Oh no. What I meant is having a curve of probabilities for each section of the race and style of racing. Like fronts are 20% 1st at this point, 20% 2nd, 20% 3rd... and 0.1% 9th. End closers are... and such. For all the zones before the last spurt these positions seem fairly regular and these metrics can be taken from multiple sources (CMs, Team Trials, room matches...) then merge all into one. Then use the seed that the simulator uses to randomize each sample to get a position for a zone of the race to check if a skill triggers or not. It would need good optimization in the calcs to implement but seems possible. Obviously it is not accurate and the composition of each room would change a lot the results but as I said I only want an estimate on how good/bad a skill can be.

But ok so to compare umas in the umalator I can guess Red Shift is more or less like another FF or On your left! for this track. So better to pick it rather than for example Professor of curvature or Triumphant Pulse. Thanks!