Department of Statistics
University of Auckland
I am a PhD candidate in the Department of Statistics at the University of Auckland, where I spend my time researching and developing statistical models that can applied to sports, with a particular focus on cricket.
I originally completed a Bachelor of Science in 2014 at the University of Otago, majoring in statistics. In 2015 I returned to my hometown of Auckland, where I have been studying statistics at the University of Auckland since.
- Sporting statistics
- Bayesian inference
- Statistical computing
- Doctor of Philosophy (2017 - Present)
- Master of Science (2016 - 2017)
- Bachelor of Science (Honours) (2015)
Click here for interactive visualisations of players’ effective averages (as seen at NZSA 2017).
In 2017 I completed my Masters degree under the supervision of Dr Brendon Brewer. My research looked to tell a more meaningful story behind a cricket player’s batting average. Using Bayesian statistical techniques, I explored more in-depth methods of quantifying a cricketer’s batting ability than the simple batting average. More specifically, I built statistical models which describe how well a batsman is playing at any given point in their innings, allowing us to quantify the cricketing idea of a batsman ‘getting their eye-in’. The primary focus was on Test match cricket, with wider applications to 4-day First Class cricket. Using these models, I explored the plausibility of popular cricketing superstitions from a statistical point of view, such as the commentator’s favourite, the ‘nervous 90s’.
Click here to read thesis.
Click here to read dissertation.
Stevenson, O. G., & Brewer, B. J. (2017). Bayesian survival analysis of batsmen in Test cricket. Journal of Quantitative Analysis in Sports, 13(1), 25-36.