Is everyone with the same name listed in the file under my account OR is it possible that there are multiple people with same name in my actual account?
Hmm, perhaps the word “rank” implies ordinal, i.e., percentile. Shortfall of the current system is that it’s commonplace to see runners with 75% rank that appear in the top 10% of all their races. But every race they do has a 3-sigma deviation first place result which skews everyone’s “rank” to the right. Why doesn’t Ultra Signup use percentile? (Also include DNFs in said percentile, because if someone finishes 50/50 on a 100-entrant race with 50 DNFs, their percentile should be 50% not 0%.)
have you ever thought of weighting rankings by various factors? for example (a) more recent races carrying more weight than older races , (b) bigger (and presumably therefore more competitive) races carrying more weight than smaller races or (c) throwing out “outliers” just like you throw out DNFs (eg if 90% of a runner’s scores are between 50% and 70% but they have, for example a 100% or a 20% ranking you would either throw out that score or discount it’s weight)
I’m 100% baby!
Is everyone with the same name listed in the file under my account OR is it possible that there are multiple people with same name in my actual account?
So why exactly is everyone ranked against the top finisher instead of against the field as a whole?
Hmm, perhaps the word “rank” implies ordinal, i.e., percentile. Shortfall of the current system is that it’s commonplace to see runners with 75% rank that appear in the top 10% of all their races. But every race they do has a 3-sigma deviation first place result which skews everyone’s “rank” to the right. Why doesn’t Ultra Signup use percentile? (Also include DNFs in said percentile, because if someone finishes 50/50 on a 100-entrant race with 50 DNFs, their percentile should be 50% not 0%.)
Great breakdown! Are there any videos or articles on how “Target” is calculated after registering for a race?
have you ever thought of weighting rankings by various factors? for example (a) more recent races carrying more weight than older races , (b) bigger (and presumably therefore more competitive) races carrying more weight than smaller races or (c) throwing out “outliers” just like you throw out DNFs (eg if 90% of a runner’s scores are between 50% and 70% but they have, for example a 100% or a 20% ranking you would either throw out that score or discount it’s weight)