Leaderboards - automatic re-categorisation of performances to 'E-bike' I am an athlete who has always used leaderboards as a motivational tool.As I get older, I have focused more on the age-related boards. Having crossed the age boundary into 55+, all the hills that I target are heavily populated by mis-categorised ebike rides. I appreciate that the AI tool is looking for obvious cheats/mistakes, perhaps a KOM in a car.For the E-bike problem I see, I suspect it is largely about more casual riders and ignorance of the rules. I see consistent patterns in the data: Low athlete activity levels, recorded on a phone, no HR/power data, cups on hills (but no other segments) slow times on all key metrics 5k, 10k, etc. My suggestion is that you set a performance threshold and automatically recategorise all rides that meet it. For example, given the E-bike issue (in Europe maybe not the US) is largely around hills, it would be simple to set a transparent rule that if you acheive, say, a VAM of over 1,000 on a segement and you don
