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Seoi-otoshi

Based on fight data from 2016 onward.

All scores
740
High-impact
73.2%
Fight win
91.1%
Avg ELO
1144
Ippon
168
Waza-ari
374
Yuko
198

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 378 70.1% 91.1%
Men 362 76.5% 91.1%

Weight divisions

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

Division Fights High-impact Fight win
Men -73 kg
71 80.3% 82.6%
Women -57 kg
70 75.7% 85.7%
Women -63 kg
69 65.2% 94.0%
Men -66 kg
65 76.9% 93.5%
Women -48 kg
61 70.5% 91.1%
Men -60 kg
59 57.6% 92.9%
Women +78 kg
54 70.4% 86.3%
Men -90 kg
53 77.4% 90.4%
Men -81 kg
50 80.0% 93.6%
Women -78 kg
48 68.8% 100.0%
Women -70 kg
40 65.0% 91.9%
Men +100 kg
33 90.9% 100.0%

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

Judoka Avg ELO Fights
VAN LIESHOUT Joanne NED
1360 3
VALADIER PICARD Romain FRA
1345 5
HERSHKO Raz ISR
1335 6
MUKI Sagi ISR
1304 4
TSUNODA ROUSTANT Ai ESP
1304 3
KLIMKAIT Jessica CAN
1278 10
TOTH Krisztian HUN
1278 6
PERISIC Marica SRB
1274 4
CARGNIN Daniel BRA
1271 3
TUSHISHVILI Guram GEO
1269 3
CHERNYKH Ivan RUS
1263 3
MAKHMADBEKOV Somon TJK
1260 3
BELLANDI Alice ITA
1259 7
MCKENZIE Ashley GBR
1222 3
BUTBUL Tohar ISR
1219 3

Judoka with the most credited fights using this technique.

Judoka Fights Fight win
ZABIC Milica SRB
11 72.7%
KLIMKAIT Jessica CAN
10 100.0%
SAMPAIO Patricia POR
9 100.0%
PERROT Anais FRA
8 100.0%
BELLANDI Alice ITA
7 100.0%
TAIMAZOVA Madina RUS
7 85.7%
PONGRACZ Bence HUN
7 100.0%
HOMAN Khrystyna UKR
7 71.4%
HERSHKO Raz ISR
6 83.3%
TOTH Krisztian HUN
6 100.0%
KAJZER Kaja SLO
6 100.0%
VALADIER PICARD Romain FRA
5 100.0%
SHEMESH Inbal ISR
5 100.0%
PARDAYEVA Maysa TKM
5 80.0%
MUKI Sagi ISR
4 100.0%

Countries

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

Country Fights Share
FRA 53
7.5%
BRA 36
5.1%
JPN 34
4.8%
RUS 34
4.8%
ITA 32
4.5%
UZB 32
4.5%
NED 31
4.4%
ISR 29
4.1%
HUN 27
3.8%
SRB 24
3.4%
ESP 22
3.1%
MGL 22
3.1%

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