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# RANK LEVEL SCORE nickname (playing from) medals boxes stops used crashes
2703 2691 6 349,819 United States Jimmy A. (United States) 18 33 11 377
2703 2691 6 349,819 United States Jimmy A. (United States) 18 33 11 377
2704 2692 6 349,807 United States Adrian (United States) 16 32 5 140
2704 2692 6 349,807 United States Adrian (United States) 16 32 5 140
2705 2693 6 349,704 France DarkNeo (France) 13 33 9 273
2705 2693 6 349,704 France DarkNeo (France) 13 33 9 273
2706 2694 6 349,635 Canada Franckash (Canada) 17 32 11 133
2706 2694 6 349,635 Canada Franckash (Canada) 17 32 11 133
2707 2695 6 349,607 France Professeurbibou (France) 16 32 18 212
2707 2695 6 349,607 France Professeurbibou (France) 16 32 18 212
2708 2696 6 349,575 Spain Mark (Spain) 14 32 14 157
2708 2696 6 349,575 Spain Mark (Spain) 14 32 14 157
2709 2697 6 349,568 Australia gyro (Australia) 14 32 18 208
2709 2697 6 349,568 Australia gyro (Australia) 14 32 18 208
2710 2698 6 349,527 United States Hal (United States) 18 32 15 257
2710 2698 6 349,527 United States Hal (United States) 18 32 15 257
2711 2699 6 349,483 Netherlands Ben (Netherlands) 17 32 6 175
2711 2699 6 349,483 Netherlands Ben (Netherlands) 17 32 6 175
2712 2700 6 349,435 Russian Federation Ð¿Ð°Ð¿Ð° (Russian Federation) 14 32 14 282
2712 2700 6 349,435 Russian Federation Ð¿Ð°Ð¿Ð° (Russian Federation) 14 32 14 282
2713 2701 6 349,430 Sweden Toosman (Sweden) 14 33 18 158
2713 2701 6 349,430 Sweden Toosman (Sweden) 14 33 18 158
2714 2701 6 349,430 China å¹²å‡€åˆ©è½ (China) 20 32 5 645
2714 2701 6 349,430 China å¹²å‡€åˆ©è½ (China) 20 32 5 645
2715 2702 6 349,373 Russian Federation steelrat (Russian Federation) 17 32 8 193
2715 2702 6 349,373 Russian Federation steelrat (Russian Federation) 17 32 8 193
2716 2703 7 349,309 Canada g2kott (Canada) 16 33 14 223
2716 2703 7 349,309 Canada g2kott (Canada) 16 33 14 223
2717 2704 7 349,270 United States JAY (United States) 12 31 8 571
2717 2704 7 349,270 United States JAY (United States) 12 31 8 571
2718 2705 7 349,263 United States rob (United States) 12 32 0 221
2718 2705 7 349,263 United States rob (United States) 12 32 0 221
2719 2706 7 349,201 Spain Rubén (Spain) 17 32 17 86
2719 2706 7 349,201 Spain Rubén (Spain) 17 32 17 86
2720 2707 7 349,194 Czech Republic Fanda (Czech Republic) 13 33 0 216
2720 2707 7 349,194 Czech Republic Fanda (Czech Republic) 13 33 0 216
2721 2708 7 349,137 Belgium matthias (Belgium) 17 32 2 319
2721 2708 7 349,137 Belgium matthias (Belgium) 17 32 2 319
2722 2709 7 349,103 France rr (France) 19 32 18 260
2722 2709 7 349,103 France rr (France) 19 32 18 260
2723 2710 7 349,097 Czech Republic Oblu (Czech Republic) 20 32 1 313
2723 2710 7 349,097 Czech Republic Oblu (Czech Republic) 20 32 1 313
2724 2711 7 349,067 France romain (France) 10 30 18 326
2724 2711 7 349,067 France romain (France) 10 30 18 326
2725 2712 7 349,036 China cherry (China) 15 33 0 129
2725 2712 7 349,036 China cherry (China) 15 33 0 129
2726 2713 7 348,867 Poland Jejo (Poland) 11 30 11 237
2726 2713 7 348,867 Poland Jejo (Poland) 11 30 11 237
2727 2714 7 348,859 Austria hanna (Austria) 11 31 0 314
2727 2714 7 348,859 Austria hanna (Austria) 11 31 0 314
2728 2715 7 348,830 China éª¨å¤´æ±¤ (China) 19 31 6 327
2728 2715 7 348,830 China éª¨å¤´æ±¤ (China) 19 31 6 327
2729 2716 7 348,825 Italy Fede (Italy) 17 32 7 214
2729 2716 7 348,825 Italy Fede (Italy) 17 32 7 214
2730 2717 7 348,819 China zy (China) 18 32 8 156
2730 2717 7 348,819 China zy (China) 18 32 8 156
2731 2718 7 348,818 Hong Kong boss (Hong Kong) 14 31 10 166
2731 2718 7 348,818 Hong Kong boss (Hong Kong) 14 31 10 166
2732 2719 7 348,805 Germany Denman (Germany) 13 28 2 264
2732 2719 7 348,805 Germany Denman (Germany) 13 28 2 264
2733 2720 7 348,709 France alf (France) 14 33 18 142
2733 2720 7 348,709 France alf (France) 14 33 18 142
2734 2721 7 348,662 Germany Steffen (Germany) 16 33 1 85
2734 2721 7 348,662 Germany Steffen (Germany) 16 33 1 85
2735 2722 7 348,634 United Kingdom hayd (United Kingdom) 18 32 14 153
2735 2722 7 348,634 United Kingdom hayd (United Kingdom) 18 32 14 153
2736 2723 7 348,385 China bode (China) 16 32 15 377
2736 2723 7 348,385 China bode (China) 16 32 15 377
2737 2724 7 348,350 China RaiKi (China) 19 32 9 150
2737 2724 7 348,350 China RaiKi (China) 19 32 9 150
2738 2725 7 348,318 China jerry (China) 13 30 13 376
2738 2725 7 348,318 China jerry (China) 13 30 13 376
2739 2726 7 348,207 China haomouse (China) 13 32 7 319
2739 2726 7 348,207 China haomouse (China) 13 32 7 319
2740 2727 7 348,202 Netherlands Sebastiaan (Netherlands) 17 32 3 121
2740 2727 7 348,202 Netherlands Sebastiaan (Netherlands) 17 32 3 121
2741 2728 7 348,193 Sweden lollis (Sweden) 14 32 13 250
2741 2728 7 348,193 Sweden lollis (Sweden) 14 32 13 250
2742 2729 7 348,192 Italy Luca (Italy) 16 32 16 159
2742 2729 7 348,192 Italy Luca (Italy) 16 32 16 159
2743 2730 7 348,151 United Kingdom Wesz (United Kingdom) 17 32 2 163
2743 2730 7 348,151 United Kingdom Wesz (United Kingdom) 17 32 2 163
2744 2731 7 348,036 United Kingdom Giles (United Kingdom) 17 32 4 147
2744 2731 7 348,036 United Kingdom Giles (United Kingdom) 17 32 4 147
2745 2732 7 348,028 United States Jess (United States) 16 32 14 193
2745 2732 7 348,028 United States Jess (United States) 16 32 14 193
2746 2733 7 347,997 India pwf (India) 12 32 15 225
2746 2733 7 347,997 India pwf (India) 12 32 15 225
2747 2734 7 347,988 India M@ster (India) 13 32 0 214
2747 2734 7 347,988 India M@ster (India) 13 32 0 214
2748 2735 7 347,951 France balis (France) 16 32 17 146
2748 2735 7 347,951 France balis (France) 16 32 17 146
2749 2736 7 347,876 China oi (China) 16 33 12 170
2749 2736 7 347,876 China oi (China) 16 33 12 170
2750 2737 7 347,792 France pascal (France) 14 32 0 167
2750 2737 7 347,792 France pascal (France) 14 32 0 167
2751 2738 7 347,734 Indonesia kasis (Indonesia) 14 32 9 308
2751 2738 7 347,734 Indonesia kasis (Indonesia) 14 32 9 308
2752 2739 7 347,699 China Zzz (China) 11 31 0 331
2752 2739 7 347,699 China Zzz (China) 11 31 0 331
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