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Tani-otoshi

Based on fight data from 2016 onward.

All scores
1190
High-impact
78.7%
Fight win
88.6%
Avg ELO
1171
Ippon
351
Waza-ari
585
Yuko
254

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 700 83.1% 90.1%
Women 490 72.2% 86.4%

Weight divisions

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

Division Fights High-impact Fight win
Men -81 kg
126 77.0% 88.6%
Men -73 kg
124 84.7% 89.3%
Men -66 kg
108 72.2% 86.9%
Men -60 kg
96 84.4% 92.5%
Men -90 kg
95 90.5% 93.5%
Men -100 kg
91 89.0% 87.6%
Women -70 kg
87 64.4% 92.0%
Women -63 kg
85 81.2% 87.5%
Women -52 kg
73 82.2% 86.1%
Women -48 kg
71 69.0% 91.0%
Women -57 kg
71 78.9% 86.8%
Women -78 kg
69 59.4% 80.0%

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

Judoka Avg ELO Fights
KENTOKU Kairi JPN
1586 3
AGHAYEV Balabay AZE
1499 3
TANAKA Shiho JPN
1465 4
TAMAOKI Momo JPN
1410 3
PARDAYEVA Maysa TKM
1395 3
MUNKHBAT Urantsetseg MGL
1368 4
RESSEL Dominic GER
1362 3
BUTKEREIT Miriam GER
1361 5
RODRIGUEZ Elvismar VEN
1350 3
VAN DIJKE Sanne NED
1349 4
POLLERES Michaela AUT
1349 3
SHAVDATUASHVILI Lasha GEO
1332 3
FLICKER Tal ISR
1326 3
KRISTO Katarina CRO
1318 4
MURAO Sanshiro JPN
1297 3

Judoka with the most credited fights using this technique.

Judoka Fights Fight win
BALLHAUS Mascha GER
9 100.0%
KUKOLJ Aleksandar SRB
9 77.8%
HOJAK Martin SLO
8 87.5%
FATIYEV Murad AZE
7 100.0%
GAHIE Marie Eve FRA
7 100.0%
PRIMO Gefen ISR
6 100.0%
SILVA Rafaela BRA
6 100.0%
SHAMILOV Yakub RUS
6 83.3%
AKKUS Mihrac TUR
6 100.0%
GANBAT Boldbaatar MGL
6 100.0%
KRSSAKOVA Magdalena AUT
6 66.7%
BUTKEREIT Miriam GER
5 100.0%
KHUBETSOV Alan RUS
5 100.0%
BAYRAMOV Turan AZE
5 100.0%
KOKAURI Ushangi AZE
5 100.0%

Countries

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

Country Fights Share
RUS 94
8.1%
GER 66
5.7%
AZE 60
5.2%
FRA 54
4.7%
JPN 54
4.7%
MGL 50
4.3%
GEO 47
4.1%
BRA 45
3.9%
KAZ 43
3.7%
AUT 32
2.8%
UZB 31
2.7%
NED 30
2.6%

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