Teaching

Coursework

I have taught the following coursework subjects in the Master of sport analytics at La Trobe University. I was the coordinator of the degree from 2021 - 2025.

• SPE5ASA - Advanced Sport Analytics (2021, 2022, 2023, 2024, 2025, 2026)
• SPE5PSA - Principles of Sports Analytics (2018, 2019, 2020, 2021, 2022)
• SPE5SAP - Sports Analytics in Practice (2018, 2019, 2025)
• SPE5SDC - Sports Data Capture (2018, 2020)

Graduate Research Supervision

PhD

• Steven Azzopardi, current - Analysing off-the-ball actions in Australian Football
• Dave Matteo, current - A statistical framework for inferring the development of Australian Football players using in game metrics
• Tara Lind, current - Methods for efficient and effective analysis of athlete data
• Ben Jones, current - Investigating the Relationship Between Movement-Variability and Injury in Running
• Luke Stevens, current - Strength Diagnosis in Olympic and Commonwealth Athletes
• Jason Churches, current - The Best is History – Predicting Swimming Performance from Daily Training Data
• Mary Claire Geneau, 2024 - Classifying Lower Body Extensor Strength Qualities in Field Sport Athletes
• Susanne Ellens, 2024 - Measuring Acceleration in Team Sports with Wearable Sensors
• Rebecca Peek, 2022 - Advancing the Analysis of Peak Game Characteristics in Rugby Union to Inform Training Prescription

Honours

• James Ball, 2022 - Forecasting the Performance Development of AFL listed Players

Master of sport analytics research theses:

2025

• Evaluating the Efficiency of the AFL National Draft. (Collingwood Football Club)
• Constructing Player Vectors: Methods for Calculating Playing Style Similarity in Basketball. (Perth Wildcats)
• Characterisation of Structured and Unstructured Possession Chains in Australian Football. (Carlton Football Club)
• What Makes an Effective Kick? Characterising Ball Movement, Decision Making, and the Evolution of Playing Styles in the AFL. (Australian Football League)
• The Evolution of Goal Kicking Accuracy in Men’s and Women’s Australian Football. (Australian Football League)
• Player Portability in Australian Football: Assessing Performance Outcomes Following Club Transitions. (Carlton Football Club)
• Estimating 3D Ground Reaction Forces using only 2D video. (La Trobe Sport Medicine Research Centre)
• Predicting the AFL Ladder to Inform Future Draft Decisions. (Fremantle Football Club)

2024

• The Serve in Para-Table Tennis: Modelling advantage and clustering tactics. (Table Tennis Australia)
  • Analysing serves in para table tennis: Modelling advantage and clustering points
• The evolution of AFLW running demands: the impact of player. (North Melbourne Football Club)
• Offensive and Defensive Player Ratings in AFL. (Carlton Football Club)
• Using Player Tracking to Assess Pressure at Possession in the AFL. (Champion Data)
• Measuring In-match Win Probability and ‘Momentum’ in the AFL. (Essendon Football Club)
• Long-Term Evaluation of Trades in the Australian Football League. (North Melbourne Football Club)
• Late game clutch shooting in the NBL. (Perth Wildcats)
• Predicting performance using similar players in basketball. (Perth Wildcats)

2023

• Evaluating Expected Chain Value models and Stoppage Strategies in Australian Rules Football. (Collingwood Football Club)
• Assessing the True Value of AFL Draft Picks through Performance Metrics and Unveiling Biases. (Fremantle Football Club)
• Expected Score in Australian Rules Football. (Essendon Football Club)
  • Expected scores and goal kicking skill in Australian Football
• Contested Ball Player Ratings in Australian Football. (Collingwood Football Club)
• Shot selection strategies in women’s basketball. (Open data)
• Novel single action rating system for AFL Ruckmen. (Champion Data)

2022

• Relationship between physical testing performance of high school baseball players with early career success and draft position. (Boston Red Sox)
• Discovery and Characterisation of Forward Line Formations at Centre Bounces in the Australian Football League. (Champion Data)
  • Discovery and Characterisation of Forward Line Formations at Centre Bounces in the Australian Football League
• Understanding Pressure Metrics and Their Importance in Australian Football. (Carlton Football Club)
  • Understanding pressure metrics and their importance in Australian football
• The Finite Resource Problem: Deciding which Athletes should Receive Additional Sport Science Support in the Lead Up to an International Competition. (Victorian Institute of Sport)
• Forecasting career performance of established Australian Rules football athletes. (Fremantle Football Club)
• An Improved Player Ratings System for Badminton. (Open Data)
• Measuring Skill Execution during Physical Activity in the AFL. (Melbourne Football Club)
• Quantifying and Describing the Lead-in to sprint efforts in Australian Football. (Essendon Football Club)

2021

• Estimating the causal effect of different inside 50 decisions on scoring in Australian rules football. (Essendon Football Club)
  • Estimating the causal effect of different inside 50 decisions on scoring in Australian Football
• Semantic Segmentation of Australian Football League (AFL) Field. (Champion Data)
• AFL Team Classification with Computer Vision. (Champion Data)
• Meta-Analytics: Discovering Reliable and Unique Information in Australian Rules Football Metrics. (Champion Data)
• Comparing Player Statistical Performance Across the AFL and Tier 2 Australian Football Leagues. (Melbourne Football Club)
• Individual player physical output difference between AFL and VFL during the same season. (Melbourne Football Club)
• Optimal Shot Sequences by Court Position and Player Types. (Data Driven Sports Analytics)

2020

• Analysis of centre bounce and centre field stoppage strategies in AFL. (St. Kilda Football Club)
• A machine learning approach to dynamic win probability in AFL. (Carlton Football Club)
  • Predicting and Understanding Australian Rules Football Using Markov Processes
• Automation of GPS data analysis for sport science. (Melbourne Rebels)
• Rugby Union: Investigating the Potential Gain from Different 22-Metre Kicking Strategies. (Melbourne Rebels)
• Predicting professional athletes’ career outcomes using a nearest neighbour model. (Open data)
  • Predicting Athlete Performance in Team Sports Using Nearest Neighbour Modelling

2019

• Constructing a field equity model for Rugby League using location data and phases of play. (Champion Data)

2018

• What is ‘Draftable’ in Australian Rules Football. (AFL Victoria)
• Optimising First Serve Selection in Men’s Professional Tennis Using Hawk-Eye Data. (Tennis Australia)
• Common Rider Type Combinations in World Tour Cycling Teams. (Dimension Data Cycling Team)
• Team Cohesion and Player Performance in NBA Basketball. (GainLine Analytics)
• Does ball movement efficiency impact the scoring output of successful sides in the Australian Football League? (Brisbane Lions)
• Modelling Team Sports with Bayesian Networks. (Open data)

Short courses

• 3-day Sports Analytics Intensive at the Austrailan Institute of Sport (AIS). (2019, 2020)