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Denise Wong
Denise Wong

14 Followers

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Published in

Towards Data Science

·Oct 25, 2021

Brownlow Medal Predictor

Using a data-driven approach to predict AFL Brownlow Medal votes — The Brownlow Medal is awarded to the “best and fairest” player in AFL during the home and away season, as determined by the umpires. After each game, the three field umpires award 3, 2 and 1 votes for players regarded as the first, second and third best in the match…

Data Science

8 min read

Brownlow Medal Predictor
Brownlow Medal Predictor
Data Science

8 min read


Oct 22, 2021

How AFL Supercoach Pricing Works (Part 1)

A data-driven approach to understanding the features of the AFL Supercoach pricing mechanism — The AFL Supercoach pricing mechanism is a much simpler implementation of the one used for AFL Fantasy. By comparison, there is also much more written up on the methodology. Hence, this article has been written for the purposes of completeness to my body of work on AFL statistics. In the…

Sports

6 min read

How AFL Supercoach Pricing Works (Part 1)
How AFL Supercoach Pricing Works (Part 1)
Sports

6 min read


Published in

Towards Data Science

·May 21, 2021

Lifecycle of an AFL player’s career (Part 2)

A framework for tracking and attributing the components of player effectiveness — In our original paper, we demonstrated that a baseline model using player age, draft pick and position can be used to explain a large proportion of each of the following components — points per minute, time on ground and percentage of season played — across the AFL player cohort. Lifecycle of an AFL player’s career Stages of an AFL player’s career and a first model for assessing player effectiveness across multiple seasonstowardsdatascience.com

Sports

9 min read

Lifecycle of an AFL player’s career (Part 2)
Lifecycle of an AFL player’s career (Part 2)
Sports

9 min read


Published in

Towards Data Science

·Jan 15, 2021

Lifecycle of an AFL player’s career

Stages of an AFL player’s career and a first model for assessing player effectiveness across multiple seasons — In this article we explore the lifecycle of an AFL player’s career and try to understand the interplay of playing position, talent and experience using an expectations based framework, and propose our first model for estimating player value. Given that the ultimate purpose is to select players who are most…

Sports

8 min read

Lifecycle of an AFL player’s career
Lifecycle of an AFL player’s career
Sports

8 min read


Published in

Analytics Vidhya

·Aug 26, 2020

Using Location Statistics to map AFL player roles

Where’s Wally … statistics which tell the story of player roles — A casual observation from previous research was that some player statistics contained sufficient information to define player positions in the absence of video footage and/or actual x-y coordinates of ball action. Classifying AFL Team Stats Identifying meaningful structures in AFL team stats using cluster analysismedium.com Our starting point is the following charts which shows the relative frequency of each variable grouped by player position…

Sports

7 min read

Using Location Statistics to identify AFL player positions
Using Location Statistics to identify AFL player positions
Sports

7 min read


Published in

Analytics Vidhya

·Jul 16, 2020

AFL Player Importance and Impact

A look at AFL players in the context of their own teams — This article uses data visualisations to examine player impact and importance within their own teams as a way of understanding team construction, with some takeaways for AFL fantasy. Data The publicly available statistics were scraped from the individual pages for each match from Footywire for the 2019 season. The raw dataset…

Afl

7 min read

AFL Player Importance and Impact
AFL Player Importance and Impact
Afl

7 min read


Published in

Analytics Vidhya

·Mar 4, 2020

Where AFL Players earn their Fantasy Points

Using Principal Components Analysis to explore the link between player position and fantasy scores — In our prior analysis on classification of AFL team statistics we observed that in principal components space, the first two components of PCA suggested that the data can be organised by (1) ball ownership and (2) ball location relative to the midfield. In this article we drill down the dataset…

Afl

9 min read

Where AFL Players earn their Fantasy Points
Where AFL Players earn their Fantasy Points
Afl

9 min read


Feb 8, 2020

How AFL Fantasy Pricing Works (Part 3)

Understanding how initial player prices are determined using classification and regression algorithms — One of the problems in early preparation of my AFL fantasy team for the upcoming season is that player fantasy prices are not available on the Footywire website until season commencement. In investigating the methodology for the pricing calculation, we find that the pricing specifications are slightly incomplete as they…

Afl

6 min read

How AFL Fantasy Pricing Works (Part 3)
How AFL Fantasy Pricing Works (Part 3)
Afl

6 min read


Published in

Analytics Vidhya

·Nov 28, 2019

Predicting AFL Match Outcomes (Part 1)

Introducing Wilma, an Elo style model for rating AFL team strength and quality — In this article we introduce Wilma, our first rating system for AFL team strength and quality. Wilma is an Elo style model which compares team strength and quality over time. Wilma’s record in predicting match winners is an accuracy of 68.2% over the entire AFL history and 65.8% …

Crossvalidation

10 min read

Predicting AFL Match Outcomes (Part 1)
Predicting AFL Match Outcomes (Part 1)
Crossvalidation

10 min read


Nov 4, 2019

A Closer Look at AFL Stats : Conversion Rates

Exploratory data analysis on conversion rates in AFL matches — Following on from my last analysis on clustering of team stats, it becomes more apparent that a model for match outcomes needs to consider both the generation of scoring opportunities in the midfield and the execution of scoring opportunities in the goal square. In this article I explore the latter…

Data Science

6 min read

A Closer Look at AFL Stats : Conversion Rates
A Closer Look at AFL Stats : Conversion Rates
Data Science

6 min read

Denise Wong

Denise Wong

14 Followers

Data enthusiast. Too many incomplete ideas. Find me on https://www.linkedin.com/in/denise-wong-53958029/

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