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Stopped reading after it said the SSA changes after every round lulz
It would be hard to ever determine for sure the contribution of different factors. The point is this combination of differing factors exists and virtually always influences scores in the same direction.It makes sense, as far as it goes, but I suspect there are other factors in the SSA difference between league and tournament play. Among these are
---pace of play, thus a longer time between shots, thus harder to stay in a groove.
---a lot more local players, very familiar with the course, in league play.
---and perhaps something else that hasn't come to mind yet.
Stopped reading after it said the SSA changes after every round lulz
I'm actually most interested in a side-topic that the article didn't mention: the impact of the lower SSA's of league rounds on the ratings points-per-throw (i.e. the overall scoring spread of the rounds). In the PDGA system, the overall slope of the ratings (the 'points-per-throw') is computed solely based on the SSA of the round, with a pair of linear formulas converting SSA to points-per-throw (i.e. a lower SSA produces a smaller points-per-throw value). Do the formulas the PDGA system uses hold up under these kinds of SSA differences? Does the difference in SSA observed between league and tournament rounds produce an equal linear effect on the observed slope of the scoring spread? i.e. Are the league rounds, in addition to producing a lower SSA value, producing a lower overall scoring spread?
Does the difference in SSA observed between league and tournament rounds produce an equal linear effect on the observed slope of the scoring spread? i.e. Are the league rounds, in addition to producing a lower SSA value, producing a lower overall scoring spread?
A smaller SSA will produce a narrower scoring spread (of actual scores) just because there are fewer throws to be spread around.
I'm actually interested in proving that, though. The PDGA system actually pegs a linear equation to the effect, and I want to know that the particular linear equation they use is the mathematically correct one. i.e. is the relationship between SSA and narrowing scoring spread purely based on there being fewer throws to to spread around? Or could there be other variables at work too? The PDGA method assumes there are none, and data like this (the same layout producing two different SSA's) as well as the data you mentioned (two different layouts producing the same SSA) should both be useful in trying to determine if the PDGA method is accurate or not.
..is the relationship between SSA and narrowing scoring spread purely based on there being fewer throws to to spread around? Or could there be other variables at work too?
What other variables are possible? And how would you incorporate them into the ratings?
The model is accurate because the bullies that created it said so. The rating system is a joke. I could have two entry level employees create something in a couple of hours that makes more sense.
I don't think I've heard anyone proclaim that the current system can't possibly be improved upon,
I'd like to hear what specificily is wrong with the current rating system is wrong or needs fixing.
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It's similar to comparing your speed difference above the limit when you actually see a cop versus your speed difference above the limit on a stretch of road where you've seen occasional traps, and your speed difference above the limit where it's unlikely a cop will ticket you (i.e. going 70 in a 55 zone around Chicago) or have a radar detector. These are different levels of pressure on your "performance."...but why can't we just have like...a number that's par and we're good if we shoot under it and not good if we shoot positive? And with no par 2's cuz that's a joke? And no matter the weather impacts it should still work...
Interesting article, makes sense. Unfortunately it also confirms that if I shoot a hot round one afternoon it's probably not what I'd do if there was pressure...