I've been refining my newest method (expectational par) which selects whichever par results in the highest expectation of normal throws underlying the scoring distribution. I'm comparing it to the Errorless method, as well as to the par people set for a hole, knowing its scores and stats.
That's where you come in – what par would you give these holes, and why?
For this test, I used all the Idlewild MPO players as "experts" so the course statistics from Udisc could be used without adjustment. So, we're setting par for the field here, not 1000-rated players. The average rating was 977, so it's about halfway between Gold and Blue.
For most holes, both errorless par and expectational par came up with the same par. Both came up with a total par of 65. I'll post stats for the holes where there are differences. For discussion. One at a time.
Hole 2, with 3=41%, 4=37%, 5=17%, 6=5% came out as par 4 using errorless, and par 3 using expectational.
Par 4 errorless implies the top 94% of throws were errorless, while par 3 would imply the top 74% of throws were errorless.
Using the expectational method, par 3 - with 26% errors - generated a higher chance of normal throws than par 4 with 6% errors, 23% heroes, and 3% double errors. 74% normal @ 3 vs. 70% normal @ 4.
Udisc stats were: Average = 3.89, OB=0.19, FWH=81%, c1 in 2=48%, c2 in 2=57%, Scr.=50%, Parked=17%.
This seems like an obvious par 4, it has a 3.86 average and median score of 4. Maybe slightly easy for a par 4, but still a par 4.
Once again I will raise the question I raised earlier. What is the logic behind going with the score that generates the most "normal" throws? Certainly a distribution that includes the full range of shots is more realistic than one that only includes errors and normal throws. Especially considering more traditional statistics support a par 4.