EPTDo you macro like a pro? - Page 32
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Maenander
Germany4926 Posts
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DrShaiHulud
United States14 Posts
Alas you did not record which matchup each game was, only the race of one of the players. It would have been even more awesome if that was in the data so one could tease out matchup specific effects that vanish when we average over all matchups of a single race. I would love it if someone made a website where people could submit information like this for aggregation, even with self-selection it would fascinate me! | ||
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IMNotMvp
Korea (South)530 Posts
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figq
12519 Posts
On September 17 2011 16:37 rauk wrote: Your last sentence has a couple of things wrong:there are obviously gaps between the leagues, you just don't know how to read the graph. the overlapping parts are at very low game counts, so essentially the fewer games there are, the more likely the leagues are to overlap. as you increase the sample size, the gaps become more distinguished. 1. There's no such implication here: fewer games -> more likely to overlap 2. There's only one sample size here - of the whole study. And we can only assume if it is increased that the curves will scale proportionately. What you meant to re-iterate with that sentence is that the overlap is relatively small to the overall sample size. That is obviously true, but it still exists and is not negligible. And even more so the closer the leagues are. Whereas to claim gaps would mean that two neighboring leagues (the closest) do not overlap at all. Which would be practically impossible by any measure, not just SQ. Luckily, the OP doesn't claim that at all. | ||
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seiferoth10
3362 Posts
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kedinik
United States352 Posts
On September 17 2011 16:00 Ghanburighan wrote: I don't see the problem. This is an average measure, and if you compare a 9 minute game of a bronzie where he hits a 3 rax timing attack (just over 600) to a GM micro-intensive game long game, it's much more likely for that bronzie to get a higher score on that one game. It's just a very small number of games. Also, some good players get accounts that they need to play out of bronze, so those 30ish games would contribute to the overlap too. I guarantee, 100%, that no legitimate bronze league player can out-macro a GM for even 2 solid minutes. Even during the best game of his life against a GM who is drunk off his ass, an accurate comparison of any relevant metric would show them to be night and day. The SQ just seems to loosely correlate to macro and skill without really measuring or displaying anything truly insightful, valuable or accurate. | ||
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Chaosvuistje
Netherlands2581 Posts
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spidercrumbs
United States23 Posts
I checked my SQ over my last 12 games (I played 2 games after I first did calculations) and I averaged a ~46 which is consistent with my bronze ranking according to your analysis. | ||
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VonDarkmore
Australia192 Posts
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Ciraxis
Australia400 Posts
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StiX
Netherlands220 Posts
Even though I only understand half of it!  | ||
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rauk
United States2228 Posts
On September 17 2011 17:18 figq wrote: Your last sentence has a couple of things wrong: 1. There's no such implication here: fewer games -> more likely to overlap 2. There's only one sample size here - of the whole study. And we can only assume if it is increased that the curves will scale proportionately. What you meant to re-iterate with that sentence is that the overlap is relatively small to the overall sample size. That is obviously true, but it still exists and is not negligible. And even more so the closer the leagues are. Whereas to claim gaps would mean that two neighboring leagues (the closest) do not overlap at all. Which would be practically impossible by any measure, not just SQ. Luckily, the OP doesn't claim that at all. ? you've got to be trolling me. the y axis of the graph is the number of games. as the number of games go up, the less two different leagues will overlap on the SQ x-axis. the OP appears to have not gone with the same number of games per league, which makes the graph a little visually misleading. as you increase the sample size per league, ie the number of games played, eg as you go up the y-axis, you can can see how the average SQ increases, and that the difference between the average SQ for each league starts to widen. | ||
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zanmat0
188 Posts
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straycat
230 Posts
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Velatrix
Germany37 Posts
Protoss Player Masters at EU Gonna do the same on my NA acc ^^ rly awesome work | ||
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killerdog
Denmark6522 Posts
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skiptomylou1231
United States63 Posts
On September 17 2011 18:04 straycat wrote: How is the Average Unspent Resources calculated? It's available when you click Economy Breakdown | ||
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reneg
United States859 Posts
As for everyone asking for this information from the get go, that's basically what your league is supposed to provide. If you're in plat, you spend money like a plat player, etc etc. I feel like including more unnecessary things on your profile page would turn more people off from laddering as it is, because people will hit a streak of 5 games or something where they're feeling really good, then stop laddering because they're afraid their "Spending Quotient" is going to plummet. But still, absolutely fantastic work and we all obviously like what you've done | ||
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aebriol
Norway2066 Posts
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blackbrrd
Norway477 Posts
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