There are currently 94868 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.

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# RANK LEVEL SCORE nickname (playing from) medals boxes stops used crashes
2746 2734 7 345,419 Germany Stefan (Germany) 16 32 6 309
2746 2734 7 345,419 Germany Stefan (Germany) 16 32 6 309
2747 2735 7 345,408 France fred (France) 11 30 11 189
2747 2735 7 345,408 France fred (France) 11 30 11 189
2748 2736 7 345,371 Russian Federation марина (Russian Federation) 16 32 14 210
2748 2736 7 345,371 Russian Federation марина (Russian Federation) 16 32 14 210
2749 2737 7 345,350 France clément (France) 14 32 10 384
2749 2737 7 345,350 France clément (France) 14 32 10 384
2750 2738 7 345,325 United Kingdom Superdude201 (United Kingdom) 12 32 3 194
2750 2738 7 345,325 United Kingdom Superdude201 (United Kingdom) 12 32 3 194
2751 2739 7 345,301 India Asish (India) 19 31 8 356
2751 2739 7 345,301 India Asish (India) 19 31 8 356
2752 2740 7 345,284 United Kingdom Simon (United Kingdom) 17 32 18 344
2752 2740 7 345,284 United Kingdom Simon (United Kingdom) 17 32 18 344
2753 2741 7 345,273 Pakistan irra (Pakistan) 13 31 3 391
2753 2741 7 345,273 Pakistan irra (Pakistan) 13 31 3 391
2754 2742 7 345,202 Germany claudi (Germany) 16 32 6 178
2754 2742 7 345,202 Germany claudi (Germany) 16 32 6 178
2755 2743 7 345,082 China ps (China) 14 31 7 147
2755 2743 7 345,082 China ps (China) 14 31 7 147
2756 2744 7 345,062 United Kingdom declan (United Kingdom) 15 30 12 361
2756 2744 7 345,062 United Kingdom declan (United Kingdom) 15 30 12 361
2757 2745 7 345,052 United Kingdom Autopanda (United Kingdom) 16 32 13 224
2757 2745 7 345,052 United Kingdom Autopanda (United Kingdom) 16 32 13 224
2758 2746 7 344,996 Russian Federation pavez (Russian Federation) 17 32 0 153
2758 2746 7 344,996 Russian Federation pavez (Russian Federation) 17 32 0 153
2759 2747 7 344,993 Italy Monica (Italy) 14 32 2 120
2759 2747 7 344,993 Italy Monica (Italy) 14 32 2 120
2760 2748 7 344,911 Spain jorge (Spain) 16 32 13 71
2760 2748 7 344,911 Spain jorge (Spain) 16 32 13 71
2761 2749 7 344,878 United Kingdom Adam (United Kingdom) 13 32 7 139
2761 2749 7 344,878 United Kingdom Adam (United Kingdom) 13 32 7 139
2762 2750 7 344,793 Argentina gatta (Argentina) 13 31 0 126
2762 2750 7 344,793 Argentina gatta (Argentina) 13 31 0 126
2763 2751 7 344,559 China lily (China) 14 32 0 245
2763 2751 7 344,559 China lily (China) 14 32 0 245
2764 2752 7 344,525 Hong Kong Mc (Hong Kong) 21 32 0 226
2764 2752 7 344,525 Hong Kong Mc (Hong Kong) 21 32 0 226
2765 2753 7 344,516 China Veacent (China) 16 32 12 305
2765 2753 7 344,516 China Veacent (China) 16 32 12 305
2766 2754 7 344,447 Canada Chris (Canada) 16 31 3 397
2766 2754 7 344,447 Canada Chris (Canada) 16 31 3 397
2767 2755 7 344,364 Taiwan poko (Taiwan) 11 32 8 142
2767 2755 7 344,364 Taiwan poko (Taiwan) 11 32 8 142
2768 2756 7 344,362 China limbo (China) 18 32 7 306
2768 2756 7 344,362 China limbo (China) 18 32 7 306
2769 2757 7 344,311 India asmi (India) 10 31 15 447
2769 2757 7 344,311 India asmi (India) 10 31 15 447
2770 2758 7 344,304 Germany Kalli (Germany) 18 32 9 227
2770 2758 7 344,304 Germany Kalli (Germany) 18 32 9 227
2771 2759 7 344,159 Russian Federation люба (Russian Federation) 15 32 0 149
2771 2759 7 344,159 Russian Federation люба (Russian Federation) 15 32 0 149
2772 2760 7 344,063 France coco (France) 13 31 8 129
2772 2760 7 344,063 France coco (France) 13 31 8 129
2773 2761 7 344,000 United Kingdom dan (United Kingdom) 22 31 3 245
2773 2761 7 344,000 United Kingdom dan (United Kingdom) 22 31 3 245
2774 2762 7 343,939 Puerto Rico Gerald (Puerto Rico) 16 33 0 218
2774 2762 7 343,939 Puerto Rico Gerald (Puerto Rico) 16 33 0 218
2775 2763 7 343,894 Sweden peter (Sweden) 19 32 0 597
2775 2763 7 343,894 Sweden peter (Sweden) 19 32 0 597
2776 2764 7 343,853 France lolo (France) 15 32 18 129
2776 2764 7 343,853 France lolo (France) 15 32 18 129
2777 2765 7 343,847 Europe jilan (Europe) 16 32 18 208
2777 2765 7 343,847 Europe jilan (Europe) 16 32 18 208
2778 2766 7 343,766 China idswzy (China) 15 31 2 142
2778 2766 7 343,766 China idswzy (China) 15 31 2 142
2779 2767 7 343,757 Malaysia ghost (Malaysia) 15 32 18 313
2779 2767 7 343,757 Malaysia ghost (Malaysia) 15 32 18 313
2780 2768 7 343,748 Indonesia cahya (Indonesia) 17 31 14 352
2780 2768 7 343,748 Indonesia cahya (Indonesia) 17 31 14 352
2781 2769 7 343,733 Republic of Korea Refresher (Republic of Korea) 14 32 4 119
2781 2769 7 343,733 Republic of Korea Refresher (Republic of Korea) 14 32 4 119
2782 2770 7 343,659 United States shane (United States) 14 32 0 190
2782 2770 7 343,659 United States shane (United States) 14 32 0 190
2783 2771 7 343,571 Germany grinser (Germany) 17 32 15 205
2783 2771 7 343,571 Germany grinser (Germany) 17 32 15 205
2784 2772 7 343,433 United Kingdom Deano (United Kingdom) 16 32 4 177
2784 2772 7 343,433 United Kingdom Deano (United Kingdom) 16 32 4 177
2785 2773 7 343,401 Europe Gino Gino Pilotino (Europe) 14 32 0 255
2785 2773 7 343,401 Europe Gino Gino Pilotino (Europe) 14 32 0 255
2786 2774 7 343,389 South Africa mc (South Africa) 21 31 17 252
2786 2774 7 343,389 South Africa mc (South Africa) 21 31 17 252
2787 2775 7 343,309 Italy giiek (Italy) 16 31 6 204
2787 2775 7 343,309 Italy giiek (Italy) 16 31 6 204
2788 2776 7 343,219 Sweden peter (Sweden) 16 30 10 354
2788 2776 7 343,219 Sweden peter (Sweden) 16 30 10 354
2789 2777 7 343,207 United Kingdom Father Fil (United Kingdom) 19 31 15 154
2789 2777 7 343,207 United Kingdom Father Fil (United Kingdom) 19 31 15 154
2790 2778 7 343,177 France ma chérie (France) 19 32 11 476
2790 2778 7 343,177 France ma chérie (France) 19 32 11 476
2791 2779 7 343,143 Thailand ICE (Thailand) 15 32 6 235
2791 2779 7 343,143 Thailand ICE (Thailand) 15 32 6 235
2792 2780 7 343,122 Germany Alo (Germany) 22 31 2 99
2792 2780 7 343,122 Germany Alo (Germany) 22 31 2 99
2793 2781 7 343,118 Denmark lasseha (Denmark) 14 32 14 160
2793 2781 7 343,118 Denmark lasseha (Denmark) 14 32 14 160
2794 2782 7 343,047 France Marion (France) 13 32 7 205
2794 2782 7 343,047 France Marion (France) 13 32 7 205
2795 2783 7 342,996 Australia jj (Australia) 12 32 18 255
2795 2783 7 342,996 Australia jj (Australia) 12 32 18 255
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