There are currently 96598 people playing Traffic Wonder worldwide. If you would like to measure up against a specific player, please feel free to use the compare feature offered on this page, it allows you to compare between two player results, achievements and progress. First select a player and then compare it with another one by using the dropdown menu.

previous  |  30  |  31  |  32  |  33  |  34  |  35  |  36  |  37  |  38  |    next
# RANK LEVEL SCORE nickname (playing from) medals boxes stops used crashes
3304 3280 7 327,605 United States k.kmlm (United States) 10 23 15 540
3304 3280 7 327,605 United States k.kmlm (United States) 10 23 15 540
3305 3281 7 327,581 Indonesia tomz (Indonesia) 15 31 14 200
3305 3281 7 327,581 Indonesia tomz (Indonesia) 15 31 14 200
3306 3282 7 327,566 Chile theyoshifinal (Chile) 17 31 18 192
3306 3282 7 327,566 Chile theyoshifinal (Chile) 17 31 18 192
3307 3283 7 327,564 United States cj (United States) 16 29 15 363
3307 3283 7 327,564 United States cj (United States) 16 29 15 363
3308 3284 7 327,563 China wayne (China) 17 31 2 301
3308 3284 7 327,563 China wayne (China) 17 31 2 301
3309 3285 7 327,308 France bob (France) 16 30 6 162
3309 3285 7 327,308 France bob (France) 16 30 6 162
3310 3286 7 327,296 United Kingdom Tyson (United Kingdom) 17 30 10 109
3310 3286 7 327,296 United Kingdom Tyson (United Kingdom) 17 30 10 109
3311 3287 7 327,270 France mr (France) 11 31 0 215
3311 3287 7 327,270 France mr (France) 11 31 0 215
3312 3288 7 327,262 China lee (China) 11 31 1 417
3312 3288 7 327,262 China lee (China) 11 31 1 417
3313 3289 7 327,253 Iran Bonshad (Iran) 19 30 0 329
3313 3289 7 327,253 Iran Bonshad (Iran) 19 30 0 329
3314 3290 7 327,154 Ecuador 2nz (Ecuador) 14 31 16 176
3314 3290 7 327,154 Ecuador 2nz (Ecuador) 14 31 16 176
3315 3291 7 327,151 Russian Federation nightmare (Russian Federation) 13 30 18 177
3315 3291 7 327,151 Russian Federation nightmare (Russian Federation) 13 30 18 177
3316 3292 7 326,965 Indonesia Albert ganteng (Indonesia) 15 30 0 307
3316 3292 7 326,965 Indonesia Albert ganteng (Indonesia) 15 30 0 307
3317 3293 7 326,952 Republic of Korea 수도권 (Republic of Korea) 14 30 11 308
3317 3293 7 326,952 Republic of Korea 수도권 (Republic of Korea) 14 30 11 308
3318 3294 7 326,946 India Raghav (India) 17 30 5 244
3318 3294 7 326,946 India Raghav (India) 17 30 5 244
3319 3295 7 326,902 China 1115 (China) 15 31 0 164
3319 3295 7 326,902 China 1115 (China) 15 31 0 164
3320 3296 7 326,889 Canada Quin (Canada) 17 30 15 160
3320 3296 7 326,889 Canada Quin (Canada) 17 30 15 160
3321 3297 7 326,873 Hungary Bubu (Hungary) 15 30 18 186
3321 3297 7 326,873 Hungary Bubu (Hungary) 15 30 18 186
3322 3298 7 326,842 China qq (China) 11 31 1 187
3322 3298 7 326,842 China qq (China) 11 31 1 187
3323 3299 7 326,837 United Kingdom Fish (United Kingdom) 16 30 14 135
3323 3299 7 326,837 United Kingdom Fish (United Kingdom) 16 30 14 135
3324 3300 7 326,819 France Jérôme (France) 14 30 15 151
3324 3300 7 326,819 France Jérôme (France) 14 30 15 151
3325 3301 7 326,804 Russian Federation жанна (Russian Federation) 16 31 0 299
3325 3301 7 326,804 Russian Federation жанна (Russian Federation) 16 31 0 299
3326 3302 7 326,766 Indonesia tata (Indonesia) 13 31 0 220
3326 3302 7 326,766 Indonesia tata (Indonesia) 13 31 0 220
3327 3303 7 326,711 Sweden zapdoz (Sweden) 20 30 13 194
3327 3303 7 326,711 Sweden zapdoz (Sweden) 20 30 13 194
3328 3304 7 326,702 France olo (France) 15 30 8 292
3328 3304 7 326,702 France olo (France) 15 30 8 292
3329 3305 7 326,681 United States kit (United States) 12 31 18 191
3329 3305 7 326,681 United States kit (United States) 12 31 18 191
3330 3306 7 326,625 United States wanda (United States) 11 29 15 227
3330 3306 7 326,625 United States wanda (United States) 11 29 15 227
3331 3307 7 326,583 Argentina Sasha (Argentina) 17 30 18 152
3331 3307 7 326,583 Argentina Sasha (Argentina) 17 30 18 152
3332 3308 7 326,510 Brazil fernando (Brazil) 16 30 15 126
3332 3308 7 326,510 Brazil fernando (Brazil) 16 30 15 126
3333 3309 7 326,508 China wo (China) 16 31 0 188
3333 3309 7 326,508 China wo (China) 16 31 0 188
3334 3310 7 326,494 Italy Mattx (Italy) 13 30 14 128
3334 3310 7 326,494 Italy Mattx (Italy) 13 30 14 128
3335 3311 7 326,489 South Africa Jason (South Africa) 14 31 18 129
3335 3311 7 326,489 South Africa Jason (South Africa) 14 31 18 129
3336 3312 7 326,448 United States هادی (United States) 12 31 18 244
3336 3312 7 326,448 United States هادی (United States) 12 31 18 244
3337 3313 7 326,422 China Franklin (China) 20 30 0 202
3337 3313 7 326,422 China Franklin (China) 20 30 0 202
3338 3314 7 326,421 China alie (China) 16 30 15 137
3338 3314 7 326,421 China alie (China) 16 30 15 137
3339 3315 7 326,401 Russian Federation melya (Russian Federation) 17 30 15 283
3339 3315 7 326,401 Russian Federation melya (Russian Federation) 17 30 15 283
3340 3316 7 326,384 Brazil leonilda (Brazil) 13 30 0 243
3340 3316 7 326,384 Brazil leonilda (Brazil) 13 30 0 243
3341 3317 7 326,265 Qatar par (Qatar) 14 30 18 258
3341 3317 7 326,265 Qatar par (Qatar) 14 30 18 258
3342 3318 7 326,264 Sweden gustaf (Sweden) 12 23 5 947
3342 3318 7 326,264 Sweden gustaf (Sweden) 12 23 5 947
3343 3319 7 326,223 United States james (United States) 13 31 0 139
3343 3319 7 326,223 United States james (United States) 13 31 0 139
3344 3320 7 326,031 France antidote (France) 19 29 5 162
3344 3320 7 326,031 France antidote (France) 19 29 5 162
3345 3321 7 325,978 United States Andrew (United States) 10 31 2 123
3345 3321 7 325,978 United States Andrew (United States) 10 31 2 123
3346 3322 7 325,866 Sweden Maangee (Sweden) 12 29 15 169
3346 3322 7 325,866 Sweden Maangee (Sweden) 12 29 15 169
3347 3323 7 325,811 United States flair (United States) 18 30 2 179
3347 3323 7 325,811 United States flair (United States) 18 30 2 179
3348 3324 7 325,742 Brazil Maschity (Brazil) 15 30 3 263
3348 3324 7 325,742 Brazil Maschity (Brazil) 15 30 3 263
3349 3325 7 325,704 Netherlands Enlea (Netherlands) 18 30 15 182
3349 3325 7 325,704 Netherlands Enlea (Netherlands) 18 30 15 182
3350 3326 7 325,648 France philou (France) 13 30 0 259
3350 3326 7 325,648 France philou (France) 13 30 0 259
3351 3327 7 325,617 United States Daddy (United States) 15 30 15 91
3351 3327 7 325,617 United States Daddy (United States) 15 30 15 91
3352 3328 7 325,596 Belgium pellepatat (Belgium) 16 30 9 162
3352 3328 7 325,596 Belgium pellepatat (Belgium) 16 30 9 162
3353 3329 7 325,575 Japan moto (Japan) 16 30 7 470
3353 3329 7 325,575 Japan moto (Japan) 16 30 7 470
previous  |  30  |  31  |  32  |  33  |  34  |  35  |  36  |  37  |  38  |    next