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- Dec 19, 2009
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Okay, so what definition were you using when you came up with that? Because, it is apparently not a definition that includes two close range throws or fairly analyzes the current definition.
The connection is there. It may not be as obvious as using the mode or average, but I think it better represents the definition than either of those - or anything else I've heard of.
I started with "As determined by the Director, the score an expert disc golfer would be expected to make on a given hole with errorless play under ordinary weather conditions, allowing two throws from close range to hole out."
First, I ignored the "As determined by the Director" part, because I wanted to find a way to look at hole scores and find out what score would be expected.
I used a composite 1000-rated player (NOT all players rated 1000 and above) as the expert, because that way I could have a standard reference across all courses even if the mix of players was different.
As has been pointed out earlier, I did not make any special provision for "allowing two throws from close range to hole out". This phrase does not imply adding two to anything. If close range is where you expect to throw two more times, then this phrase just "allowed" the last two throws - they overlap two throws that are already there. As has been pointed out, the number of throws that actually are made within close range is not always exactly two. So, to exactly match the definition, I would have needed to use the actual score, minus the throws that were made from close range, plus two. However, there is no way to figure out how many throws were actually made from within close range. Two seems like a good estimate. My method needs to be practical, and using two requires no adjustments to scoring data.
Because I don't have weather data, I also relied on the expectation that most rounds are held under ordinary weather conditions, and if not, over several rounds of data, the good scores would be those that happened in ordinary weather, and it's only the good scores that figure into par. In some cases, like last year's USDGC, where I knew the weather was not ordinary I didn't use that data.
I am quite comfortable with using "top X% of all throws" as a way to get a number to attach to errorless play. Errorless play is certainly some subset of all throws. It's not much of a stretch to say the errorless throws resulted in the low scores. Given a percentile that represent errorless play (including better than errorless play), the score an expert disc golfer would be expected to make on a given hole just pops out.
What I like most about it is that it generates pars that take an equally high level of play to achieve across all pars. As equal as possible.