Delegates from the 14th Australasian Conference on Mathematics and Computers in Sport are off to the Sunshine Coast Lightning netball game today.
The Lightning are hosting the NSW Swifts in a Round 13 game in the Super Netball Tournament. Anthony Bedford will be the delegates’ guide and will share his work as the Lightning’s performance analysis lead in real-time.
My contribution to the day’s activities from a long way away in rural NSW was to share some data on GitHub.
My median profile of both teams is:
Lightning
NSW Swifts
My data suggest a close game with a win for the Lightning, but I am mindful of this observation in the context of a KDnuggets’ description of predicting outcomes in sport:
Data science has limited accuracy when dealing with predicting group behaviour. … It’s abundantly clear that these predictions are more for entertainment purposes, or to give a rough estimate, rather than an exact science.
As well as using median data to guide my observation of games, I have a particular interest in the thick description that comes from a phenomenographic account of performance that suggests temporal patterns of stable behaviour.
I am looking forward to today’s game and the insights delegates will share. In a subsequent post I will reflect on my analysis of this game.
Photo Credit
Sunshine Coast Lightning (Twitter, 6 July 2018)
