1.3 Height and weight in Judo an analysis of Olympic athletes

1.3 Height and weight in Judo an analysis of Olympic athletes
=============================================================

2024-07-25

I've been experimenting with SAS and Quarto for literate programming
purposes (see *note SASpy Documentation-as-Code::), and this analysis is
a result of that; the content here was created automatically by pandoc
from the markdown source file to Texinfo, and only slightly adjusted to
fit into the format I use for this blog.

• The resulting PDF file (ideal for those wanting to read the
analysis) (1)
• Dataset CSV: useful for adding improvements and checking the source
for the height used (2)

This draft is an improved version that replaces the heights from the
IJF with curated values, collected from different sources. While it
doesn't cover the entire list of athletes, it already covers the
majority of them. The CSV above will be updated and a new version done
with new values.

1.3.1 Abstract
--------------

Judo, in its sporting form, includes different weight categories for
competition, and the discussion about the most common height for each
category is of interest. Based on available data for the Paris 2024
Olympics we determine the mean height for each category, as well as the
possible relationship with ranking. The preliminary results do not seem
to indicate any strong relation between height and competitive success
that can be applied to all weight categories, but additional venues for
investigation based on the dataset exist.

1.3.2 Introduction
------------------

=====: :-----==----------.:=-----:::-------=:.======+==========: ===++
%%%%%= =%####%%%%#####***.-#***++=-=++++++++-.++++++***********- *#***
%%%%%= +%%%%@@@@@@@@@@@%%:-#****+==+*#******=.*****************- +****
####%= +%%%%%%%%%%%%%%##%:=@%%##=---=%%%%%##=.#****************- +#***
####%= +%%%%%%%%%%%%%%%%@-+@%@@@==#=-@@@@@@@+.######%%%%%##%%%%= *%#%%
%%%%%=.+%##%#%%%%%%%%%%%%-=%#%%+-#@*-+%%%%#==-%%%%%%%%%%@%%%%%%= #@%%%
*#%#%=.+%%#######*#%%%%#%-=*-*+--===--+%%@*:**%%%%%%%%%%%%%%%%%= *%%%%
++**#=.=########=-=#####%:--==--======+##*+:==####-+#%%%%%#%%#%= *##*+
=====:.:---=+##*-=+++++=+==+**==**#####%+.::::-*%+--+*=+@@@#+==: -=---
=====:.=+**##++%***==+++#%%%#%%+*#=---:-#+:-:::+*+-.:-=%%*##@@#+::----
--===:.*#####= +%%%-:-+*#.+%%#*@**- *##:.#-:-::-===-:-*:-++-:#@@-:=---
=++==: :*###%%= +#+*===#- #%%.:%#+*:.#*:.*=:::==-=+==# +@@@@-.@= :-:-:
+++=+: -+*##+** :%*=--+# =@@+ #++++*::--+++=:::++::+@%.-#%%+.=#: -++==
+**+*- -++%*---=###*=+#%=:--.+@*===+#*++=-====-=+=-*%@@+==-=#*=: =*==*
+*+++- :+++#%#%%*#*+==*#%#*#%@@+-------+=--=+==--+*++%@@@@@@+=-. -=-==
-----:.:---++*%%=*#%*---=#@#*#%+------=+==-=+==-=*+++*@%-+*=---:.-===-
-----:::--===*%#==*#%==-+%@==#%+------======++=-=*++%*%%=---==-::-----
-------====+++%#++*#@*+++%@+*#@*+******+-=*=+*#*#**@@**@#*+=---::-----
--==+++++++++*#+=+*#@*=+=#*==**=+*****++=+#-=######%@#*@####*+=:::----
++***++++******==**++++++*++==+=++++=-.:++*--*#######%*########*=-::--
********************+***************++++++++=+++**+**#*###########*+--
*************************************************#*****############%#*

Source: IJF: 500 to go to Paris 2024! (3)

The relation between the height of _judoka_ and their corresponding
weight category is a topic that sparks some curiosity (*note
brazofuerte: brazofuerte, 2022), and can also be of competitive interest
for athletes deciding on a specific weight category.

Some existing literature (*note Franchini, Sterkowicz-Przybycień, and
Takito: franchini. 2014) has covered the topic from different
perspectives. Here we specifically focus on the height of Judo athletes
in different categories and how if it relates to competitive success.

1.3.3 Material and methods
--------------------------

Information on the Judo athletes was obtained from several sources,
including the the JudoTV site (*note IJF 2024b::) which lists the
athletes scheduled for participation in the Olympic Games Paris 2024
with their height, and the official reports from the Paris 2024 Summer
Olympics, namely the weigh-in reports (*note Paris2024::). Relevant
data was collected from the individual pages through manual and
automatic methods, and gender was determined by the corresponding weight
class. The height information present in the IJF sources (which is
used, for example, by JudoTV, the European Judo Union, and some national
federations) was initially used as a basis, but validation through
sampling showed that the data was highly inconsistent with known athlete
heights; as such, height information was collected from multiple sources
(including official reports from Judo competitions, interviews, and
sports magazines) and added to the data set: while it's still possible
that the height information contains outdated or erroneous information
(especially in younger athletes), validation by sampling and comparing
known height information was robust.

All statistical analysis was done with SAS (*note SAS: Data and AI
Solutions:: 2014) .

1.3.4 Analysis and results
--------------------------

1.3.4.1 Categories, weight, and height
.....................................

We start by obtaining a description of the ‘height’ variable for each
weight category, with the categories ordered in descending order. The
average height is, unsurprisingly, higher in heavier weight classes.

We start by obtaining a description of the ‘height’ and ‘weight’
variable for each weight category, with the categories ordered in
descending order. The average height is, unsurprisingly, higher in
heavier weight classes.

order gender1 category1N Obs Variable N Mean Std Dev Minimum Maximum
--------------------------------------------------------------------------------------------------------------------------------------------
1 M 100 17 height_cur 17 193.2 6.5 178.0 204.0
weight 17 19.4 113.5 172.8
135.1
2 M -100 21 height_cur 21 187.5 6.3 174.0 202.0
weight 21 0.4 97.8 99.9
99.6
3 M -90 25 height_cur 25 182.4 4.8 170.0 190.0
weight 25 0.2 89.1 90.0
89.7
4 M -81 25 height_cur 25 178.6 4.1 170.0 185.0
weight 24 0.1 80.3 80.9
80.7
5 W 78 17 height_cur 17 174.4 6.8 160.0 183.0
weight 17 15.0 92.1 138.3
114.3
6 W -78 16 height_cur 16 175.8 5.2 168.0 186.0
weight 16 0.3 77.0 77.9
77.6
7 M -73 19 height_cur 19 173.6 5.5 161.0 183.0
weight 19 0.2 72.6 73.4
72.8
8 W -70 20 height_cur 20 171.2 5.7 162.0 181.0
weight 20 0.5 67.5 70.0
69.6
9 M -66 20 height_cur 20 170.3 5.0 160.0 180.0
weight 20 0.1 65.6 66.0
65.8
10 W -63 20 height_cur 20 166.9 4.3 161.0 175.0
weight 20 0.3 61.7 62.9
62.6
11 M -60 17 height_cur 17 164.8 4.4 156.0 172.0
weight 17 0.1 59.7 60.0
59.8
12 W -57 19 height_cur 19 164.5 6.6 153.0 185.0
weight 19 0.1 56.6 56.9
56.8
13 W -52 15 height_cur 15 161.4 6.4 155.0 177.0
weight 15 0.2 51.3 52.0
51.8
14 W -48 24 height_cur 24 156.1 3.9 150.0 164.0
weight 24 0.1 47.5 48.0
47.8

Plotting the average height makes it clearer that the only exceptions
are _+78 (W)_ and _-78 (W)_: the first is heavier, but shorter in
average than the latter.

[images/Judo-height_files/figure-texinfo/cell-5-output-1]
The number of athletes in each weight category is reasonably similar
(15 - 25). The height distribution is different in each category, with
the box plot showing the interquartile distribution and the spread.

[images/Judo-height_files/figure-texinfo/cell-6-output-1]

1.3.4.2 The height of nations
............................

Going into each weight category, we can analyse how different countries
measure up. Each category has a different number of participating
athletes, which belong to different countries: some countries are
present in all categories (for example, Japan and France), while many
others are absent in one or more categories.

Here we display the mean height of each nation, in each weight
category, ordered from highest to lowest.

[images/Judo-height_files/figure-texinfo/cell-7-output-1]
The table at *note Section 5.2: #sec-mean-heights-per-category.
complements this chart by showing the ordered list of countries, per
category. Selecting only the highest and lowest means per category
allows us to have an idea about how consistently do nations rank in
terms of height, albeit limited to the top and bottom spots only.

[images/Judo-height_files/figure-texinfo/cell-8-output-1]

1.3.4.3 Height, category, and ranking
....................................

Is there a relation between relative height and success in a specific
weight category? This is not something that can be easily answered, and
for now, we will remain within the scope of descriptive analytics to at
least shed some light on the topic.

This analysis shows every athlete mapped into two dimensions: their
height, and their position in the Judo World Ranking List
(https://www.ijf.org/wrl) (*note IJF 2024a::) (as present in the
source).

A lower vertical position means a better spot in the list. The
regression line helps identifying the general trend for the category.

[images/Judo-height_files/figure-texinfo/cell-9-output-1]

1.3.4.4 Weight variation
.......................

Weight, unsurprisingly, shows little variance around the category limit:
athletes attempt to be as close as possible to the category limit, with
most values deviation less than 1kg (4), with the exception of the open
classes (+100 and +78 kg), which being unconstrained by weight limits
present much more variation.

[images/Judo-height_files/figure-texinfo/cell-10-output-1]
A scatter plot using height and weight as the axis shows this
clearly: most categories have very little horizontal variance and show
up as vertical lines along the category limit, with the open weight
classes being the only ones with significant spread.

[images/Judo-height_files/figure-texinfo/cell-11-output-1]

1.3.5 Conclusion
----------------

The results are consistent with previous analysis in terms of heavier
weights corresponding with increased height, as expected (*note
Franchini, Sterkowicz-Przybycień, and Takito: franchini. 2014, p. 41).
We have determined the mean height for all categories with a reasonable
sample size (n >= 15), a result that can be useful as a reference for
future discussions.

In terms of competitive success, the results are varied and do not
show any obvious relation between success and relative height: if in
some it appears to exist (-73 kg), it others it shows an inverse
relationship (-57 kg), while many do not show any significant relation
at all. A more detailed analysis of variance, and other statistical
methods, remain viable venues for enhancing this preliminary study.

1.3.6 Appendix
--------------

1.3.6.1 Dataset
..............

Obs name nation gender1 age wrl1_num category1 height_cur weight
----------------------------------------------------------------------------------------------------------
1 Ushangi KOKAURI Azerbaijan M 32 17 100 195 142.8
2 Rafael SILVA Brazil M 37 14 100 203 172.8
3 Andy GRANDA Cuba M 32 5 100 197 120.1
4 Lukas KRPALEK Czechia M 33 11 100 198 113.5
5 Teddy RINER France M 35 7 100 204 141.5
6 Guram TUSHISHVILI Georgia M 29 4 100 193 117.4
7 Erik ABRAMOV Germany M 25 18 100 191 118.4
8 Tatsuru SAITO Japan M 22 6 100 191 172
9 Marvin GADEAU Monaco M 23 112 100 187 154
10 Tsetsentsengel ODKHUU Mongolia M 24 19 100 196 122.4
11 Jelle SNIPPE Netherlands M 25 13 100 194 113.7
12 Minjong KIM Republic of M 23 1 100 184 133.8
13 Enej MARINIC Slovenia M 25 31 100 190 136.1
14 Temur RAKHIMOV Tajikistan M 27 3 100 198 122.5
15 Ibrahim TATAROGLU Turkiye M 18 23 100 195 160
16 Magomedomar MAGOMEDOMA United Arab M 23 15 100 178 130.3
17 Alisher YUSUPOV Uzbekistan M 25 9 100 190 125.6
18 Aaron FARA Austria M 27 21 -100 193 99.3
19 Zelym KOTSOIEV Azerbaijan M 25 1 -100 192 99.7
20 Toma NIKIFOROV Belgium M 31 22 -100 189 99.5
21 Leonardo GONCALVES Brazil M 28 12 -100 190 99.7
22 Shady ELNAHAS Canada M 26 3 -100 192 99.2
23 Thomas BRICENO Chile M 30 46 -100 186 99.6
24 Zlatko KUMRIC Croatia M 30 24 -100 192 99.5
25 Aurelien DIESSE France M 26 50 -100 190 97.8
26 Ilia SULAMANIDZE Georgia M 23 2 -100 187 99.9
27 Zsombor VEG Hungary M 22 25 -100 190 99.8
28 Peter PALTCHIK Israel M 32 11 -100 190 99.6
29 Gennaro PIRELLI Italy M 23 17 -100 180 99.9
30 Aaron WOLF Japan M 28 13 -100 181 99.9
31 Nurlykhan SHARKHAN Kazakhstan M 24 23 -100 175 99.8
32 Gonchigsuren BATKHUYAG Mongolia M 24 10 -100 188 99.7
33 Michael KORREL Netherlands M 30 7 -100 184 99.4
34 Jorge FONSECA Portugal M 31 9 -100 174 99.8
35 Aleksandar KUKOLJ Serbia M 32 16 -100 186 99.7
36 Nikoloz SHERAZADISHVIL Spain M 28 8 -100 190 99.5
37 Dzhafar KOSTOEV United Arab M 25 18 -100 187 99.6
38 Muzaffarbek TUROBOYEV Uzbekistan M 24 4 -100 202 99.8
39 Rafael MACEDO Brazil M 29 11 -90 180 89.6
40 Ivaylo IVANOV Bulgaria M 29 13 -90 180 89.6
41 Ivan Felipe SILVA MORA Cuba M 28 10 -90 180 89.6
42 David KLAMMERT Czechia M 30 22 -90 180 89.7
43 Robert FLORENTINO Dominican R M 27 30 -90 182 90
44 Maxime-Gael NGAYAP HAM France M 23 38 -90 189 89.5
45 Lasha BEKAURI Georgia M 23 1 -90 190 89.8
46 Eduard TRIPPEL Germany M 27 29 -90 187 89.7
47 Theodoros TSELIDIS Greece M 27 15 -90 181 89.3
48 Krisztian TOTH Hungary M 30 5 -90 175 90
49 Christian PARLATI Italy M 26 9 -90 179 89.5
50 Sanshiro MURAO Japan M 23 3 -90 180 89.7
51 Erlan SHEROV Kyrgyzstan M 26 4 -90 185 89.5
52 Caramnob SAGAIPOV Lebanon M 27 31 -90 184 89.8
53 Remi FEUILLET Mauritius M 31 49 -90 181 89.8
54 Noel VAN T END Netherlands M 33 19 -90 185 89.9
55 Juyeop HAN Republic of M 25 24 -90 182 89.9
56 Nemanja MAJDOV Serbia M 27 2 -90 178 89.6
57 Tristani MOSAKHLISHVIL Spain M 26 14 -90 182 89.1
58 Marcus NYMAN Sweden M 33 27 -90 189 89.9
59 Komronshokh USTOPIRIYO Tajikistan M 31 20 -90 190 90
60 Mihael ZGANK Turkiye M 30 8 -90 182 89.6
61 Aram GRIGORIAN United Arab M 26 34 -90 170 89.8
62 John JAYNE United Stat M 27 32 -90 188 89.8
63 Davlat BOBONOV Uzbekistan M 27 7 -90 182 89.5
64 Wachid BORCHASHVILI Austria M 25 19 -81 175 80.7
65 Askerbii GERBEKOV Bahrain M 28 25 -81 178 80.6
66 Matthias CASSE Belgium M 27 1 -81 178 80.4
67 Guilherme SCHIMIDT Brazil M 23 4 -81 182 80.8
68 Francois GAUTHIER DRAP Canada M 26 5 -81 182 80.6
69 Abdelrahman ABDELGHANY Egypt M 25 40 -81 170 80.8
70 Alpha Oumar DJALO France M 27 26 -81 170 80.9
71 Tato GRIGALASHVILI Georgia M 24 2 -81 180 80.7
72 Timo CAVELIUS Germany M 27 21 -81 176 80.6
73 Attila UNGVARI Hungary M 35 20 -81 184 80.7
74 Sajjad SEHEN Iraq M 28 248 -81 185 .
75 Sagi MUKI Israel M 32 18 -81 180 80.5
76 Antonio ESPOSITO Italy M 29 13 -81 173 80.8
77 Takanori NAGASE Japan M 30 8 -81 181 80.7
78 Abylaikhan ZHUBANAZAR Kazakhstan M 24 10 -81 175 80.8
79 Achraf MOUTII Morocco M 27 29 -81 180 80.7
80 Frank DE WIT Netherlands M 28 16 -81 184 80.7
81 Edi SHERIFOVSKI North Maced M 22 309 -81 181 80.8
82 Fares BADAWI Palestine M 27 342 -81 178 80.3
83 Joao FERNANDO Portugal M 24 24 -81 179 80.8
84 Joonhwan LEE Republic of M 22 3 -81 176 80.6
85 Somon MAKHMADBEKOV Tajikistan M 25 7 -81 178 80.8
86 Vedat ALBAYRAK Turkiye M 31 11 -81 178 80.8
87 Nugzari TATALASHVILI United Arab M 34 17 -81 176 80.9
88 Hugo CUMBO Vanuatu M 28 258 -81 185 80.8
89 Larisa CERIC Bosnia and W 33 26 78 176 99.7
90 Beatriz SOUZA Brazil W 26 5 78 176 135.2
91 Ana Laura PORTUONDO IS Canada W 28 56 78 171 92.1
92 Idalys ORTIZ Cuba W 34 19 78 180 138.3
93 Romane DICKO France W 24 1 78 180 121.7
94 Renee LUCHT Germany W 25 24 78 172 99.1
95 Tulika MAAN India W 25 36 78 182 119.4
96 Asya TAVANO Italy W 22 9 78 165 116.6
97 Akira SONE Japan W 24 18 78 162 109.3
98 Kamila BERLIKASH Kazakhstan W 24 15 78 160 137.3
99 Adiyasuren AMARSAIKHAN Mongolia W 24 23 78 177 99.9
100 Marit KAMPS Netherlands W 23 16 78 175 102.5
101 Shiyan XU People's Re W 27 6 78 183 133.3
102 Rochele NUNES Portugal W 35 13 78 170 114.9
103 Hayun KIM Republic of W 24 4 78 178 112.1
104 Milica ZABIC Serbia W 30 14 78 180 97.4
105 Kayra OZDEMIR Turkiye W 36 3 78 178 115
106 Mayra AGUIAR Brazil W 32 12 -78 178 77.1
107 Madeleine MALONGA France W 30 6 -78 182 77.8
108 Anna-Maria WAGNER Germany W 28 2 -78 183 77.6
109 Emma REID Great Brita W 29 14 -78 177 77.2
110 Inbar LANIR Israel W 24 3 -78 176 77.7
111 Alice BELLANDI Italy W 25 1 -78 175 77.9
112 Rika TAKAYAMA Japan W 29 9 -78 169 77.7
113 Loriana KUKA Kosovo W 27 29 -78 177 77
114 Khuslen OTGONBAYAR Mongolia W 19 28 -78 175 77.8
115 Guusje STEENHUIS Netherlands W 31 8 -78 178 77.8
116 Moira DE VILLIERS New Zealand W 34 30 -78 168 77.4
117 Zhenzhao MA People's Re W 26 5 -78 186 77.9
118 Patricia SAMPAIO Portugal W 25 13 -78 176 77.7
119 Hyunji YOON Republic of W 30 18 -78 175 77.5
120 Metka LOBNIK Slovenia W 23 19 -78 168 77.3
121 Iriskhon KURBANBAEVA Uzbekistan W 22 23 -78 170 77.6
122 Messaoud Redouane DRIS Algeria M 22 14 -73 175 73.4
123 Samuel GASSNER Austria M 23 77 -73 170 72.8
124 Hidayat HEYDAROV Azerbaijan M 26 1 -73 165 72.9
125 Daniel CARGNIN Brazil M 26 6 -73 168 72.8
126 Arthur MARGELIDON Canada M 30 9 -73 181 72.7
127 Joan-Benjamin GABA France M 23 35 -73 170 72.8
128 Lasha SHAVDATUASHVILI Georgia M 32 8 -73 170 72.7
129 Igor WANDTKE Germany M 33 25 -73 177 72.8
130 Tohar BUTBUL Israel M 30 22 -73 176 72.8
131 Manuel LOMBARDO Italy M 25 4 -73 161 72.7
132 Soichi HASHIMOTO Japan M 32 2 -73 170 72.7
133 Daniyar SHAMSHAYEV Kazakhstan M 22 19 -73 175 72.9
134 Akil GJAKOVA Kosovo M 28 17 -73 174 72.9
135 Erdenebayar BATZAYA Mongolia M 24 26 -73 177 72.6
136 William TAI TIN Samoa M 39 187 -73 180 72.6
137 Hasan BAYAN Syrian Arab M 22 281 -73 176 72.9
138 Behruzi KHOJAZODA Tajikistan M 29 11 -73 176 72.7
139 Masayuki TERADA Thailand M 28 62 -73 183 72.9
140 Murodjon YULDOSHEV Uzbekistan M 28 7 -73 175 72.8
141 Aoife COUGHLAN Australia W 28 12 -70 164 69.6
142 Michaela POLLERES Austria W 27 3 -70 170 69.7
143 Gabriella WILLEMS Belgium W 27 21 -70 181 69.4
144 Aleksandra SAMARDZIC Bosnia and W 26 34 -70 180 69.7
145 Barbara MATIC Croatia W 29 1 -70 170 69.8
146 Song Hui MUN Dem. Peop. W 22 37 -70 170 69.4
147 Marie Eve GAHIE France W 27 7 -70 176 69.4
148 Miriam BUTKEREIT Germany W 30 8 -70 179 69.7
149 Katie-Jemima YEATS-BRO Great Brita W 29 16 -70 166 69.9
150 Elisavet TELTSIDOU Greece W 28 2 -70 170 69.8
151 Szabina GERCSAK Hungary W 28 22 -70 178 67.5
152 Kim POLLING Italy W 33 15 -70 175 69.4
153 Saki NIIZOE Japan W 28 6 -70 170 69.6
154 Sanne VAN DIJKE Netherlands W 28 5 -70 174 70
155 Tais PINA Portugal W 19 24 -70 173 69.8
156 Maria PEREZ Puerto Rico W 35 14 -70 167 69.5
157 Anka POGACNIK Slovenia W 32 18 -70 170 69.5
158 Ai TSUNODA ROUSTANT Spain W 22 10 -70 163 69.6
159 Fidan OGEL Turkiye W 22 28 -70 162 69.9
160 Gulnoza MATNIYAZOVA Uzbekistan W 29 17 -70 166 69.9
161 Edmilson PEDRO Angola M 27 58 -66 170 65.9
162 Willian LIMA Brazil M 24 8 -66 165 65.9
163 Luukas SAHA Finland M 26 23 -66 167 65.7
164 Walide KHYAR France M 29 16 -66 171 65.8
165 Vazha MARGVELASHVILI Georgia M 30 2 -66 167 65.9
166 Baruch SHMAILOV Israel M 29 24 -66 170 65.9
167 Matteo PIRAS Italy M 30 10 -66 170 65.9
168 Hifumi ABE Japan M 26 6 -66 167 65.8
169 Gusman KYRGYZBAYEV Kazakhstan M 31 26 -66 165 65.8
170 Kubanychbek AIBEK UULU Kyrgyzstan M 23 33 -66 165 65.9
171 Baskhuu YONDONPERENLEI Mongolia M 30 5 -66 175 65.9
172 Abderrahmane BOUSHITA Morocco M 26 28 -66 175 65.8
173 Juan POSTIGOS Peru M 35 47 -66 160 65.6
174 Baul AN Republic of M 30 13 -66 168 65.7
175 Denis VIERU Republic of M 28 1 -66 173 65.9
176 Strahinja BUNCIC Serbia M 28 30 -66 180 65.8
177 Muhammed DEMIREL Turkiye M 21 31 -66 177 65.9
178 Bogdan IADOV Ukraine M 27 15 -66 170 65.9
179 Narmandakh BAYANMUNKH United Arab M 24 14 -66 174 66
180 Sardor NURILLAEV Uzbekistan M 29 12 -66 176 65.7
181 Amina BELKADI Algeria W 31 20 -63 170 62.7
182 Katharina HAECKER Australia W 31 5 -63 168 62.8
183 Lubjana PIOVESANA Austria W 27 10 -63 165 62.6
184 Ketleyn QUADROS Brazil W 36 25 -63 165 62.8
185 Catherine BEAUCHEMIN-P Canada W 30 2 -63 161 62.7
186 Katarina KRISTO Croatia W 22 12 -63 163 62.7
187 Maylin DEL TORO CARVAJ Cuba W 29 21 -63 170 62.6
188 Renata ZACHOVA Czechia W 24 17 -63 166 62.5
189 Clarisse AGBEGNENOU France W 31 6 -63 164 62.6
190 Szofi OZBAS Hungary W 22 13 -63 163 62.9
191 Savita RUSSO Italy W 19 39 -63 163 62.3
192 Miku TAKAICHI Japan W 30 8 -63 163 62.8
193 Esmigul KUYULOVA Kazakhstan W 22 37 -63 170 62.6
194 Laura FAZLIU Kosovo W 23 3 -63 173 62.7
195 Joanne VAN LIESHOUT Netherlands W 21 1 -63 170 62.7
196 Jing TANG People's Re W 29 22 -63 175 62.7
197 Barbara TIMO Portugal W 33 15 -63 168 62.9
198 Jisu KIM Republic of W 23 16 -63 161 62.9
199 Cristina CABANA PEREZ Spain W 31 26 -63 165 62.3
200 Anriquelis BARRIOS Venezuela W 30 31 -63 174 61.7
201 Joshua KATZ Australia M 26 37 -60 165 59.8
202 Jorre VERSTRAETEN Belgium M 26 19 -60 163 59.8
203 Michel AUGUSTO Brazil M 19 25 -60 162 59.8
204 Yung Wei YANG Chinese Tai M 26 1 -60 168 59.7
205 Youssry SAMY Egypt M 21 28 -60 168 59.8
206 Luka MKHEIDZE France M 28 3 -60 160 59.8
207 Andrea CARLINO Italy M 27 32 -60 160 59.8
208 Ashley MCKENZIE Jamaica M 35 57 -60 165 59.8
209 Ryuju NAGAYAMA Japan M 28 6 -60 156 59.7
210 Yeldos SMETOV Kazakhstan M 31 22 -60 167 60
211 Ariunbold ENKHTAIVAN Mongolia M 28 13 -60 165 59.8
212 Tornike TSJAKADOEA Netherlands M 27 21 -60 164 59.9
213 Won Jin KIM Republic of M 32 23 -60 168 59.9
214 Francisco GARRIGOS Spain M 29 5 -60 159 59.9
215 Salih YILDIZ Turkiye M 23 10 -60 170 59.8
216 Doston RUZIEV Uzbekistan M 28 18 -60 172 59.8
217 Simon ZULU Zambia M 22 50 -60 170 59.8
218 Rafaela SILVA Brazil W 32 4 -57 169 56.9
219 Christa DEGUCHI Canada W 28 1 -57 161 56.7
220 Chen-Ling LIEN Chinese Tai W 36 21 -57 168 56.8
221 Sarah Leonie CYSIQUE France W 26 5 -57 163 56.7
222 Pauline STARKE Germany W 26 15 -57 185 56.6
223 Lele NAIRNE Great Brita W 26 28 -57 153 56.7
224 Mariana ESTEVES Guinea W 28 25 -57 164 56.7
225 Veronica TONIOLO Italy W 21 12 -57 165 56.8
226 Haruka FUNAKUBO Japan W 25 6 -57 162 56.8
227 Nora GJAKOVA Kosovo W 31 8 -57 165 56.9
228 Enkhriilen LKHAGVATOGO Mongolia W 25 13 -57 168 56.8
229 Manita SHRESTHA PRADHA Nepal W 25 111 -57 160 56.8
230 Julie BEURSKENS Netherlands W 20 31 -57 163 56.8
231 Kristine JIMENEZ Panama W 28 46 -57 158 56.8
232 Qi CAI People's Re W 29 22 -57 162 56.7
233 Mimi HUH Republic of W 21 3 -57 159 56.9
234 Marica PERISIC Serbia W 24 9 -57 162 56.8
235 Daria BILODID Ukraine W 23 14 -57 172 56.6
236 Shukurjon AMINOVA Uzbekistan W 21 23 -57 166 56.6
237 Larissa PIMENTA Brazil W 25 10 -52 157 51.8
238 Kelly DEGUCHI Canada W 25 34 -52 164 51.7
239 Amandine BUCHARD France W 29 4 -52 160 51.9
240 Maryam March MAHARANI Indonesia W 24 52 -52 156 51.3
241 Odette GIUFFRIDA Italy W 29 3 -52 160 51.9
242 Uta ABE Japan W 24 9 -52 158 51.9
243 Distria KRASNIQI Kosovo W 28 2 -52 155 51.7
244 Sosorbaram LKHAGVASURE Mongolia W 23 13 -52 160 51.8
245 Soumiya IRAOUI Morocco W 28 15 -52 160 51.9
246 Jacira FERREIRA Mozambique W 26 72 -52 170 51.9
247 Yeqing ZHU People's Re W 26 14 -52 158 51.6
248 Yerin JUNG Republic of W 28 21 -52 171 52
249 Khorloodoi BISHRELT United Arab W 26 11 -52 177 51.9
250 Angelica DELGADO United Stat W 33 19 -52 157 52
251 Diyora KELDIYOROVA Uzbekistan W 26 1 -52 158 51.7
252 Katharina TANZER Austria W 28 40 -48 154 47.8
253 Leyla ALIYEVA Azerbaijan W 26 22 -48 164 47.8
254 Natasha FERREIRA Brazil W 25 26 -48 152 48
255 Mary Dee VARGAS LEY Chile W 27 21 -48 154 47.9
256 Chen-Hao LIN Chinese Tai W 26 35 -48 155 47.6
257 Shirine BOUKLI France W 25 5 -48 156 48
258 Katharina MENZ Germany W 33 25 -48 153 47.9
259 Ka Lee WONG Hong Kong, W 26 57 -48 162 47.9
260 Shira RISHONY Israel W 33 24 -48 150 48
261 Assunta SCUTTO Italy W 22 1 -48 160 47.8
262 Natsumi TSUNODA Japan W 31 4 -48 161 47.5
263 Abiba ABUZHAKYNOVA Kazakhstan W 27 3 -48 158 47.9
264 Katryna ESPOSITO Malta W 23 55 -48 162 47.7
265 Baasankhuu BAVUUDORJ Mongolia W 24 2 -48 153 48
266 Zongying GUO People's Re W 25 20 -48 160 47.7
267 Catarina COSTA Portugal W 27 7 -48 154 47.8
268 Hyekyeong LEE Republic of W 28 10 -48 155 47.9
269 Marusa STANGAR Slovenia W 26 19 -48 159 47.8
270 Geronay WHITEBOOI South Afric W 28 39 -48 152 47.7
271 Tara BABULFATH Sweden W 18 18 -48 154 47.7
272 Oumaima BEDIOUI Tunisia W 26 38 -48 155 47.7
273 Tugce BEDER Turkiye W 24 12 -48 157 47.8
274 Khalimajon KURBONOVA Uzbekistan W 22 27 -48 157 47.7
275 Thi Tinh HOANG Vietnam W 30 86 -48 150 47.6

1.3.6.2 Mean heights per category
................................

Obs category1 nation mean_height
----------------------------------------------
1 100 France 204
2 100 Brazil 203
3 100 Czechia 198
4 100 Tajikistan 198
5 100 Cuba 197
6 100 Mongolia 196
7 100 Azerbaijan 195
8 100 Turkiye 195
9 100 Netherlands 194
10 100 Georgia 193
11 100 Germany 191
12 100 Japan 191
13 100 Slovenia 190
14 100 Uzbekistan 190
15 100 Monaco 187
16 100 Republic of 184
17 100 United Arab 178
18 -100 Uzbekistan 202
19 -100 Austria 193
20 -100 Azerbaijan 192
21 -100 Canada 192
22 -100 Croatia 192
23 -100 Brazil 190
24 -100 France 190
25 -100 Hungary 190
26 -100 Israel 190
27 -100 Spain 190
28 -100 Belgium 189
29 -100 Mongolia 188
30 -100 Georgia 187
31 -100 United Arab 187
32 -100 Chile 186
33 -100 Serbia 186
34 -100 Netherlands 184
35 -100 Japan 181
36 -100 Italy 180
37 -100 Kazakhstan 175
38 -100 Portugal 174
39 -90 Georgia 190
40 -90 Tajikistan 190
41 -90 France 189
42 -90 Sweden 189
43 -90 United Stat 188
44 -90 Germany 187
45 -90 Kyrgyzstan 185
46 -90 Netherlands 185
47 -90 Lebanon 184
48 -90 Dominican R 182
49 -90 Republic of 182
50 -90 Spain 182
51 -90 Turkiye 182
52 -90 Uzbekistan 182
53 -90 Greece 181
54 -90 Mauritius 181
55 -90 Brazil 180
56 -90 Bulgaria 180
57 -90 Cuba 180
58 -90 Czechia 180
59 -90 Japan 180
60 -90 Italy 179
61 -90 Serbia 178
62 -90 Hungary 175
63 -90 United Arab 170
64 -81 Iraq 185
65 -81 Vanuatu 185
66 -81 Hungary 184
67 -81 Netherlands 184
68 -81 Brazil 182
69 -81 Canada 182
70 -81 Japan 181
71 -81 North Maced 181
72 -81 Georgia 180
73 -81 Israel 180
74 -81 Morocco 180
75 -81 Portugal 179
76 -81 Bahrain 178
77 -81 Belgium 178
78 -81 Palestine 178
79 -81 Tajikistan 178
80 -81 Turkiye 178
81 -81 Germany 176
82 -81 Republic of 176
83 -81 United Arab 176
84 -81 Austria 175
85 -81 Kazakhstan 175
86 -81 Italy 173
87 -81 Egypt 170
88 -81 France 170
89 78 People's Re 183
90 78 India 182
91 78 Cuba 180
92 78 France 180
93 78 Serbia 180
94 78 Republic of 178
95 78 Turkiye 178
96 78 Mongolia 177
97 78 Bosnia and 176
98 78 Brazil 176
99 78 Netherlands 175
100 78 Germany 172
101 78 Canada 171
102 78 Portugal 170
103 78 Italy 165
104 78 Japan 162
105 78 Kazakhstan 160
106 -78 People's Re 186
107 -78 Germany 183
108 -78 France 182
109 -78 Brazil 178
110 -78 Netherlands 178
111 -78 Great Brita 177
112 -78 Kosovo 177
113 -78 Israel 176
114 -78 Portugal 176
115 -78 Italy 175
116 -78 Mongolia 175
117 -78 Republic of 175
118 -78 Uzbekistan 170
119 -78 Japan 169
120 -78 New Zealand 168
121 -78 Slovenia 168
122 -73 Thailand 183
123 -73 Canada 181
124 -73 Samoa 180
125 -73 Germany 177
126 -73 Mongolia 177
127 -73 Israel 176
128 -73 Syrian Arab 176
129 -73 Tajikistan 176
130 -73 Algeria 175
131 -73 Kazakhstan 175
132 -73 Uzbekistan 175
133 -73 Kosovo 174
134 -73 Austria 170
135 -73 France 170
136 -73 Georgia 170
137 -73 Japan 170
138 -73 Brazil 168
139 -73 Azerbaijan 165
140 -73 Italy 161
141 -70 Belgium 181
142 -70 Bosnia and 180
143 -70 Germany 179
144 -70 Hungary 178
145 -70 France 176
146 -70 Italy 175
147 -70 Netherlands 174
148 -70 Portugal 173
149 -70 Austria 170
150 -70 Croatia 170
151 -70 Dem. Peop. 170
152 -70 Greece 170
153 -70 Japan 170
154 -70 Slovenia 170
155 -70 Puerto Rico 167
156 -70 Great Brita 166
157 -70 Uzbekistan 166
158 -70 Australia 164
159 -70 Spain 163
160 -70 Turkiye 162
161 -66 Serbia 180
162 -66 Turkiye 177
163 -66 Uzbekistan 176
164 -66 Mongolia 175
165 -66 Morocco 175
166 -66 United Arab 174
167 -66 France 171
168 -66 Republic of 170.5
169 -66 Angola 170
170 -66 Israel 170
171 -66 Italy 170
172 -66 Ukraine 170
173 -66 Finland 167
174 -66 Georgia 167
175 -66 Japan 167
176 -66 Brazil 165
177 -66 Kazakhstan 165
178 -66 Kyrgyzstan 165
179 -66 Peru 160
180 -63 People's Re 175
181 -63 Venezuela 174
182 -63 Kosovo 173
183 -63 Algeria 170
184 -63 Cuba 170
185 -63 Kazakhstan 170
186 -63 Netherlands 170
187 -63 Australia 168
188 -63 Portugal 168
189 -63 Czechia 166
190 -63 Austria 165
191 -63 Brazil 165
192 -63 Spain 165
193 -63 France 164
194 -63 Croatia 163
195 -63 Hungary 163
196 -63 Italy 163
197 -63 Japan 163
198 -63 Canada 161
199 -63 Republic of 161
200 -60 Uzbekistan 172
201 -60 Turkiye 170
202 -60 Zambia 170
203 -60 Chinese Tai 168
204 -60 Egypt 168
205 -60 Republic of 168
206 -60 Kazakhstan 167
207 -60 Australia 165
208 -60 Jamaica 165
209 -60 Mongolia 165
210 -60 Netherlands 164
211 -60 Belgium 163
212 -60 Brazil 162
213 -60 France 160
214 -60 Italy 160
215 -60 Spain 159
216 -60 Japan 156
217 -57 Germany 185
218 -57 Ukraine 172
219 -57 Brazil 169
220 -57 Chinese Tai 168
221 -57 Mongolia 168
222 -57 Uzbekistan 166
223 -57 Italy 165
224 -57 Kosovo 165
225 -57 Guinea 164
226 -57 France 163
227 -57 Netherlands 163
228 -57 Japan 162
229 -57 People's Re 162
230 -57 Serbia 162
231 -57 Canada 161
232 -57 Nepal 160
233 -57 Republic of 159
234 -57 Panama 158
235 -57 Great Brita 153
236 -52 United Arab 177
237 -52 Republic of 171
238 -52 Mozambique 170
239 -52 Canada 164
240 -52 France 160
241 -52 Italy 160
242 -52 Mongolia 160
243 -52 Morocco 160
244 -52 Japan 158
245 -52 People's Re 158
246 -52 Uzbekistan 158
247 -52 Brazil 157
248 -52 United Stat 157
249 -52 Indonesia 156
250 -52 Kosovo 155
251 -48 Azerbaijan 164
252 -48 Hong Kong, 162
253 -48 Malta 162
254 -48 Japan 161
255 -48 Italy 160
256 -48 People's Re 160
257 -48 Slovenia 159
258 -48 Kazakhstan 158
259 -48 Turkiye 157
260 -48 Uzbekistan 157
261 -48 France 156
262 -48 Chinese Tai 155
263 -48 Republic of 155
264 -48 Tunisia 155
265 -48 Austria 154
266 -48 Chile 154
267 -48 Portugal 154
268 -48 Sweden 154
269 -48 Germany 153
270 -48 Mongolia 153
271 -48 Brazil 152
272 -48 South Afric 152
273 -48 Israel 150
274 -48 Vietnam 150

1.3.7 References
----------------

• brazofuerte. 2022. “Average Height of Competitors for Each Weight
Category in Judo?” (5).
• Franchini, Emerson, Katarzyna Sterkowicz-Przybycień, and Monica
Takito. 2014. “Anthropometrical Profile of Judo Athletes:
Comparative Analysis Between Weight Categories.” _International
Journal of Morphology_ 32 (March): 36-42. (6).
• IJF. 2024a. “All Seniors / WRL (World Ranking List) / IJF.org.”
(7).
• ------. 2024b. “Judoka - Olympic Games Paris 2024 - JudoTV.” (8).
• SAS: Data and AI Solutions. 2014. (9).
• Courrier International, “La “parade” d'un judoka algérien pour
boycotter un concurrent israélien : arriver en surpoids.” 2024.
(10).
• Paris 2024 Olympic Organizing Committee. 2023. “Official Reports
Judo.”

---------- Footnotes ----------

(1) The resulting PDF file (ideal for those wanting to read the
analysis) (files/Judo-height.pdf)

(2) Dataset CSV: useful for adding improvements and checking the
source for the height used
(https://github.com/Judo-Documentation-Project/judo-height/blob/main/judoka_data.csv)

(3) IJF: 500 to go to Paris 2024!
(https://www.ijf.org/news/show/500-to-go-to-paris-2024)

(4) The -73 kg category shows a maximum weight of 73.4 kg, which is
oddly above the limit: this is correct and rwould be reflected in the
disqualification of Algerian judoka Messaoud Redouane Dris (*note
Courrier International::, 2024)

(5) <https://martialarts.stackexchange.com/q/13307>

(6) <https://doi.org/10.4067/S0717-95022014000100007>

(7) <https://www.ijf.org/wrl?category=all>

(8) <https://judotv.com/competitions/oly_2024/judoka>

(9) <https://www.sas.com/en_us/home.html>

(10)
<https://www.courrierinternational.com/article/la-parade-d-un-judoka-algerien-pour-boycotter-un-concurrent-israelien-arriver-en-surpoids_220760>