Mapping a Success Genome: AFL 2014

human-genome

Introduction

Last year, I discussed a genomics inspired approach to monitoring and visualising performance in the AFL 2013 season.

This is a follow up post for the 2014 AFL season. It is a companion post to my Momentum post earlier today.

Inspired by Genome mapping, I allocate colours to performance.

I base my colour coding on a team’s ranking in the previous season.

  • Green – a win by a higher ranked team over a lower ranked team
  • Blue – a loss by a lower ranked team to a higher ranked team
  • Gold – a win by a lower ranked team against a higher ranked team
  • Red – a defeat of a higher ranked team by a lower ranked team

Green and blue are ‘business as usual’ indicators, gold and red are important alerts. Sydney, for example, balanced three early defeats by lower ranked teams with three wins against higher ranked opponents.

The Top 8 Teams

Top 8 AFL 2014 Genome

The columns from left to right are: Sydney, hawthorn, Geelong, Fremantle, Port Adelaide, North Melbourne, Essendon and Richmond. Column 2 (Hawthorn) has no gold indicators as Hawthorn were ranked 1 after 2013 season.

Teams 9-18

Bottom 10 AFL 2014 Genome

The lower ranked the team in 2013, the more likely their column comprises mainly blue. The columns are from left to right: West Coast, Collingwood, Adelaide, Gold Coast, Carlton, Western Bulldogs, Brisbane, GWS, Melbourne, St. Kilda. Column 2 (Collingwood) indicates seven defeats to lower ranked teams after their bye week.

Discussion

I see performance as a colour. I have been looking at ranking as a way to understand and discuss coaching.

I think each of the 18 columns can be a powerful trigger for a re-view of performance. The columns are a macro indicator and the opportunity to explore the granular detail of a Football Department’s season.

Photo Credit

Genome Image (Australian Geographic)

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