DoubleDrewski
Senior Squid
In a thread earlier today, I discussed the potential of an alternative to divs. You can read that thread for specifics, but basically People love LUTI for the measuring stick of divisions, but dislike the gaps between the seasons (which, as discussed there, cannot be narrowed for well-established practical reasons). Anyways, the whole thread has me wondering if, perhaps, divs could be supplanted by a system based on results in reputable tournaments, with those results weighted heavier based on how impactful and/or reputable the tournament is. I mentioned how I was drawing inspiration from complex sports statistics, which aim to combine many stats into a single, meaningful one.
Sorry if this seems very barebones, but it was suggested I make this thread for potential ideas and/or to gauge interest in the concept
Heres the skeleton I've devised thus far:
Take a glicko-2-esque system, where results against teams at varying degrees above and below your level are more or less impactful on your score
For a given team compile every result from qualifying tournaments and take 3 data points:
(new score) = (previous score) + (reputability) * ( [Skill value] - [previous score] )
This is very, very rudimentary, but every idea has to start somewhere, right? In the near future (this weekend at the latest) I'd like to see if I could do a test run by scraping data from sendou, but input about any part of the idea (or how I may go about efficiently scraping data specifically, I know python) would be appreciated. Commentary/criticism welcome, or even just a "this seems cool and I'd be interested in seeing it come to fruition." Thanks for hearing me out!
TL;DR I have an idea for a formula based concept that could be more universal than LUTI divs. Whaddya think?
Sorry if this seems very barebones, but it was suggested I make this thread for potential ideas and/or to gauge interest in the concept
Heres the skeleton I've devised thus far:
Take a glicko-2-esque system, where results against teams at varying degrees above and below your level are more or less impactful on your score
For a given team compile every result from qualifying tournaments and take 3 data points:
- The "reputability" of the tournament (Take the IPL as gospel, whereas small tournament results are relatively untrustworthy)
- The placement of the team in that tournament
- the skill level (quantified) of that placement. This could either be derived by a TO, or, with time, by the average rating of the teams in that tournament (if enough data were available)
(new score) = (previous score) + (reputability) * ( [Skill value] - [previous score] )
This is very, very rudimentary, but every idea has to start somewhere, right? In the near future (this weekend at the latest) I'd like to see if I could do a test run by scraping data from sendou, but input about any part of the idea (or how I may go about efficiently scraping data specifically, I know python) would be appreciated. Commentary/criticism welcome, or even just a "this seems cool and I'd be interested in seeing it come to fruition." Thanks for hearing me out!
TL;DR I have an idea for a formula based concept that could be more universal than LUTI divs. Whaddya think?