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Message
the true positions of the NBA
Posted on 6/6/13 at 3:59 pm
Posted on 6/6/13 at 3:59 pm
Stolen from the MSB
LINK
For those who don't like to read, here's a TED talk video about it LINK
quote:
Two years ago, Alagappan was an intern at Ayasdi, a Palo Alto-based startup company, using the company's proprietary software to tackle complex problems such as cancer research and accelerated drug discovery.
On a lark, he asked his boss if he could see what the software would do with basketball stats. Within an hour, the program spit out clusters of color-coded notes that Alagappan now calls "the true positions of the NBA."
His discovery has opened up a whole new basketball debate -- a Pandora's box-and-one, if you will. Alagappan argues that basketball's traditional five positions are as outmoded as James Naismith's peach basket, insisting instead that there are at least 10 distinct positions.
And he has the topological data analysis to prove it.
"The positions are kind of the alphabet by which everything around basketball revolves," Alagappan said. "If we can redefine the alphabet in terms of these 10 or 13 positions, then we can hopefully
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change all of the strategy that the game is built on."
LINK
For those who don't like to read, here's a TED talk video about it LINK
Posted on 6/6/13 at 4:00 pm to TigerinATL
great piece TigerinATL. Who are you?
Posted on 6/6/13 at 4:01 pm to TigerinATL
This is why I respect this dude as a poster.
Posted on 6/6/13 at 4:08 pm to jamal
fwiw, it's been posted about for months on the MSB
Posted on 6/6/13 at 4:16 pm to SlowFlowPro
It's really not all that new of a concept either regarding positions either. The only thing this guy did differently was he datamined nba stats to see what the distinguishable roles were.
Posted on 6/6/13 at 4:17 pm to TigerinATL
it's cool seeing the distributions of the data in visual terms
i love the "all NBA" and "all nba 2nd" positions
i love the "all NBA" and "all nba 2nd" positions
Posted on 6/6/13 at 5:10 pm to TigerinATL
Cool read. Like you say, nothing particularly groundbreaking in the overall concept, but very interesting use of the data.
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