SMARTABASE Research From the Field: A Working Example from an AFL Club

  • On June 9, 2017
  • athlete monitoring, injury prediction, smartabase, training load
See below, how one of our AFL clients have used SMARTABASE to facilitate quality research that translates to the field.   What question were we trying to answer? Which of our measures, collected weekly, has the greatest association with non-contact injury in-season? (workload, subjective wellness, musculoskeletal screening) Does a combination of these measures allow us […]
Read More

Agree to Disagree: How Many Likert Scale Points are Optimal?

  • On June 2, 2017
Of all the research instruments out there, the Likert scale has to be one of the most popular. In the world of elite sport, Likert scales play a prominent role in wellness monitoring. Many if not most of our clients fill in or analyse a wellness survey every day. Yet, despite the Likert scale’s ubiquity […]
Read More

Missing Data: The Serial Pest

  • On May 11, 2017
  • analysis, data, model, R, values
Data analysts spend most of their time cleaning data. Data with unexplainable outliers, duplicate entries, erratic recording frequencies, inconsistent units, misspellings and/or data entry errors can make it difficult to perform a good analysis. Especially if you are trying to build an automated data pipeline. But a dataset with > 30% missing values will simply […]
Read More

Using Artificial Intelligence to Understand Movement Patterns in Team Sports

  • On May 4, 2017
  • ai, artificial intelligence, ghosting, movement, team
As the striker streams down the sideline, the defenders need to make a decision. To shut down the striker’s space or zone off and cover the outlet? Caught in two minds, the defenders hold off, allowing a free shot at goal. Luckily, the goalie makes a great save, but an unmarked attacker gathers the rebound […]
Read More

The Role of Checklists in a High Performance Setting

  • On April 27, 2017
  • checklist, decision making, hierarchy, high performance
Checklists are not designed to be comprehensive how-to guides; they are quick and simple tools aimed to support the skills of expert professionals. Hence, their use in high performance settings is common. They are not used to dissolve the complexity of your processes but to establish a hierarchy of importance when approaching tasks. The philosophy […]
Read More

Cluster Analysis: A Brief Overview

  • On April 20, 2017
  • analysis, cluster, data, technique
Cluster analysis is an essential weapon for every data scientist’s armoury. It is a great way to gain a sense of your data and is probably one of the most popular types of analysis techniques going around. This blog post will give you a quick primer on how to perform cluster analysis in R. Clustering […]
Read More

Celebrating National Biomechanics Day

  • On April 13, 2017
Unless you are an avid fan of Biomechanics, you may have missed that last week was National Biomechanics Day! This day, in its second year, was created by Dr Paul DeVita as means to raise awareness and appreciation of Biomechanics around the world. As Fusion Sport’s resident Biomechanist, I thought I would join the fun! […]
Read More

Next Generation GPS/Accelerometer Variables

  • On April 6, 2017
  • accelerometer, athlete tracking, gps, injury risk, novel, performance
The rise of GPS/accelerometer use in recent years has provided significant insight into the training and match demands of elite sports. As practitioners dig deeper into an individual’s objective workload, a new generation of variables are being extrapolated to further describe demands. Although several GPS validity and reliability concerns remain1,2, particularly for more recent metrics, […]
Read More

Middle or Mean? The Misuse of the Average

  • On March 30, 2017
  • analytics, data, mean, median
  If you were at the 2017 Melbourne Sports Analytics Conference or the 2017 Gold Coast Smartabase User Conference, you would have seen High Performance Director for GWS, David Joyce, argue against a statistical test that we all take for granted: The mean. In David’s experience, no athlete is ‘average’. A one-number summary like the […]
Read More

Our Five Favourite Talks from the 2017 Sports Analytics Innovation Summit

  • On March 16, 2017
  • analytics, athlete, data, innovation, researchd
On March 8th and 9th, the Fusion Sport team trekked down to Melbourne to attend the Australian leg of the annual Sports Analytics Innovation Summit. Held at the MCG at the start of AFL season, Aussie rules was surprisingly not the only topic on the agenda. We heard about all things high-tech in speed skating; […]
Read More
Facebook
Twitter
YouTube
Instagram
RSS