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# RANK LEVEL SCORE nickname (playing from) medals boxes stops used crashes
2883 2869 7 341,687 Russian Federation Alexander (Russian Federation) 19 31 5 260
2883 2869 7 341,687 Russian Federation Alexander (Russian Federation) 19 31 5 260
2884 2870 7 341,670 Canada amélie (Canada) 15 31 18 176
2884 2870 7 341,670 Canada amélie (Canada) 15 31 18 176
2885 2871 7 341,638 Denmark Uni (Denmark) 18 31 13 186
2885 2871 7 341,638 Denmark Uni (Denmark) 18 31 13 186
2886 2872 7 341,629 United States Escher0 (United States) 16 32 0 164
2886 2872 7 341,629 United States Escher0 (United States) 16 32 0 164
2887 2873 7 341,590 Latvia OS (Latvia) 22 31 3 257
2887 2873 7 341,590 Latvia OS (Latvia) 22 31 3 257
2888 2874 7 341,507 Indonesia FSCanP (Indonesia) 14 29 0 220
2888 2874 7 341,507 Indonesia FSCanP (Indonesia) 14 29 0 220
2889 2875 7 341,491 Russian Federation Nicolas (Russian Federation) 23 31 18 391
2889 2875 7 341,491 Russian Federation Nicolas (Russian Federation) 23 31 18 391
2890 2876 7 341,401 France Driver (France) 19 32 5 403
2890 2876 7 341,401 France Driver (France) 19 32 5 403
2891 2877 7 341,391 United States mom (United States) 12 32 13 134
2891 2877 7 341,391 United States mom (United States) 12 32 13 134
2892 2878 7 341,345 France steph (France) 17 30 14 292
2892 2878 7 341,345 France steph (France) 17 30 14 292
2893 2879 7 341,344 China kin (China) 21 31 17 164
2893 2879 7 341,344 China kin (China) 21 31 17 164
2894 2880 7 341,264 South Africa Sara (South Africa) 16 32 6 267
2894 2880 7 341,264 South Africa Sara (South Africa) 16 32 6 267
2895 2881 7 341,232 China linfeng (China) 20 31 18 103
2895 2881 7 341,232 China linfeng (China) 20 31 18 103
2896 2882 7 341,219 Germany naui (Germany) 22 31 15 398
2896 2882 7 341,219 Germany naui (Germany) 22 31 15 398
2897 2883 7 341,110 United Kingdom Andy (United Kingdom) 12 31 9 107
2897 2883 7 341,110 United Kingdom Andy (United Kingdom) 12 31 9 107
2898 2884 7 341,056 India parmod nagar (India) 17 32 2 304
2898 2884 7 341,056 India parmod nagar (India) 17 32 2 304
2899 2885 7 341,039 United Kingdom mike (United Kingdom) 18 32 18 271
2899 2885 7 341,039 United Kingdom mike (United Kingdom) 18 32 18 271
2900 2886 7 340,995 United States Mellott (United States) 9 31 15 188
2900 2886 7 340,995 United States Mellott (United States) 9 31 15 188
2901 2887 7 340,987 Russian Federation XAHA (Russian Federation) 13 32 4 141
2901 2887 7 340,987 Russian Federation XAHA (Russian Federation) 13 32 4 141
2902 2888 7 340,933 United States smie0015 (United States) 18 31 17 434
2902 2888 7 340,933 United States smie0015 (United States) 18 31 17 434
2903 2889 7 340,871 Australia GA (Australia) 18 31 12 249
2903 2889 7 340,871 Australia GA (Australia) 18 31 12 249
2904 2890 7 340,842 Canada Dana (Canada) 18 31 9 472
2904 2890 7 340,842 Canada Dana (Canada) 18 31 9 472
2905 2891 7 340,840 Europe hyhh (Europe) 10 28 18 434
2905 2891 7 340,840 Europe hyhh (Europe) 10 28 18 434
2906 2892 7 340,830 France fredde (France) 14 31 10 113
2906 2892 7 340,830 France fredde (France) 14 31 10 113
2907 2893 7 340,802 United Kingdom me (United Kingdom) 16 31 10 142
2907 2893 7 340,802 United Kingdom me (United Kingdom) 16 31 10 142
2908 2894 7 340,739 Romania cristi (Romania) 20 31 5 124
2908 2894 7 340,739 Romania cristi (Romania) 20 31 5 124
2909 2895 7 340,736 unknown marcel (unknown) 16 31 10 289
2909 2895 7 340,736 unknown marcel (unknown) 16 31 10 289
2910 2896 7 340,735 China hayden (China) 22 31 4 359
2910 2896 7 340,735 China hayden (China) 22 31 4 359
2911 2897 7 340,730 India Knight (India) 17 32 6 336
2911 2897 7 340,730 India Knight (India) 17 32 6 336
2912 2898 7 340,651 France yokov (France) 15 31 5 116
2912 2898 7 340,651 France yokov (France) 15 31 5 116
2913 2899 7 340,625 Malaysia ccl (Malaysia) 22 31 2 246
2913 2899 7 340,625 Malaysia ccl (Malaysia) 22 31 2 246
2914 2900 7 340,620 China Eko (China) 22 31 5 305
2914 2900 7 340,620 China Eko (China) 22 31 5 305
2915 2901 7 340,558 United States arebi (United States) 11 28 0 437
2915 2901 7 340,558 United States arebi (United States) 11 28 0 437
2916 2902 7 340,544 United States Alan (United States) 20 32 9 205
2916 2902 7 340,544 United States Alan (United States) 20 32 9 205
2917 2903 7 340,510 China Edward Lee (China) 21 31 15 178
2917 2903 7 340,510 China Edward Lee (China) 21 31 15 178
2918 2904 7 340,482 Canada Ty (Canada) 14 32 17 193
2918 2904 7 340,482 Canada Ty (Canada) 14 32 17 193
2919 2905 7 340,432 Malaysia jeng (Malaysia) 13 31 18 336
2919 2905 7 340,432 Malaysia jeng (Malaysia) 13 31 18 336
2920 2906 7 340,416 Mexico ebbard (Mexico) 20 31 15 438
2920 2906 7 340,416 Mexico ebbard (Mexico) 20 31 15 438
2921 2907 7 340,405 Italy fedra (Italy) 18 31 18 453
2921 2907 7 340,405 Italy fedra (Italy) 18 31 18 453
2922 2908 7 340,401 Germany Kuki (Germany) 13 32 16 116
2922 2908 7 340,401 Germany Kuki (Germany) 13 32 16 116
2923 2909 7 340,362 Poland maciej (Poland) 16 32 14 158
2923 2909 7 340,362 Poland maciej (Poland) 16 32 14 158
2924 2910 7 340,323 United Kingdom scampiuk (United Kingdom) 17 31 18 274
2924 2910 7 340,323 United Kingdom scampiuk (United Kingdom) 17 31 18 274
2925 2911 7 340,225 Canada nooba (Canada) 22 31 15 245
2925 2911 7 340,225 Canada nooba (Canada) 22 31 15 245
2926 2912 7 340,221 Canada brendan (Canada) 15 31 15 199
2926 2912 7 340,221 Canada brendan (Canada) 15 31 15 199
2927 2913 7 340,200 United States Jesse (United States) 20 31 4 187
2927 2913 7 340,200 United States Jesse (United States) 20 31 4 187
2928 2914 7 340,188 Brazil Fabio (Brazil) 22 31 5 164
2928 2914 7 340,188 Brazil Fabio (Brazil) 22 31 5 164
2929 2915 7 340,122 Canada mafz (Canada) 19 31 6 283
2929 2915 7 340,122 Canada mafz (Canada) 19 31 6 283
2930 2916 7 340,075 Japan zuk (Japan) 21 31 8 155
2930 2916 7 340,075 Japan zuk (Japan) 21 31 8 155
2931 2917 7 340,052 Germany yoghurt (Germany) 18 31 17 163
2931 2917 7 340,052 Germany yoghurt (Germany) 18 31 17 163
2932 2918 7 339,984 United States jay (United States) 21 31 5 255
2932 2918 7 339,984 United States jay (United States) 21 31 5 255
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