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# RANK LEVEL SCORE nickname (playing from) medals boxes stops used crashes
3571 3542 7 311,192 Netherlands Fric (Netherlands) 19 28 9 163
3571 3542 7 311,192 Netherlands Fric (Netherlands) 19 28 9 163
3571 3542 7 311,192 Netherlands Fric (Netherlands) 19 28 9 163
3571 3542 7 311,192 Netherlands Fric (Netherlands) 19 28 9 163
3572 3543 7 311,002 France enzo (France) 21 28 14 534
3572 3543 7 311,002 France enzo (France) 21 28 14 534
3572 3543 7 311,002 France enzo (France) 21 28 14 534
3572 3543 7 311,002 France enzo (France) 21 28 14 534
3573 3544 7 310,638 United Kingdom Ivan (United Kingdom) 12 28 0 93
3573 3544 7 310,638 United Kingdom Ivan (United Kingdom) 12 28 0 93
3573 3544 7 310,638 United Kingdom Ivan (United Kingdom) 12 28 0 93
3573 3544 7 310,638 United Kingdom Ivan (United Kingdom) 12 28 0 93
3574 3545 7 310,451 China pan (China) 13 29 18 238
3574 3545 7 310,451 China pan (China) 13 29 18 238
3574 3545 7 310,451 China pan (China) 13 29 18 238
3574 3545 7 310,451 China pan (China) 13 29 18 238
3575 3546 7 310,286 Brazil rodrigotini (Brazil) 16 28 18 273
3575 3546 7 310,286 Brazil rodrigotini (Brazil) 16 28 18 273
3575 3546 7 310,286 Brazil rodrigotini (Brazil) 16 28 18 273
3575 3546 7 310,286 Brazil rodrigotini (Brazil) 16 28 18 273
3576 3547 7 310,223 United States Bracken (United States) 16 28 14 110
3576 3547 7 310,223 United States Bracken (United States) 16 28 14 110
3576 3547 7 310,223 United States Bracken (United States) 16 28 14 110
3576 3547 7 310,223 United States Bracken (United States) 16 28 14 110
3577 3548 7 310,203 United States TF12 (United States) 12 26 18 470
3577 3548 7 310,203 United States TF12 (United States) 12 26 18 470
3577 3548 7 310,203 United States TF12 (United States) 12 26 18 470
3577 3548 7 310,203 United States TF12 (United States) 12 26 18 470
3578 3549 7 310,170 Czech Republic Lidka (Czech Republic) 13 27 0 322
3578 3549 7 310,170 Czech Republic Lidka (Czech Republic) 13 27 0 322
3578 3549 7 310,170 Czech Republic Lidka (Czech Republic) 13 27 0 322
3578 3549 7 310,170 Czech Republic Lidka (Czech Republic) 13 27 0 322
3579 3550 7 310,149 Myanmar vw (Myanmar) 10 26 18 388
3579 3550 7 310,149 Myanmar vw (Myanmar) 10 26 18 388
3579 3550 7 310,149 Myanmar vw (Myanmar) 10 26 18 388
3579 3550 7 310,149 Myanmar vw (Myanmar) 10 26 18 388
3580 3551 7 310,095 India priya (India) 17 29 15 479
3580 3551 7 310,095 India priya (India) 17 29 15 479
3580 3551 7 310,095 India priya (India) 17 29 15 479
3580 3551 7 310,095 India priya (India) 17 29 15 479
3581 3552 7 310,024 Canada matt (Canada) 12 28 15 167
3581 3552 7 310,024 Canada matt (Canada) 12 28 15 167
3581 3552 7 310,024 Canada matt (Canada) 12 28 15 167
3581 3552 7 310,024 Canada matt (Canada) 12 28 15 167
3582 3553 7 309,962 Italy Andrew (Italy) 20 28 4 216
3582 3553 7 309,962 Italy Andrew (Italy) 20 28 4 216
3582 3553 7 309,962 Italy Andrew (Italy) 20 28 4 216
3582 3553 7 309,962 Italy Andrew (Italy) 20 28 4 216
3583 3554 7 309,882 United States JJ (United States) 12 29 2 88
3583 3554 7 309,882 United States JJ (United States) 12 29 2 88
3583 3554 7 309,882 United States JJ (United States) 12 29 2 88
3583 3554 7 309,882 United States JJ (United States) 12 29 2 88
3584 3555 7 309,862 Kazakhstan Алина (Kazakhstan) 13 27 7 179
3584 3555 7 309,862 Kazakhstan Алина (Kazakhstan) 13 27 7 179
3584 3555 7 309,862 Kazakhstan Алина (Kazakhstan) 13 27 7 179
3584 3555 7 309,862 Kazakhstan Алина (Kazakhstan) 13 27 7 179
3585 3556 7 309,831 Italy Alex (Italy) 12 28 0 223
3585 3556 7 309,831 Italy Alex (Italy) 12 28 0 223
3585 3556 7 309,831 Italy Alex (Italy) 12 28 0 223
3585 3556 7 309,831 Italy Alex (Italy) 12 28 0 223
3586 3557 8 309,730 Argentina madaooooo (Argentina) 17 29 8 365
3586 3557 8 309,730 Argentina madaooooo (Argentina) 17 29 8 365
3586 3557 8 309,730 Argentina madaooooo (Argentina) 17 29 8 365
3586 3557 8 309,730 Argentina madaooooo (Argentina) 17 29 8 365
3587 3558 8 309,661 United States Mule (United States) 14 29 0 317
3587 3558 8 309,661 United States Mule (United States) 14 29 0 317
3587 3558 8 309,661 United States Mule (United States) 14 29 0 317
3587 3558 8 309,661 United States Mule (United States) 14 29 0 317
3588 3559 8 309,644 Sweden Fernando (Sweden) 22 28 7 267
3588 3559 8 309,644 Sweden Fernando (Sweden) 22 28 7 267
3588 3559 8 309,644 Sweden Fernando (Sweden) 22 28 7 267
3588 3559 8 309,644 Sweden Fernando (Sweden) 22 28 7 267
3589 3560 8 309,636 United States Jonah (United States) 15 27 11 188
3589 3560 8 309,636 United States Jonah (United States) 15 27 11 188
3589 3560 8 309,636 United States Jonah (United States) 15 27 11 188
3589 3560 8 309,636 United States Jonah (United States) 15 27 11 188
3590 3561 8 309,606 Portugal Rolando (Portugal) 19 28 8 200
3590 3561 8 309,606 Portugal Rolando (Portugal) 19 28 8 200
3590 3561 8 309,606 Portugal Rolando (Portugal) 19 28 8 200
3590 3561 8 309,606 Portugal Rolando (Portugal) 19 28 8 200
3591 3562 8 309,601 China uuuu (China) 13 29 0 212
3591 3562 8 309,601 China uuuu (China) 13 29 0 212
3591 3562 8 309,601 China uuuu (China) 13 29 0 212
3591 3562 8 309,601 China uuuu (China) 13 29 0 212
3592 3563 8 309,551 Europe silvia (Europe) 16 28 5 341
3592 3563 8 309,551 Europe silvia (Europe) 16 28 5 341
3592 3563 8 309,551 Europe silvia (Europe) 16 28 5 341
3592 3563 8 309,551 Europe silvia (Europe) 16 28 5 341
3593 3564 8 309,421 Philippines curlytops (Philippines) 14 29 3 318
3593 3564 8 309,421 Philippines curlytops (Philippines) 14 29 3 318
3593 3564 8 309,421 Philippines curlytops (Philippines) 14 29 3 318
3593 3564 8 309,421 Philippines curlytops (Philippines) 14 29 3 318
3594 3565 8 309,413 India yugal (India) 20 28 2 244
3594 3565 8 309,413 India yugal (India) 20 28 2 244
3594 3565 8 309,413 India yugal (India) 20 28 2 244
3594 3565 8 309,413 India yugal (India) 20 28 2 244
3595 3566 8 309,387 Egypt etch (Egypt) 17 28 15 291
3595 3566 8 309,387 Egypt etch (Egypt) 17 28 15 291
3595 3566 8 309,387 Egypt etch (Egypt) 17 28 15 291
3595 3566 8 309,387 Egypt etch (Egypt) 17 28 15 291
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