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 Documentation-as-Code, now at SAS with SASpy and knitr), 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.

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.

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.

Introduction

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

Some existing literature (see Franchini, Sterkowicz-Przybycień, and Takito 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.

Material and methods

Information on the Judo athletes was obtained from several sources, including the the JudoTV site (see 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 (see 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 (see SAS: Data and AI Solutions 2014) .

Analysis and results

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.

ordergender1category1N ObsVariableNMeanStd DevMinimumMaximum
1M10017height_cur
weight
17
17
193.2
135.1
6.5
19.4
178.0
113.5
204.0
172.8
2M-10021height_cur
weight
21
21
187.5
99.6
6.3
0.4
174.0
97.8
202.0
99.9
3M-9025height_cur
weight
25
25
182.4
89.7
4.8
0.2
170.0
89.1
190.0
90.0
4M-8125height_cur
weight
25
24
178.6
80.7
4.1
0.1
170.0
80.3
185.0
80.9
5W7817height_cur
weight
17
17
174.4
114.3
6.8
15.0
160.0
92.1
183.0
138.3
6W-7816height_cur
weight
16
16
175.8
77.6
5.2
0.3
168.0
77.0
186.0
77.9
7M-7319height_cur
weight
19
19
173.6
72.8
5.5
0.2
161.0
72.6
183.0
73.4
8W-7020height_cur
weight
20
20
171.2
69.6
5.7
0.5
162.0
67.5
181.0
70.0
9M-6620height_cur
weight
20
20
170.3
65.8
5.0
0.1
160.0
65.6
180.0
66.0
10W-6320height_cur
weight
20
20
166.9
62.6
4.3
0.3
161.0
61.7
175.0
62.9
11M-6017height_cur
weight
17
17
164.8
59.8
4.4
0.1
156.0
59.7
172.0
60.0
12W-5719height_cur
weight
19
19
164.5
56.8
6.6
0.1
153.0
56.6
185.0
56.9
13W-5215height_cur
weight
15
15
161.4
51.8
6.4
0.2
155.0
51.3
177.0
52.0
14W-4824height_cur
weight
24
24
156.1
47.8
3.9
0.1
150.0
47.5
164.0
48.0

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

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 Section 5.2 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

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 (see 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

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 1, 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

Conclusion

The results are consistent with previous analysis in terms of heavier weights corresponding with increased height, as expected (see Franchini, Sterkowicz-Przybycień, and Takito 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.

Appendix

Dataset

Obsnamenationgender1agewrl1_numcategory1height_curweight
1Ushangi KOKAURIAzerbaijanM3217100195142.8
2Rafael SILVABrazilM3714100203172.8
3Andy GRANDACubaM325100197120.1
4Lukas KRPALEKCzechiaM3311100198113.5
5Teddy RINERFranceM357100204141.5
6Guram TUSHISHVILIGeorgiaM294100193117.4
7Erik ABRAMOVGermanyM2518100191118.4
8Tatsuru SAITOJapanM226100191172
9Marvin GADEAUMonacoM23112100187154
10Tsetsentsengel ODKHUUMongoliaM2419100196122.4
11Jelle SNIPPENetherlandsM2513100194113.7
12Minjong KIMRepublic ofM231100184133.8
13Enej MARINICSloveniaM2531100190136.1
14Temur RAKHIMOVTajikistanM273100198122.5
15Ibrahim TATAROGLUTurkiyeM1823100195160
16Magomedomar MAGOMEDOMAUnited ArabM2315100178130.3
17Alisher YUSUPOVUzbekistanM259100190125.6
18Aaron FARAAustriaM2721-10019399.3
19Zelym KOTSOIEVAzerbaijanM251-10019299.7
20Toma NIKIFOROVBelgiumM3122-10018999.5
21Leonardo GONCALVESBrazilM2812-10019099.7
22Shady ELNAHASCanadaM263-10019299.2
23Thomas BRICENOChileM3046-10018699.6
24Zlatko KUMRICCroatiaM3024-10019299.5
25Aurelien DIESSEFranceM2650-10019097.8
26Ilia SULAMANIDZEGeorgiaM232-10018799.9
27Zsombor VEGHungaryM2225-10019099.8
28Peter PALTCHIKIsraelM3211-10019099.6
29Gennaro PIRELLIItalyM2317-10018099.9
30Aaron WOLFJapanM2813-10018199.9
31Nurlykhan SHARKHANKazakhstanM2423-10017599.8
32Gonchigsuren BATKHUYAGMongoliaM2410-10018899.7
33Michael KORRELNetherlandsM307-10018499.4
34Jorge FONSECAPortugalM319-10017499.8
35Aleksandar KUKOLJSerbiaM3216-10018699.7
36Nikoloz SHERAZADISHVILSpainM288-10019099.5
37Dzhafar KOSTOEVUnited ArabM2518-10018799.6
38Muzaffarbek TUROBOYEVUzbekistanM244-10020299.8
39Rafael MACEDOBrazilM2911-9018089.6
40Ivaylo IVANOVBulgariaM2913-9018089.6
41Ivan Felipe SILVA MORACubaM2810-9018089.6
42David KLAMMERTCzechiaM3022-9018089.7
43Robert FLORENTINODominican RM2730-9018290
44Maxime-Gael NGAYAP HAMFranceM2338-9018989.5
45Lasha BEKAURIGeorgiaM231-9019089.8
46Eduard TRIPPELGermanyM2729-9018789.7
47Theodoros TSELIDISGreeceM2715-9018189.3
48Krisztian TOTHHungaryM305-9017590
49Christian PARLATIItalyM269-9017989.5
50Sanshiro MURAOJapanM233-9018089.7
51Erlan SHEROVKyrgyzstanM264-9018589.5
52Caramnob SAGAIPOVLebanonM2731-9018489.8
53Remi FEUILLETMauritiusM3149-9018189.8
54Noel VAN T ENDNetherlandsM3319-9018589.9
55Juyeop HANRepublic ofM2524-9018289.9
56Nemanja MAJDOVSerbiaM272-9017889.6
57Tristani MOSAKHLISHVILSpainM2614-9018289.1
58Marcus NYMANSwedenM3327-9018989.9
59Komronshokh USTOPIRIYOTajikistanM3120-9019090
60Mihael ZGANKTurkiyeM308-9018289.6
61Aram GRIGORIANUnited ArabM2634-9017089.8
62John JAYNEUnited StatM2732-9018889.8
63Davlat BOBONOVUzbekistanM277-9018289.5
64Wachid BORCHASHVILIAustriaM2519-8117580.7
65Askerbii GERBEKOVBahrainM2825-8117880.6
66Matthias CASSEBelgiumM271-8117880.4
67Guilherme SCHIMIDTBrazilM234-8118280.8
68Francois GAUTHIER DRAPCanadaM265-8118280.6
69Abdelrahman ABDELGHANYEgyptM2540-8117080.8
70Alpha Oumar DJALOFranceM2726-8117080.9
71Tato GRIGALASHVILIGeorgiaM242-8118080.7
72Timo CAVELIUSGermanyM2721-8117680.6
73Attila UNGVARIHungaryM3520-8118480.7
74Sajjad SEHENIraqM28248-81185.
75Sagi MUKIIsraelM3218-8118080.5
76Antonio ESPOSITOItalyM2913-8117380.8
77Takanori NAGASEJapanM308-8118180.7
78Abylaikhan ZHUBANAZARKazakhstanM2410-8117580.8
79Achraf MOUTIIMoroccoM2729-8118080.7
80Frank DE WITNetherlandsM2816-8118480.7
81Edi SHERIFOVSKINorth MacedM22309-8118180.8
82Fares BADAWIPalestineM27342-8117880.3
83Joao FERNANDOPortugalM2424-8117980.8
84Joonhwan LEERepublic ofM223-8117680.6
85Somon MAKHMADBEKOVTajikistanM257-8117880.8
86Vedat ALBAYRAKTurkiyeM3111-8117880.8
87Nugzari TATALASHVILIUnited ArabM3417-8117680.9
88Hugo CUMBOVanuatuM28258-8118580.8
89Larisa CERICBosnia andW33267817699.7
90Beatriz SOUZABrazilW26578176135.2
91Ana Laura PORTUONDO ISCanadaW28567817192.1
92Idalys ORTIZCubaW341978180138.3
93Romane DICKOFranceW24178180121.7
94Renee LUCHTGermanyW25247817299.1
95Tulika MAANIndiaW253678182119.4
96Asya TAVANOItalyW22978165116.6
97Akira SONEJapanW241878162109.3
98Kamila BERLIKASHKazakhstanW241578160137.3
99Adiyasuren AMARSAIKHANMongoliaW24237817799.9
100Marit KAMPSNetherlandsW231678175102.5
101Shiyan XUPeople’s ReW27678183133.3
102Rochele NUNESPortugalW351378170114.9
103Hayun KIMRepublic ofW24478178112.1
104Milica ZABICSerbiaW30147818097.4
105Kayra OZDEMIRTurkiyeW36378178115
106Mayra AGUIARBrazilW3212-7817877.1
107Madeleine MALONGAFranceW306-7818277.8
108Anna-Maria WAGNERGermanyW282-7818377.6
109Emma REIDGreat BritaW2914-7817777.2
110Inbar LANIRIsraelW243-7817677.7
111Alice BELLANDIItalyW251-7817577.9
112Rika TAKAYAMAJapanW299-7816977.7
113Loriana KUKAKosovoW2729-7817777
114Khuslen OTGONBAYARMongoliaW1928-7817577.8
115Guusje STEENHUISNetherlandsW318-7817877.8
116Moira DE VILLIERSNew ZealandW3430-7816877.4
117Zhenzhao MAPeople’s ReW265-7818677.9
118Patricia SAMPAIOPortugalW2513-7817677.7
119Hyunji YOONRepublic ofW3018-7817577.5
120Metka LOBNIKSloveniaW2319-7816877.3
121Iriskhon KURBANBAEVAUzbekistanW2223-7817077.6
122Messaoud Redouane DRISAlgeriaM2214-7317573.4
123Samuel GASSNERAustriaM2377-7317072.8
124Hidayat HEYDAROVAzerbaijanM261-7316572.9
125Daniel CARGNINBrazilM266-7316872.8
126Arthur MARGELIDONCanadaM309-7318172.7
127Joan-Benjamin GABAFranceM2335-7317072.8
128Lasha SHAVDATUASHVILIGeorgiaM328-7317072.7
129Igor WANDTKEGermanyM3325-7317772.8
130Tohar BUTBULIsraelM3022-7317672.8
131Manuel LOMBARDOItalyM254-7316172.7
132Soichi HASHIMOTOJapanM322-7317072.7
133Daniyar SHAMSHAYEVKazakhstanM2219-7317572.9
134Akil GJAKOVAKosovoM2817-7317472.9
135Erdenebayar BATZAYAMongoliaM2426-7317772.6
136William TAI TINSamoaM39187-7318072.6
137Hasan BAYANSyrian ArabM22281-7317672.9
138Behruzi KHOJAZODATajikistanM2911-7317672.7
139Masayuki TERADAThailandM2862-7318372.9
140Murodjon YULDOSHEVUzbekistanM287-7317572.8
141Aoife COUGHLANAustraliaW2812-7016469.6
142Michaela POLLERESAustriaW273-7017069.7
143Gabriella WILLEMSBelgiumW2721-7018169.4
144Aleksandra SAMARDZICBosnia andW2634-7018069.7
145Barbara MATICCroatiaW291-7017069.8
146Song Hui MUNDem. Peop.W2237-7017069.4
147Marie Eve GAHIEFranceW277-7017669.4
148Miriam BUTKEREITGermanyW308-7017969.7
149Katie-Jemima YEATS-BROGreat BritaW2916-7016669.9
150Elisavet TELTSIDOUGreeceW282-7017069.8
151Szabina GERCSAKHungaryW2822-7017867.5
152Kim POLLINGItalyW3315-7017569.4
153Saki NIIZOEJapanW286-7017069.6
154Sanne VAN DIJKENetherlandsW285-7017470
155Tais PINAPortugalW1924-7017369.8
156Maria PEREZPuerto RicoW3514-7016769.5
157Anka POGACNIKSloveniaW3218-7017069.5
158Ai TSUNODA ROUSTANTSpainW2210-7016369.6
159Fidan OGELTurkiyeW2228-7016269.9
160Gulnoza MATNIYAZOVAUzbekistanW2917-7016669.9
161Edmilson PEDROAngolaM2758-6617065.9
162Willian LIMABrazilM248-6616565.9
163Luukas SAHAFinlandM2623-6616765.7
164Walide KHYARFranceM2916-6617165.8
165Vazha MARGVELASHVILIGeorgiaM302-6616765.9
166Baruch SHMAILOVIsraelM2924-6617065.9
167Matteo PIRASItalyM3010-6617065.9
168Hifumi ABEJapanM266-6616765.8
169Gusman KYRGYZBAYEVKazakhstanM3126-6616565.8
170Kubanychbek AIBEK UULUKyrgyzstanM2333-6616565.9
171Baskhuu YONDONPERENLEIMongoliaM305-6617565.9
172Abderrahmane BOUSHITAMoroccoM2628-6617565.8
173Juan POSTIGOSPeruM3547-6616065.6
174Baul ANRepublic ofM3013-6616865.7
175Denis VIERURepublic ofM281-6617365.9
176Strahinja BUNCICSerbiaM2830-6618065.8
177Muhammed DEMIRELTurkiyeM2131-6617765.9
178Bogdan IADOVUkraineM2715-6617065.9
179Narmandakh BAYANMUNKHUnited ArabM2414-6617466
180Sardor NURILLAEVUzbekistanM2912-6617665.7
181Amina BELKADIAlgeriaW3120-6317062.7
182Katharina HAECKERAustraliaW315-6316862.8
183Lubjana PIOVESANAAustriaW2710-6316562.6
184Ketleyn QUADROSBrazilW3625-6316562.8
185Catherine BEAUCHEMIN-PCanadaW302-6316162.7
186Katarina KRISTOCroatiaW2212-6316362.7
187Maylin DEL TORO CARVAJCubaW2921-6317062.6
188Renata ZACHOVACzechiaW2417-6316662.5
189Clarisse AGBEGNENOUFranceW316-6316462.6
190Szofi OZBASHungaryW2213-6316362.9
191Savita RUSSOItalyW1939-6316362.3
192Miku TAKAICHIJapanW308-6316362.8
193Esmigul KUYULOVAKazakhstanW2237-6317062.6
194Laura FAZLIUKosovoW233-6317362.7
195Joanne VAN LIESHOUTNetherlandsW211-6317062.7
196Jing TANGPeople’s ReW2922-6317562.7
197Barbara TIMOPortugalW3315-6316862.9
198Jisu KIMRepublic ofW2316-6316162.9
199Cristina CABANA PEREZSpainW3126-6316562.3
200Anriquelis BARRIOSVenezuelaW3031-6317461.7
201Joshua KATZAustraliaM2637-6016559.8
202Jorre VERSTRAETENBelgiumM2619-6016359.8
203Michel AUGUSTOBrazilM1925-6016259.8
204Yung Wei YANGChinese TaiM261-6016859.7
205Youssry SAMYEgyptM2128-6016859.8
206Luka MKHEIDZEFranceM283-6016059.8
207Andrea CARLINOItalyM2732-6016059.8
208Ashley MCKENZIEJamaicaM3557-6016559.8
209Ryuju NAGAYAMAJapanM286-6015659.7
210Yeldos SMETOVKazakhstanM3122-6016760
211Ariunbold ENKHTAIVANMongoliaM2813-6016559.8
212Tornike TSJAKADOEANetherlandsM2721-6016459.9
213Won Jin KIMRepublic ofM3223-6016859.9
214Francisco GARRIGOSSpainM295-6015959.9
215Salih YILDIZTurkiyeM2310-6017059.8
216Doston RUZIEVUzbekistanM2818-6017259.8
217Simon ZULUZambiaM2250-6017059.8
218Rafaela SILVABrazilW324-5716956.9
219Christa DEGUCHICanadaW281-5716156.7
220Chen-Ling LIENChinese TaiW3621-5716856.8
221Sarah Leonie CYSIQUEFranceW265-5716356.7
222Pauline STARKEGermanyW2615-5718556.6
223Lele NAIRNEGreat BritaW2628-5715356.7
224Mariana ESTEVESGuineaW2825-5716456.7
225Veronica TONIOLOItalyW2112-5716556.8
226Haruka FUNAKUBOJapanW256-5716256.8
227Nora GJAKOVAKosovoW318-5716556.9
228Enkhriilen LKHAGVATOGOMongoliaW2513-5716856.8
229Manita SHRESTHA PRADHANepalW25111-5716056.8
230Julie BEURSKENSNetherlandsW2031-5716356.8
231Kristine JIMENEZPanamaW2846-5715856.8
232Qi CAIPeople’s ReW2922-5716256.7
233Mimi HUHRepublic ofW213-5715956.9
234Marica PERISICSerbiaW249-5716256.8
235Daria BILODIDUkraineW2314-5717256.6
236Shukurjon AMINOVAUzbekistanW2123-5716656.6
237Larissa PIMENTABrazilW2510-5215751.8
238Kelly DEGUCHICanadaW2534-5216451.7
239Amandine BUCHARDFranceW294-5216051.9
240Maryam March MAHARANIIndonesiaW2452-5215651.3
241Odette GIUFFRIDAItalyW293-5216051.9
242Uta ABEJapanW249-5215851.9
243Distria KRASNIQIKosovoW282-5215551.7
244Sosorbaram LKHAGVASUREMongoliaW2313-5216051.8
245Soumiya IRAOUIMoroccoW2815-5216051.9
246Jacira FERREIRAMozambiqueW2672-5217051.9
247Yeqing ZHUPeople’s ReW2614-5215851.6
248Yerin JUNGRepublic ofW2821-5217152
249Khorloodoi BISHRELTUnited ArabW2611-5217751.9
250Angelica DELGADOUnited StatW3319-5215752
251Diyora KELDIYOROVAUzbekistanW261-5215851.7
252Katharina TANZERAustriaW2840-4815447.8
253Leyla ALIYEVAAzerbaijanW2622-4816447.8
254Natasha FERREIRABrazilW2526-4815248
255Mary Dee VARGAS LEYChileW2721-4815447.9
256Chen-Hao LINChinese TaiW2635-4815547.6
257Shirine BOUKLIFranceW255-4815648
258Katharina MENZGermanyW3325-4815347.9
259Ka Lee WONGHong Kong,W2657-4816247.9
260Shira RISHONYIsraelW3324-4815048
261Assunta SCUTTOItalyW221-4816047.8
262Natsumi TSUNODAJapanW314-4816147.5
263Abiba ABUZHAKYNOVAKazakhstanW273-4815847.9
264Katryna ESPOSITOMaltaW2355-4816247.7
265Baasankhuu BAVUUDORJMongoliaW242-4815348
266Zongying GUOPeople’s ReW2520-4816047.7
267Catarina COSTAPortugalW277-4815447.8
268Hyekyeong LEERepublic ofW2810-4815547.9
269Marusa STANGARSloveniaW2619-4815947.8
270Geronay WHITEBOOISouth AfricW2839-4815247.7
271Tara BABULFATHSwedenW1818-4815447.7
272Oumaima BEDIOUITunisiaW2638-4815547.7
273Tugce BEDERTurkiyeW2412-4815747.8
274Khalimajon KURBONOVAUzbekistanW2227-4815747.7
275Thi Tinh HOANGVietnamW3086-4815047.6

Mean heights per category

Obscategory1nationmean_height
1100France204
2100Brazil203
3100Czechia198
4100Tajikistan198
5100Cuba197
6100Mongolia196
7100Azerbaijan195
8100Turkiye195
9100Netherlands194
10100Georgia193
11100Germany191
12100Japan191
13100Slovenia190
14100Uzbekistan190
15100Monaco187
16100Republic of184
17100United Arab178
18-100Uzbekistan202
19-100Austria193
20-100Azerbaijan192
21-100Canada192
22-100Croatia192
23-100Brazil190
24-100France190
25-100Hungary190
26-100Israel190
27-100Spain190
28-100Belgium189
29-100Mongolia188
30-100Georgia187
31-100United Arab187
32-100Chile186
33-100Serbia186
34-100Netherlands184
35-100Japan181
36-100Italy180
37-100Kazakhstan175
38-100Portugal174
39-90Georgia190
40-90Tajikistan190
41-90France189
42-90Sweden189
43-90United Stat188
44-90Germany187
45-90Kyrgyzstan185
46-90Netherlands185
47-90Lebanon184
48-90Dominican R182
49-90Republic of182
50-90Spain182
51-90Turkiye182
52-90Uzbekistan182
53-90Greece181
54-90Mauritius181
55-90Brazil180
56-90Bulgaria180
57-90Cuba180
58-90Czechia180
59-90Japan180
60-90Italy179
61-90Serbia178
62-90Hungary175
63-90United Arab170
64-81Iraq185
65-81Vanuatu185
66-81Hungary184
67-81Netherlands184
68-81Brazil182
69-81Canada182
70-81Japan181
71-81North Maced181
72-81Georgia180
73-81Israel180
74-81Morocco180
75-81Portugal179
76-81Bahrain178
77-81Belgium178
78-81Palestine178
79-81Tajikistan178
80-81Turkiye178
81-81Germany176
82-81Republic of176
83-81United Arab176
84-81Austria175
85-81Kazakhstan175
86-81Italy173
87-81Egypt170
88-81France170
8978People’s Re183
9078India182
9178Cuba180
9278France180
9378Serbia180
9478Republic of178
9578Turkiye178
9678Mongolia177
9778Bosnia and176
9878Brazil176
9978Netherlands175
10078Germany172
10178Canada171
10278Portugal170
10378Italy165
10478Japan162
10578Kazakhstan160
106-78People’s Re186
107-78Germany183
108-78France182
109-78Brazil178
110-78Netherlands178
111-78Great Brita177
112-78Kosovo177
113-78Israel176
114-78Portugal176
115-78Italy175
116-78Mongolia175
117-78Republic of175
118-78Uzbekistan170
119-78Japan169
120-78New Zealand168
121-78Slovenia168
122-73Thailand183
123-73Canada181
124-73Samoa180
125-73Germany177
126-73Mongolia177
127-73Israel176
128-73Syrian Arab176
129-73Tajikistan176
130-73Algeria175
131-73Kazakhstan175
132-73Uzbekistan175
133-73Kosovo174
134-73Austria170
135-73France170
136-73Georgia170
137-73Japan170
138-73Brazil168
139-73Azerbaijan165
140-73Italy161
141-70Belgium181
142-70Bosnia and180
143-70Germany179
144-70Hungary178
145-70France176
146-70Italy175
147-70Netherlands174
148-70Portugal173
149-70Austria170
150-70Croatia170
151-70Dem. Peop.170
152-70Greece170
153-70Japan170
154-70Slovenia170
155-70Puerto Rico167
156-70Great Brita166
157-70Uzbekistan166
158-70Australia164
159-70Spain163
160-70Turkiye162
161-66Serbia180
162-66Turkiye177
163-66Uzbekistan176
164-66Mongolia175
165-66Morocco175
166-66United Arab174
167-66France171
168-66Republic of170.5
169-66Angola170
170-66Israel170
171-66Italy170
172-66Ukraine170
173-66Finland167
174-66Georgia167
175-66Japan167
176-66Brazil165
177-66Kazakhstan165
178-66Kyrgyzstan165
179-66Peru160
180-63People’s Re175
181-63Venezuela174
182-63Kosovo173
183-63Algeria170
184-63Cuba170
185-63Kazakhstan170
186-63Netherlands170
187-63Australia168
188-63Portugal168
189-63Czechia166
190-63Austria165
191-63Brazil165
192-63Spain165
193-63France164
194-63Croatia163
195-63Hungary163
196-63Italy163
197-63Japan163
198-63Canada161
199-63Republic of161
200-60Uzbekistan172
201-60Turkiye170
202-60Zambia170
203-60Chinese Tai168
204-60Egypt168
205-60Republic of168
206-60Kazakhstan167
207-60Australia165
208-60Jamaica165
209-60Mongolia165
210-60Netherlands164
211-60Belgium163
212-60Brazil162
213-60France160
214-60Italy160
215-60Spain159
216-60Japan156
217-57Germany185
218-57Ukraine172
219-57Brazil169
220-57Chinese Tai168
221-57Mongolia168
222-57Uzbekistan166
223-57Italy165
224-57Kosovo165
225-57Guinea164
226-57France163
227-57Netherlands163
228-57Japan162
229-57People’s Re162
230-57Serbia162
231-57Canada161
232-57Nepal160
233-57Republic of159
234-57Panama158
235-57Great Brita153
236-52United Arab177
237-52Republic of171
238-52Mozambique170
239-52Canada164
240-52France160
241-52Italy160
242-52Mongolia160
243-52Morocco160
244-52Japan158
245-52People’s Re158
246-52Uzbekistan158
247-52Brazil157
248-52United Stat157
249-52Indonesia156
250-52Kosovo155
251-48Azerbaijan164
252-48Hong Kong,162
253-48Malta162
254-48Japan161
255-48Italy160
256-48People’s Re160
257-48Slovenia159
258-48Kazakhstan158
259-48Turkiye157
260-48Uzbekistan157
261-48France156
262-48Chinese Tai155
263-48Republic of155
264-48Tunisia155
265-48Austria154
266-48Chile154
267-48Portugal154
268-48Sweden154
269-48Germany153
270-48Mongolia153
271-48Brazil152
272-48South Afric152
273-48Israel150
274-48Vietnam150

References


Footnotes

(1)

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 (see Courrier International, 2024)


This document was generated on November 22, 2024 using texi2any.