FES Results
Race 1
Race 2
Race 3
- 1.
20030s20026s20028s20029s20029s20031s20032s20026s20024s20026s20026s20027s20034s20027s20024s20025s20025s20025s - 2.
20031s20028s20033s20037s20036s20041s20032s20027s20029s20030s20030s20031s20032s20027s20026s20030s20033s20034s - 3.
20028s20026s20032s20033s20036s20038s20028s20025s20031s20034s20039s20039s20028s20026s20030s20034s20038s20038s - 20029s20022s20025s20037s2001m 31s2001m 33s20031s20024s20025s20030s20048s2001m 23s20030s20028s20028s20031s20034s20047s
- 20028s20025s20028s20037s17045s0DNF20036s20029s20028s20034s20046s2001m20035s20030s20027s20033s20043s2001m 7s
- 2001m 33s2001m 39s2001m 36s2001m 47s1441m 24s0DNF2001m 30s2001m 41s2001m 28s2001m 46s1661m 34s0DNF2001m 30s2001m 37s2001m 51s2002m 1s1511s0DNF
- 20047s2001m 26s2002m 44s2002m 41s2422s0DNF2001m 8s2002m 24s2002m 7s2001m 45s5036s0DNF2001m 20s2003m 14s2002m 6s1301m 20s0DNF0DNF
- 1461m 47s0DNF0DNF0DNF0DNF0DNF1551m 41s0DNF0DNF0DNF0DNF0DNF2002m 2s97s0DNF0DNF0DNF0DNF
- 568m0DNF0DNF0DNF0DNF0DNF568m0DNF0DNF0DNF0DNF0DNF728m0DNF0DNF0DNF0DNF0DNF
= Highest score
= Best obstacle time
= Obstacle passed
= Did not finish
For further information check out the detailed CYBATHLON 2020 Global Edition’s Races and Rules
About the Competition
At the CYBATHLON 2020 Global Edition, the teams mount their trikes on a roller trainer. All teams use the same roller trainer model. The pilots have the task to complete the competition distance of 1'200 meters within the maximum time of 8 minutes stationary on the roller trainer. Whoever gets the furthest in the shortest time wins the race. The pilots can control the power supply to the muscles themselves and thus regulate their speed in relation to their endurance.
Inclusion criteria for pilots
Only pilots with complete paraplegia and bicycles without a motor are allowed to participate.
New challenges for 2020
The race distance has been increased from 750 to 1'200 meters compared to the CYBATHLON 2016. This distance must be covered in the same available time of eight minutes, which requires an increase in efficiency compared to 2016.
