During Kobe’s “hot streak,” I’ve been writing that he’s actually inefficient compared to Andrau Gasnum, the Lakers’ superb tw0-man post presence. I’ve said that he should give up some shots until his efficiency equalizes with Gasnum’s. Adrian the Canadian was quick to send me a Sloan Sports Analytics Conference paper arguing that teams might equalize offensive efficiency too much already. The author (Brian Skinner) uses some network theory for unknown reasons (it’s not related to his point), but the paper boils down to Continue reading
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Stop Kobe before he shoots again; gearing up for the Sloan Sports Analytics Conference
My apologies for missing the last couple days on the blog, but don’t worry, I was hard at work on two projects that I’ve just submitted with a couple other guys to the Sloan Sports Analytics Conference. I’ll have more to say about them soon — one project looks at the effects of temperature, rest time, and turf type on MLS games, and the other examines the true value of winning the NBA draft lottery and measures how much tanking really goes on in the NBA.
In the meantime, Kobe Bryant is lighting up scoreboards and shot charts. He must be reading this blog, but I think all I did was make him angry. He’s taken 31 shots in each of the last three games and managed 40 points in all of them. Reading the ESPN write up from the last one, it looks like we have our new MVP.
However, over those games he’s made 47 shots for a Continue reading →
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Posted in Basketball, Commentary, Probability Analysis
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