I have been collecting data about club members (strengths, attendance, etc.) for a little over a month. \u00a0The process is just in its early stages, but I hope to keep it up. \u00a0 I have this kind of information for about 14 people, though Josh has 26 people on his email list, so\u00a0I clearly have a lot of gaps. \u00a0If you are interested and have not already given me your data, I would be curious to get your full name, any AGA rating data you have, as well as on-line info (handle, rank, server, etc.)<\/p>\n
Still, I have enough to provide some preliminary summaries if people care. \u00a0I intentionally withhold all personal information in this summary.I’ve been collecting most of this information since just before the tournament (since Tuesday 4\/29\/08), five club meetings. \u00a0As I say, I have strength & attendance data for about 14 people, of which (since that date) we average an\u00a0attendance\u00a0of about 40% (5.6 people). \u00a0Our strengths range from 3d down to (perhaps) 22k-ish. \u00a0On any given Tuesday, you are almost certain to find at least one player 1d or above or 4k – 12k. \u00a0There’s also a small chance of finding a weaker player. \u00a0During the month I’ve collected data, no one between 3k and 1d has attended.<\/p>\n
We’ve played over 26 matches since 4\/29 at regular club meetings, and we average a bit over 2 games per person per meeting.<\/p>\n
I downloaded AGA ratings for all rated players in the US over the last two years and divided those into “kyu” and “dan” (this is a bit questionable because the\u00a0AGA rating system<\/a>\u00a0does not necessarily directly map into those rankings). \u00a0I created two histograms for each of these, including the mean and standard deviations for those data. \u00a0Again, the meaning of these summary data are at best complex (perhaps even dubious), as the distributions are decided non-Normal, but all’s fair in blogs and late-night number twiddling.<\/p>\n I then co-plotted some of the strengths of our members along the bottom of those plots. \u00a0You can see the\u00a0dan plot here<\/a>\u00a0and the\u00a0kyu plot here<\/a>\u00a0(these are small PDFs). \u00a0For our players, I used AGA information if I had it, otherwise I used the player’s self-professed rank, otherwise I used their ranking on an on-line service. \u00a0In one case (the 22k), I just speculated. \u00a0Of course we have many members whose strengths are not reflected, but I do not have their information (hint, hint).<\/p>\n Here are my conclusions: \u00a0From the kyu point of view, we have a strong club … most of our attending members are stronger than the average AGA player. \u00a0 From a dan point of view, we are more or less on par. \u00a0Moreover, we have a good diversity of strength attending most club meetings; however, our general\u00a0attendance\u00a0is low (hint, hint).<\/p>\n It would be nice to get feedback from those that do not attend: \u00a0Is it the location? \u00a0Is it the availability of a plethora of on-line services and players? \u00a0Is it the day of the week, the time, etc.? \u00a0Is it the presence of annoying and obsessive number-crunchers? \u00a0That sort of thing. \u00a0No nagging,\u00a0guilting, or arm twisting (okay, maybe some mild, good-spirited arm twisting) will be employed … just collecting useful information.<\/p>\n Thanks, \u00a0<\/p>\n","protected":false},"excerpt":{"rendered":" I have been collecting data about club members (strengths, attendance, etc.) for a little over a month. \u00a0The process is just in its early stages, but I hope to keep it up. \u00a0 I have this kind of information for about 14 people, though Josh has 26 people on his email list, so\u00a0I clearly have… Continue reading Go Orlando’s strength and attendance data<\/span><\/a><\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7,1],"tags":[],"class_list":["post-24","post","type-post","status-publish","format-standard","hentry","category-statistics-report","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/www.tesseract.org\/go-orlando\/wp-json\/wp\/v2\/posts\/24","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.tesseract.org\/go-orlando\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.tesseract.org\/go-orlando\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.tesseract.org\/go-orlando\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.tesseract.org\/go-orlando\/wp-json\/wp\/v2\/comments?post=24"}],"version-history":[{"count":0,"href":"https:\/\/www.tesseract.org\/go-orlando\/wp-json\/wp\/v2\/posts\/24\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.tesseract.org\/go-orlando\/wp-json\/wp\/v2\/media?parent=24"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.tesseract.org\/go-orlando\/wp-json\/wp\/v2\/categories?post=24"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tesseract.org\/go-orlando\/wp-json\/wp\/v2\/tags?post=24"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\nPaul.<\/p>\n