Challenge avenir

Welcome to our in-depth analysis of the "Challenge avenir" in Olympic Weightlifting. This page features detailed charts, comprehensive tables, and key metrics that encapsulate the performances of France's finest clubs. Explore event-specific data, trend analyses, and performance comparisons to gain insights into the prowess and progress of athletes across the continent. Those events are a good way to introduce new athletes to the competitive aspect of olympic weightlifting.

Since 2019

Explore results from recurrent competitions from around the world. You can filter the table by weight category, gender, and nation to focus on specific athletes you're interested in. Additionally, you can sort the table by any of the available columns. Clicking on any row will provide you with detailed information about the athlete's performance.

More infos on Sinclair | More infos on Q Points | More infos on WL categories | More infos on WL loading chart
0 

0 

Year Men Women Total
2019 117 54 171
2020 400 204 604
2021 827 524 1351
2022 1500 944 2443
2023 1725 1150 2875
2024 1059 700 1759

Athletes per year at the Challenge avenir

The median is a statistical measure that represents the middle value in a dataset when the numbers are arranged in order. To find the median, you list all numbers in ascending order. If there is an odd number of observations, the median is the middle number. If there is an even number of observations, the median is the average of the two middle numbers. This measure is useful for understanding the central tendency of a dataset, especially when the data contains outliers that could skew the mean (average)

Men | Median Sinclair accross years

Women | Median Sinclair accross years

You can find more infos on the Sinclair formula here.

Best Sinclair per year at the Challenge avenir

Paid membership needed to access data. Please check the Memberships or log in

Men | Median ratios accross years

Women | Median ratios accross years

Men per weight cat.

Year Weight cat. Men
2023 19
2024 33
2019 32 1
2023 32 24
2020 32 12
2022 32 31
2021 32 16
2021 35 21
2019 35 4
2023 35 44
2020 35 16
2022 35 28
2024 35 22
2021 36 6
2023 36 9
2020 36 4
2022 36 14
2022 39 4
2021 39 1
2023 39 6
2024 40 25
2020 40 27
2023 40 45
2022 40 39
2021 40 19
2020 44 2
2023 44 6
2022 44 10
2021 44 4
2021 45 20
2024 45 18
2020 45 9
2023 45 33
2019 45 2
2022 45 30
2021 49 36
2024 49 35
2020 49 21
2023 49 80
2019 49 6
2022 49 77
2022 55 87
2021 55 45
2024 55 58
2020 55 24
2023 55 92
2019 55 6
2020 61 26
2023 61 148
2019 61 4
2022 61 105
2021 61 45
2024 61 85
2021 67 93
2024 67 106
2020 67 50
2023 67 199
2019 67 18
2022 67 176
2019 73 19
2020 73 68
2023 73 330
2022 73 256
2021 73 138
2024 73 174
2024 73+ 3
2019 73+ 1
2020 73+ 2
2023 73+ 7
2022 73+ 3
2021 73+ 2
2021 81 190
2024 81 213
2019 81 27
2020 81 68
2023 81 359
2022 81 346
2019 89 22
2021 89 128
2024 89 162
2020 89 44
2023 89 269
2022 89 245
2019 96 6
2021 96 67
2024 96 80
2020 96 25
2023 96 145
2022 96 113
2019 102 2
2024 102 27
2023 102 85
2020 102 10
2022 102 56
2021 102 37
2021 102+ 1
2019 102+ 1
2024 102+ 7
2023 102+ 10
2020 102+ 2
2022 102+ 7
2021 109 19
2019 109 1
2024 109 23
2023 109 38
2020 109 3
2022 109 41
2022 109+ 27
2021 109+ 13
2019 109+ 3
2024 109+ 21
2023 109+ 35
2020 109+ 3

Women per weight cat.

Year Weight cat. Women
2023 17
2024 32
2023 30 13
2020 30 9
2022 30 17
2021 30 12
2019 30 1
2023 33 12
2020 33 2
2022 33 11
2021 33 7
2021 35 14
2019 35 1
2023 35 31
2020 35 12
2022 35 23
2024 35 18
2021 36 3
2023 36 8
2020 36 2
2022 36 5
2024 40 18
2020 40 10
2023 40 39
2022 40 39
2019 40 1
2021 40 19
2021 45 25
2024 45 32
2020 45 14
2023 45 62
2019 45 2
2022 45 58
2021 49 30
2024 49 42
2020 49 12
2023 49 82
2019 49 2
2022 49 68
2022 55 174
2021 55 92
2024 55 113
2020 55 36
2023 55 209
2019 55 6
2020 59 36
2023 59 204
2019 59 7
2022 59 164
2021 59 95
2024 59 92
2021 64 106
2024 64 131
2020 64 33
2023 64 245
2019 64 12
2022 64 183
2022 71 173
2021 71 87
2024 71 129
2020 71 23
2023 71 211
2019 71 13
2023 71+ 8
2022 71+ 10
2021 71+ 5
2024 71+ 5
2020 71+ 3
2021 76 24
2024 76 46
2019 76 9
2020 76 9
2023 76 64
2022 76 51
2021 81 15
2024 81 25
2019 81 3
2020 81 7
2023 81 45
2022 81 29
2022 81+ 16
2021 81+ 10
2024 81+ 9
2020 81+ 1
2023 81+ 16
2020 87 2
2023 87 37
2022 87 18
2021 87 7
2024 87 19
2024 87+ 28
2020 87+ 4
2023 87+ 28
2022 87+ 20
2019 87+ 3
2021 87+ 11

Men per age cat.

Women per age cat.

Year U10 U13 U15 U17 U20 SEN MAS35_39 MAS40_44 MAS45_49 MAS50_54 MAS55_59 MAS60_64 MAS65_69 MAS70_74 MAS75_79 MAS80_84
2019 9 20 16 24 15 69 3 2 4 4 1 2 2 0 0 0
2020 65 129 58 56 41 167 28 11 15 10 6 8 4 5 0 1
2021 88 170 105 84 110 518 89 69 39 31 15 12 6 9 4 2
2022 114 306 238 186 263 892 160 106 64 38 28 17 18 11 6 2
2023 143 332 304 226 313 1080 163 106 67 50 36 18 20 10 7 1
2024 65 217 185 122 153 698 118 68 44 27 16 18 14 11 2 1

Number of athletes per age category

Biggest snatch per year

Paid membership needed to access data. Please check the Memberships or log in

Biggest CJ per year

Paid membership needed to access data. Please check the Memberships or log in

Biggest snatch ratio per year

Paid membership needed to access data. Please check the Memberships or log in

Biggest CJ ratio per year

Paid membership needed to access data. Please check the Memberships or log in

Oldest athletes per year

Paid membership needed to access data. Please check the Memberships or log in

Youngest athletes per year

Paid membership needed to access data. Please check the Memberships or log in

All results from the Challenge avenir