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Let’s face it, despite decades of data and statistical analysis to lean on, players, coaches and GMs alike continue to fall into predictable behavioral traps when it comes to decision making.
Let’s face it, despite decades of data and statistical analysis to lean on, players, coaches and GMs alike continue to fall into predictable behavioral traps when it comes to decision making – whether it’s wasting timeouts, being overly conservative on 4th down, or overpaying for a high draft pick. Hear from a Nobel Prize winning economist, a baseball historian and statistician, an NBA General Manager and a seasoned sports executive as they discuss and debate some of the most common decision making pitfalls made by teams and how they can be avoided.
When COVID-19 brought live sports to a halt in early 2020, NASCAR and iRacing adjusted in real time to fill the void with the eNASCAR iRacing Pro Invitational Series. In this session, NASCAR Chief Digital Officer Tim Clark will go behind the scenes to share how televised virtual races featuring the sport’s biggest stars kept fans engaged, drove value for sponsors and introduced NASCAR to new audiences.
With thousands of sensors on their catamarans and millions of data points, SailGP has a unique opportunity to advance the sport of sailing with technology. In this session, learn how SailGP combines vast data sets with Oracle Cloud technology to steer teams quickly, improve performance, and enhance their fan experience.
"… all models are wrong; the practical question is how wrong do they have to be to not be useful.” (George Box) Athletic departments at schools with under-enrollment have been caught in a bad-model trap, where the NCAA's accounting conventions lead them to make harmful economic decisions in the false belief they are cutting costs. Andy Schwarz (PCL, OSKR) works through why the accounting gets the economics so wrong, provides detailed examples from schools that have made mistaken cuts in 2020, and outlines a solution to avoid these errors going forward.
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