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You could read the entire thing in less time than it takes to watch the highlights from your team's latest match. Or, incidentally, in less time than it takes you to read this article.
Sports economics is - as the name suggests - the use of economic concepts to:
By contrast, the 'Sports Analytics' Wikipedia page [1] is about seven times as long. Sports analytics - using data and statistical analysis to predict the performance of teams and individuals - is the side of sport with which people may be more familiar. It is prominent in player performance assessment, training programs, sports gambling, and team construction.
Sports economics is obviously less glamorous than sports analytics - I would be surprised to see a Moneyball equivalent about a sports economist attracting more fans to a game. However, I would argue that sports economics is more important because, without it, sports as we know it would not exist.
This concept has been of interest to me in recent months off the back of the wildly successful 2023 FIFA Women's World Cup. The aggregate attendance was 1.98m, and the average crowd was nearly 50% larger than at the 2019 edition [2] . 64% of Australia's population were estimated to have watched at least part of the Matildas' semi-final against England [3] .
As a fan of Australia's domestic football leagues, the A-Leagues, I was optimistic that fan engagement might soar there, too. Yet, while there have been instances of increased crowd attendance - particularly at A-League Women's (ALW) matches - the uptick has been below what some hoped.
I have conducted research (using publicly available information) in three areas to demonstrate where the ALW (as well as ALM and other Australian sporting leagues) might identify strategies to improve attendance. These three areas are discussed below.
Using data (mainly from austadiums.com, supplemented where necessary), I have analysed how A-Leagues crowd sizes change throughout the season, and in response to certain conditions around the matches being played.
The data used encompasses the past five completed seasons. Putting on our 'sports economist' hats, three features stand out:
I have researched the strategies used by the Women's Super League (WSL), the women's equivalent of the EPL. Sports marketing agency Two Circles produced a report [4] from which I drew the points below.
Arsenal's women's team have succeeded in attracting larger crowds in recent years through their 'Big Games' strategy - holding one-off, heavily-marketed matches in large stadiums (with at least 20k capacity). To start the 2022/23 season, the average attendance at eight 'Big Games' (across four WSL clubs) was 35k fans.
Arsenal's average crowds excluding 'Big Games' increased by 99% compared to the previous season, which suggests a flow-on effect to other matches as well.
There are three key lessons that can be learned from the success of the World Cup itself.
I am sure that sporting leagues are aware of many observations made above. So what can actuaries do to contribute to this space? We are well-positioned to be leaders in the sports economics space due to a combination of our proficiency in data analytics, financial acumen and communication skills.
Sport brings meaning and joy to so many people in society and, by leaning into the area of sports economics, actuaries can help to spread its reach even further.
I would like to thank Thy Cao and Catherine Xie for their contribution to the ideas and research behind this article.
[1] https://en.wikipedia.org/wiki/Sports_analytics
[2] https://www.sportspromedia.com/insights/analysis/womens-world-cup-2023-attendance-figures-viewership-social-media/#:~:text=Still%2C%20the%20average%20attendance%20for,than%2030%2C000%20fans%20per%20match.
[3] https://www.footballaustralia.com.au/news/a-new-game-plan-4-ways-grow-momentum-womens-sport
[4] https://twocircles.com/au-en/articles/report-strategic-investments-driving-growth-in-womens-sport-attendances/
[5] https://www.forbes.com/sites/asifburhan/2023/09/14/80-of-womens-sport-viewership-in-uk-watching-womens-soccer/?sh=2dda156c6804