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Cube error rates

Posted By: Fabrice Liardet
Date: Friday, 24 July 2009, at 10:43 a.m.

In Response To: Cube error rates (Gregg Cattanach)

Based on these cumulated errors of each player one can compute how likely one player is to win the match. For example if player A cumulated errors of 10% and player B cumulated errors of 20%, player A will win 60% of the matches (50 + 20 - 10) if both players will average the same amount of errors for each match.

Well my intent was not to make a case against Snowie, but unless I am tricked by my not knowing English well enough, the quoted description of the Snowie doc is just wrong. The formula does not compute how likely one player is to win the match. Player A will win less than 60% of the matchs in the situation described.

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