Sports : the numbers game.
In today’s world, computing technology has reached levels that, not that long ago, were only mentioned in science fiction. Due to the ever increasing power of computers; data and statistics are able to be collected and analysed in a matter of seconds, allowing organisations to execute strategies and increase productivity; from marketing ploys to staff management. Big data, telemetrics and predictive analytics have transformed the way the majority of contemporary organisations do business, “from the front end of stores to the upper levels of management” (Woodward, 2014). In this blog I would like to discuss how big data and new media have influenced the business of sport, both commercially and from a fans perspective.
The author of Moneyball, Michael Lewis, states in Siegel (2013, 11) that when “people operate with beliefs and biases to the extent you can eliminate both and replace them with data, you gain a clear advantage.” Whereas in years gone by young players were chosen to represent teams purely at the discretion of a coaches instinct, the professionalism of sports now demands young players be subjected to rigorous athletic testing, with every result collated and analysed to the nth degree. These results are then compared to data from as long as 15 years ago in order to gain an understanding of a prospective players ability. Therefore, predictive analytics “actually learns more about your next likely action by studying others than by studying you” (Siegel 2013, 15). Brousell (2014) further explains that once in the professional sporting arena, data from wearable technologies can help in the rest and recovery of players, as well as identify and increase the productivity of the athletes.
Predictive analytics is defined by Siegel (2014, 11) as “technology that learns from experience (data) to predict the future behaviour of individuals in order to drive better decisions.” In Australian sports, Champion Data is the leading sporting data and analytics company. Each team and individual is rated every time he or she performs, and certain predictions are made before each match or even season. This data enables fans to further engage with games and allows online social competitions such as “fantasy football.”
“In sports, analytics means not just performance on the field but also the marketing required to fill stadiums by retaining season-ticket holders and attracting new fans” (Bluey, 2013). Recently, the Australian Football League came under heavy scrutiny via social media as a result of suspending a player (Jack Viney) that was seen by the majority as acting in the spirit of the game. The hashtag #freeviney quickly began trending nationwide, clearly exhibiting the fans displeasure at the League. The AFL was then persuaded to appeal the decision and Jack Viney was cleared to play, exhibiting Brousell’s (2014) argument that “analytics can advance the sports fans experience – the better they (the sporting organisation) knows their fans, the better they can cater to them.” Data is also collected on other issues of concern to fans, which can then be on sold to organisations to increase marketing or public relations.
REFERENCES:
Siegel, Eric. 2013. “Introduction : The Prediction Effect.” In Predictive analytics : the power to predict who will click, buy, lie, or die, edited by Eric Siegel, 1–16. Hoboken, NJ: Wiley.
Bluey, Rob. 2013. “From ‘Moneyball’ to money bombs: What sports analytics can teach political nerds.” The Atlantic, March 8. Accessed May 9, 2014. http://www.theatlantic.com/politics/archive/2013/03/from-moneyball-to-money-bombs-what-sports-analytics-can-teach-political-nerds/273824/
Brousell, Lauren. 2014. “8 Ways Big Data and Analystics Will Change Sport.” CIO, March 13. Accessed May 9, 2014. http://www.cio.com/article/749650/8_Ways_Big_Data_and_Analytics_Will_Change_Sports
“Jack Vineys two week suspension sends football community into social media meltdown.” Herald Sun, May 7, 2014. Accessed May 9, 2014. http://www.heraldsun.com.au/sport/afl/the-fallout-from-jack-vineys-twoweek-suspension-sends-football-community-into-social-media-meltdown/story-fni5f91a-1226907937769
McFarlane, Glenn. 2013. “Champion data list analysis has reigning AFL premiers Hawthorn ahead of the pack.” Herald Sun, December 7. Accessed May 9, 2014. http://www.heraldsun.com.au/sport/afl/champion-data-list-analysis-has-reigning-afl-premiers-hawthorn-ahead-of-the-pack/story-fni5f8ge-1226777876749
Siegel, Eric. 2013. “Introduction : The Prediction Effect.” In Predictive analytics : the power to predict who will click, buy, lie, or die, edited by Eric Siegel, 1–16. Hoboken, NJ: Wiley.
Woodward, Darryl. 2014. “Week 9: New Media, Big Data and Telemetrics.” Accessed May 7, 2014. https://lecturecapture.qut.edu.au/ess/echo/presentation/11dcf106-e7c9-44eb-a753-74dfff689043?ec=true















