yep. With so many hunt codes that are, in a lot of cases, wildly different in both tags and applicants, you are spot on.
For Example/Exhibit:
See below
View attachment 185292
- Ram Tags only
- Only 1st choice apps at 3+0 and above
- 4001 1st choice apps fit that criteria (1993 applicants for Point only, including the lone 21-point NR)
- So - "Simple" odds overall were 22/4001 = 0.55% (not good)
Because the pool of tags is so small and individual hunt code applicant numbers varied from a low of 35 to a high of 417 (and each hunt code has 1 NR tag), I'd say the data is less solid at an individual point level than, for example, Resident Moose.
But in broader terms - the 'midpoint' of applicants in this model is about 3+4 (meaning ~ half the applicants applied with 0->4 points and about half applied with 5->20 points).
3+0 -> 3+4 = Drew 1 tag
3+5 -> 3+20 = Drew 21 tags
*Disclaimer = I am NOT a statistician nor what I'd consider a data modeling expert. I do hire a lot of the latter and try and keep up with their big brains. I am having a cocktail at a hotel, but it's not a Holiday Inn Express.