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Ah, but you can't fool the algorithms!
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[QUOTE="MU in MKE, post: 4856072, member: 9984"] 3 points. 1. Most of the analytics models do not account for wins and losses of games, they are looking at [I]every single possession. [/I]That is what the numbers are based on, not the final score. This is why NET removed the margin of victory portion of their model (but in the case of NET, they did keep some portion for the game outcome, unlike Kenpom/Torvik/etc) This means you can play like crap and win, but still fall in efficiency numbers (and thus analytics ranking) or LOSE a game but have played really well and thus see ranking actually go UP after a loss. 2. The data is not taken inside a bubble. [LIST] [*]Most of these analytics take into account the level of the team you've played, and how they've done before and since you've played them. [*]Additionally, and perhaps more importantly on a day to day basis, other teams doing well/poorly can jump or fall below your team, even if your team hasn't played on a given day. [/LIST] 3. If you're concerned about outcomes of NET, remember that UConn's NET ranking doesn't matter to UConn. Don't worry what the NET is for this team, just focus on the teams the Huskies have played. The selection committee doesn't seed teams based on their NET, they use the NET of their opponents as ONE OF the tools to judge quality of a resume. [/QUOTE]
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Ah, but you can't fool the algorithms!
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