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#11 |
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Join Date: Apr 2009
Forum ID: 2066
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Yep Gooser , what you say makes a lot of sense to me.
I may be over training but i dont know where that starts or stops. Never have looked into it , i guess i have a new task now.
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Last edited by Utvol1982; 07-22-2010 at 07:20 PM. |
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#12 |
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Global Moderator
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Translation: My team lost a game after training. Randomness is too high.
Even teams like the Royals blow out teams on occasion. To paraphrase DarkElf, don't put too much stock into one game. |
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#13 | |
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Join Date: Aug 2007
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Quote:
The PL1 standings are just one of many results backing Smith's theory. Gooser's PL1 team is 10-2 and the PL2 Neener Beaners are 7-1. Other than that, you have to search the PLs pretty hard to find a team with fewer than 3 losses. It's because the good teams aren't dominating... because the randomness is high.
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Cardinals XsT (3339) Cardinal Legends (518572) Screaming Eagles XsT (1113) Last edited by redbirds33; 07-27-2010 at 08:42 AM. |
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#14 |
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Global Moderator
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I will grant that my translation is an oversimplification and a bit of an unfair jab, but is randomness really at an all-time high? I don't think your example of "the good teams [not] dominating" is sufficient evidence. Perhaps the teams are just more equal this season. And it stands to reason that equally talented teams would beat each other as often as they get beaten.
I find it funny that people seem to assume that if they beat such-and-such team that they should automatically beat (or at least not get blown out) if they play the same team immediately again. And if they do get blown out it's "randomness is too high!" We see this in real sports too on occasion where one team will win by 7 runs one night and then the next night will lose by 5 to the same team. Is reality's randomness too high? |
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#15 |
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