jeremy alexander Profile
jeremy alexander

@jeremypalex

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323
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Research fellow @iHealthSportVU. Combining player tracking data and match event data to measure game style and tactical behaviour in Australian Rules Football

Melbourne, Victoria
Joined January 2016
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@jeremypalex
jeremy alexander
4 years
RT @Robertson_SJ: Very pleased to announce @victoriauninews and @TrackVU as foundational members of this important network. Thanks to @krde….
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@jeremypalex
jeremy alexander
4 years
RT @_PeterBrowne: ***TRAINEESHIP OPPORTUNITY***.Amazing opportunity to come and join the VIS family and gain incredible experience in high-….
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@jeremypalex
jeremy alexander
4 years
RT @benteune: 🚨NEW PAPER🚨. Here we present an analytical method for coaches to evaluate their training activities while considering the int….
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tandfonline.com
The design of sports practice environments can be informed through data collected and analysed according to principles of the constraints-led approach. In this study, three manipulated environmenta...
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@jeremypalex
jeremy alexander
4 years
Animation displaying how numerical advantages and total players vary during a match. Note: download video to avoid the compression.
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@jeremypalex
jeremy alexander
4 years
Aim 2) Numerical Advantage: Teams typically obtain a numerical advantage in D50 but endure a disadvantage in front half, regardless of match phase.
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@jeremypalex
jeremy alexander
4 years
Aim 2) Total Players: Generally, 16-19 players (top of 36) were located where the ball is. Except during the stoppage phase in D50/F50, where total players increases to 24.
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@jeremypalex
jeremy alexander
4 years
Aim 1) I50's: Even if teams enter I50 without facing a large outnumber, increased total players decreases the likelihood of scoring (irrespective of a numerical advantage). Values closer to 1 (yellow) indicate a greater probability of scoring.
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@jeremypalex
jeremy alexander
4 years
Aim 1) I50's: Majority of I50's were met with a numerical disadvantage and the likelihood of scoring decreased with each additional defender.
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@jeremypalex
jeremy alexander
4 years
Aim 1) Clearances: Teams outnumber opposition during stoppages in D50 and are increasing likely to win clearances with a greater numerical advantage.
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@jeremypalex
jeremy alexander
4 years
Aim 1) Intercepts: Teams generate more intercepts in back half (D50, DM) with even numbers (0) or a numerical advantage (1-5).
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@jeremypalex
jeremy alexander
4 years
Aims: . 1) Determine relationship between numerical advantage (outnumber) and events (Intercepts, Clearances, I50's). 2) Continuous count of total players and numerical advantage, separated into match phase (Offence, Defence, Contest) and field position (D50, DM, AM, F50)
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@jeremypalex
jeremy alexander
4 years
Note: Incorrect Figure ordering in article. Figure 2 and Figure 3 should be Figure 6 and Figure 7. With subsequent Figures shifting up two places.
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@jeremypalex
jeremy alexander
4 years
NEW PAPER.Our (@k_jacko, @Robertson_SJ) latest paper investigating the impact of player positioning on match event outcomes (possession, scoring) in AFL. Check out the thread for main findings.
journals.plos.org
The primary aim of this study was to determine the relationship between a team numerical advantage during structured phases of play and match event outcomes in professional Australian football. The...
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@jeremypalex
jeremy alexander
5 years
RT @TrackVU: 🔥 HOT OFF THE PRESS 🔥. Check out the new FIFA innovation blog showcasing our latest collaboration with FIFA to test the accura….
inside.fifa.com
In light of growing demand for more cost-efficient match analysis technologies, the launch of a new standard within the FIFA Quality Programme for Electronic Performance and Tracking Systems aims to...
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@jeremypalex
jeremy alexander
5 years
RT @CamillaBrockett: Informed by the experiences and insights gained from 2020, here is an excellent podcast that sets the scene for how sp….
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@jeremypalex
jeremy alexander
5 years
RT @TrackVU: Are you curious about sport data and analytics? Dr @alicesweeting gives us a look at how programming tools can help spark curi….
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@jeremypalex
jeremy alexander
5 years
RT @_PeterBrowne: 🚨NEW PAPER🚨.Our (@CarlWoods25, @alicesweeting & @Robertson_SJ) latest paper exploring if we train how we play🏈. Quantify….
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@jeremypalex
jeremy alexander
5 years
RT @alicesweeting: Introducing our new Graduate Certificate in Data Analytics for Sport Performance @victoriauninews . • Want to be prepare….
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@jeremypalex
jeremy alexander
5 years
RT @Robertson_SJ: So our team @TrackVU are starting a podcast! (only 10 years late we know) The focus will be on the 'future of sport' and….
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