAK Donghan KOR
1329 4
TAKATO Naohisa JPN
1322 3
AN Baul KOR
1309 4
AN Changrim KOR
1306 4
NAGAYAMA Ryuju JPN
1300 11

Judoka with the most credited fights using this technique.

Judoka Fights Fight win
HASHIMOTO Soichi JPN
21 100.0%
ABE Hifumi JPN
21 100.0%
NIKOLIC Milica SRB
19 100.0%
MUKI Sagi ISR
17 100.0%
FONSECA Jorge POR
14 85.7%
PARETO Paula ARG
13 92.3%
ABE Uta JPN
13 100.0%
ABDULZHALILOV Abdula RUS
12 83.3%
NAGAYAMA Ryuju JPN
11 100.0%
FUJISHIRO Kokoro JPN
11 100.0%
VAN T END Noel NED
11 100.0%
FLICKER Tal ISR
11 100.0%
BUTBUL Tohar ISR
11 100.0%
SASSON Or ISR
10 100.0%
HERSHKO Raz ISR
10 100.0%

Countries

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

Country Fights Share
JPN 173
12.5%
ISR 121
8.8%
RUS 103
7.5%
UZB 76
5.5%
GEO 55
4.0%
POR 55
4.0%
AZE 53
3.8%
ITA 46
3.3%
KOR 44
3.2%
NED 44
3.2%
BRA 38
2.8%
MGL 38
2.8%

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