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) (6) (7) (8) (9) (10)