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Sport law by the numbers
Book chapter

Sport law by the numbers

Sport Analytics, pp.179-194
Routledge
2017

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Abstract

Imagine you are the general manager of a semi-professional baseball team. You want to minimize the amount of liability you have from fans being hit by foul balls and broken bats. That represents the problem to be researched. The data to help answer that problem could be gathered from incident reports from fans previously hit by foul balls, feedback from ushers, information from other teams, facility executives, information from the league offices, insurance companies, newspaper/internet stories about fan experiences, and numerous other sources of information. At that point you have to decide what the real risks are, if any, and then what strategies can be utilized to minimize the risks. Strategies could include, what is often called, the layering technique: screening the most dangerous part of the ballpark, putting a warning notice on the back of a game ticket, announcing a warning on the public address system, posting a warning on the scoreboard, having signs prominently displayed, and having ushers personally warn fans as they initially sit and throughout the game (Fried, 2015). These strategies might have worked in the past or show promise for the future. Data can be leveraged to see what really works rather than just throwing numerous strategies at a problem to see if something works. The team would not need to follow each strategy, but the more appropriate strategies they implement (i.e. the right strategies derived from data) the greater is the likelihood that people will be effectively warned, protected, and will hopefully not be injured and/or sue for any injuries. This is just one example of sport law/risk management as well as representing an overlap with facility and event management. Sport law is not an isolated area, but there are numerous points where data can impact sport law.

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