But when a team performs this poorly, should you trust your analytical process or question it? The 10th annual SSAC, held this year on March at the Boston Convention and Exhibition Center, drew 3, attendees from 32 countries, most of whom love using numbers to question conventional sports wisdom. Researchers presented the top eight papers before large crowds. New recording blends old Europe and contemporary Cambridge Software finds the best way to stick a Mars landing Study: Please email Ardis at aeliason telus. Curry is also playing the percentages.
After all, Curry is making 46 percent of his three-pointers this season, the equivalent of shooting 69 percent from two-point range. And the Warriors, the best team in the NBA, are making a league-leading But no NBA team is making more than 53 percent of its two-point shots this year. Being a top three-point shooting team is more efficient than being a top two-point shooting team, an argument basketball analysts have been making for years.
Now the game of basketball, embracing three-point shooting like never before, has caught up with its theorists. The 10th annual SSAC, held this year on March at the Boston Convention and Exhibition Center, drew 3, attendees from 32 countries, most of whom love using numbers to question conventional sports wisdom.
One way to look at sports analytics is as a series of battles over the right way to understand sports. You might call these the games within the games, and they were fully on display at SSAC in Sports analytics thrives in part because of the ethos that sports are best understood from the outside. Much of the groundbreaking work in sports analytics has come from avid fans not beholden to tradition. After all, old-school baseball people have never resisted analytics quietly.
But James, who faced decades of resistance to his ideas, observed how anomalous such rants now seem. SSAC embodies a major shift in the field: The outsiders have become insiders.
Yet they have stuck to an analytics-friendly mantra: But when a team performs this poorly, should you trust your analytical process or question it? That question was the subject of some colorful remarks at SSAC this year by Jeff Van Gundy, the high-profile former NBA coach and now announcer, who coached the Rockets for a few years under Morey and has used analytics on the job.
That can sound like anathema to analytics people — but if a supposedly analytical approach is not working, Van Gundy insisted, then the results should be used to provide feedback about that process. The truly analytical mindset, he implied, is to keep questioning your ideas. Bill James, among others, used to make his models freely available to readers. Contemporary analysts are less apt to do so, and baseball has since become littered with proprietary numbers like the controversial Wins Above Replacement WAR.
So debate continues in sports analytics about whether open access helps the state of knowledge, or whether secrecy is more beneficial. This year at SSAC, one prominent analytics guru offered yet another viewpoint, when asked if data should be more freely open.
Take Expected Goals, a now-popular metric that estimates how many goals a soccer team would normally score, given the quantity and quality of their shots. Such relatively simple shot-based metrics seem to have solid predictive value about team performance over the remainder of a given season.
As desirable as loads of open data may be, there are still opportunities to do more with less. Researchers presented the top eight papers before large crowds.
Among the four finalists: The paper presented an automated method for analyzing the ways basketball teams defend ball screens. Midget tryout dates are September This is preliminary information only. The website will be updated periodically so please continue to check back for updated information.
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