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# RANK LEVEL SCORE nickname (playing from) medals boxes stops used crashes
3305 3279 7 328,380 Brazil gui (Brazil) 18 30 7 194
3305 3279 7 328,380 Brazil gui (Brazil) 18 30 7 194
3306 3280 7 328,301 Sweden herr (Sweden) 12 31 15 130
3306 3280 7 328,301 Sweden herr (Sweden) 12 31 15 130
3307 3281 7 328,283 Brazil paulo (Brazil) 12 30 3 146
3307 3281 7 328,283 Brazil paulo (Brazil) 12 30 3 146
3308 3282 7 328,267 United States Dennis (United States) 15 30 6 180
3308 3282 7 328,267 United States Dennis (United States) 15 30 6 180
3309 3283 7 328,247 Viet Nam Tank (Viet Nam) 16 30 8 114
3309 3283 7 328,247 Viet Nam Tank (Viet Nam) 16 30 8 114
3310 3284 7 328,233 China long_flyhigh (China) 18 30 6 193
3310 3284 7 328,233 China long_flyhigh (China) 18 30 6 193
3311 3285 7 328,227 China sam (China) 14 30 0 229
3311 3285 7 328,227 China sam (China) 14 30 0 229
3312 3286 7 328,140 Argentina Qlaaas (Argentina) 17 30 9 139
3312 3286 7 328,140 Argentina Qlaaas (Argentina) 17 30 9 139
3313 3287 7 328,130 Poland R4v (Poland) 15 31 5 158
3313 3287 7 328,130 Poland R4v (Poland) 15 31 5 158
3314 3288 7 328,129 Canada Megan (Canada) 14 31 16 251
3314 3288 7 328,129 Canada Megan (Canada) 14 31 16 251
3315 3289 7 328,125 China xm (China) 18 30 3 160
3315 3289 7 328,125 China xm (China) 18 30 3 160
3316 3290 7 328,095 Netherlands inge (Netherlands) 16 30 16 248
3316 3290 7 328,095 Netherlands inge (Netherlands) 16 30 16 248
3317 3291 7 328,035 France juju (France) 17 30 14 102
3317 3291 7 328,035 France juju (France) 17 30 14 102
3318 3292 7 328,028 India GunMo (India) 19 30 6 205
3318 3292 7 328,028 India GunMo (India) 19 30 6 205
3319 3293 7 328,013 United Kingdom kay (United Kingdom) 20 30 0 209
3319 3293 7 328,013 United Kingdom kay (United Kingdom) 20 30 0 209
3320 3294 7 328,003 Italy luca (Italy) 12 30 15 116
3320 3294 7 328,003 Italy luca (Italy) 12 30 15 116
3321 3295 7 327,883 Germany michi (Germany) 14 31 5 107
3321 3295 7 327,883 Germany michi (Germany) 14 31 5 107
3322 3296 7 327,873 Spain dai (Spain) 16 30 6 229
3322 3296 7 327,873 Spain dai (Spain) 16 30 6 229
3323 3297 7 327,842 Brazil Lelis (Brazil) 18 30 9 220
3323 3297 7 327,842 Brazil Lelis (Brazil) 18 30 9 220
3324 3298 7 327,811 Thailand Tak (Thailand) 16 31 1 251
3324 3298 7 327,811 Thailand Tak (Thailand) 16 31 1 251
3325 3299 7 327,796 Canada G.vourr (Canada) 17 30 4 178
3325 3299 7 327,796 Canada G.vourr (Canada) 17 30 4 178
3326 3300 7 327,762 India guri (India) 12 30 17 276
3326 3300 7 327,762 India guri (India) 12 30 17 276
3327 3301 7 327,722 Canada sam (Canada) 19 30 10 271
3327 3301 7 327,722 Canada sam (Canada) 19 30 10 271
3328 3302 7 327,605 United States k.kmlm (United States) 10 23 15 540
3328 3302 7 327,605 United States k.kmlm (United States) 10 23 15 540
3329 3303 7 327,581 Indonesia tomz (Indonesia) 15 31 14 200
3329 3303 7 327,581 Indonesia tomz (Indonesia) 15 31 14 200
3330 3304 7 327,566 Chile theyoshifinal (Chile) 17 31 18 192
3330 3304 7 327,566 Chile theyoshifinal (Chile) 17 31 18 192
3331 3305 7 327,564 United States cj (United States) 16 29 15 363
3331 3305 7 327,564 United States cj (United States) 16 29 15 363
3332 3306 7 327,563 China wayne (China) 17 31 2 301
3332 3306 7 327,563 China wayne (China) 17 31 2 301
3333 3307 7 327,308 France bob (France) 16 30 6 162
3333 3307 7 327,308 France bob (France) 16 30 6 162
3334 3308 7 327,296 United Kingdom Tyson (United Kingdom) 17 30 10 109
3334 3308 7 327,296 United Kingdom Tyson (United Kingdom) 17 30 10 109
3335 3309 7 327,270 France mr (France) 11 31 0 215
3335 3309 7 327,270 France mr (France) 11 31 0 215
3336 3310 7 327,262 China lee (China) 11 31 1 417
3336 3310 7 327,262 China lee (China) 11 31 1 417
3337 3311 7 327,253 Iran Bonshad (Iran) 19 30 0 329
3337 3311 7 327,253 Iran Bonshad (Iran) 19 30 0 329
3338 3312 7 327,154 Ecuador 2nz (Ecuador) 14 31 16 176
3338 3312 7 327,154 Ecuador 2nz (Ecuador) 14 31 16 176
3339 3313 7 327,151 Russian Federation nightmare (Russian Federation) 13 30 18 177
3339 3313 7 327,151 Russian Federation nightmare (Russian Federation) 13 30 18 177
3340 3314 7 326,965 Indonesia Albert ganteng (Indonesia) 15 30 0 307
3340 3314 7 326,965 Indonesia Albert ganteng (Indonesia) 15 30 0 307
3341 3315 7 326,952 Republic of Korea ìˆ˜ë„권 (Republic of Korea) 14 30 11 308
3341 3315 7 326,952 Republic of Korea ìˆ˜ë„권 (Republic of Korea) 14 30 11 308
3342 3316 7 326,946 India Raghav (India) 17 30 5 244
3342 3316 7 326,946 India Raghav (India) 17 30 5 244
3343 3317 7 326,902 China 1115 (China) 15 31 0 164
3343 3317 7 326,902 China 1115 (China) 15 31 0 164
3344 3318 7 326,889 Canada Quin (Canada) 17 30 15 160
3344 3318 7 326,889 Canada Quin (Canada) 17 30 15 160
3345 3319 7 326,873 Hungary Bubu (Hungary) 15 30 18 186
3345 3319 7 326,873 Hungary Bubu (Hungary) 15 30 18 186
3346 3320 7 326,842 China qq (China) 11 31 1 187
3346 3320 7 326,842 China qq (China) 11 31 1 187
3347 3321 7 326,837 United Kingdom Fish (United Kingdom) 16 30 14 135
3347 3321 7 326,837 United Kingdom Fish (United Kingdom) 16 30 14 135
3348 3322 7 326,819 France Jérôme (France) 14 30 15 151
3348 3322 7 326,819 France Jérôme (France) 14 30 15 151
3349 3323 7 326,804 Russian Federation Ð¶Ð°Ð½Ð½Ð° (Russian Federation) 16 31 0 299
3349 3323 7 326,804 Russian Federation Ð¶Ð°Ð½Ð½Ð° (Russian Federation) 16 31 0 299
3350 3324 7 326,766 Indonesia tata (Indonesia) 13 31 0 220
3350 3324 7 326,766 Indonesia tata (Indonesia) 13 31 0 220
3351 3325 7 326,711 Sweden zapdoz (Sweden) 20 30 13 194
3351 3325 7 326,711 Sweden zapdoz (Sweden) 20 30 13 194
3352 3326 7 326,702 France olo (France) 15 30 8 292
3352 3326 7 326,702 France olo (France) 15 30 8 292
3353 3327 7 326,681 United States kit (United States) 12 31 18 191
3353 3327 7 326,681 United States kit (United States) 12 31 18 191
3354 3328 7 326,625 United States wanda (United States) 11 29 15 227
3354 3328 7 326,625 United States wanda (United States) 11 29 15 227
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