Around May 2022 I began to prepare to move away from the South West. I was due to finish at the University of Bath as well as my part time roles at Southampton FC and Chippenham Town FC. As a result I was looking for full time work in football, which fortunately I did secure. Although during this time I also considered other options which utilised my skills as an Analyst. I had utilised Tableau a lot in my previous roles, even creating bespoke metrics and workbooks to integrate club data in some cases.
For one role, I was tasked with utilising an open data source to create a dashboard that effectively told a story through the data. Below shows a dashboard that I created with reference to female sport participation in USA. This link takes you to the full interactive dashboard in Tableau: https://public.tableau.com/app/profile/zack.killoran/viz/USAFemaleSportParticipation/FemaleSportParticipationinUSA
Within one of my roles, I created bespoke metrics and dashboards in Tableau to highlight various Key Performance Indicators of the individual, units and team performance. Below I show some of these dashboards, although for obvious reasoning I have used dummy data to show how these templates could be utilised. I have removed names and club badges from sight, but obviously this, alongside other club-specific personalisation, would be utilised to give it the finishing touches necessary to create high quality pieces of work that accurately convey the necessary messages between the analyst and coaches or players. When investigating these dashboards on Tableau, tooltips are also extremely useful for conveying further detail.
Team Trend Analysis
This was used to assess changes over time in the team's performance. It could also be filtered with regards to the team's formation to further understand how this impacted overall performance and which positions changed in their roles with this. Points per 90 was a bespoke metric created to measure the in possession impact that a player had.
Expected Goals for an individual
This was utilised to show the attacking output of a player over time. This had direct impact on training, for example informing where and how a player shot from could impact types of training drills to make it specific to what they need to work on.
Individual Trend Analysis
This showed an individual's performance over time with regards to the club's Key Performance Indicators. It could be further assessed by comparing the impact of positioning and age group that they featured for to understand their developmental needs better.
Player Season Overview
This was utilised to integrate all data streams collected by the club. The filter 'sheet selector' showed a range of different options from the technical statistics shown here to GPS and strength data. This meant that all club data was in one place and easily accessible for meetings as required. This also saved staff time and in my opinion increased efficiency and productivity by meaning that they did not need to regularly send over data or attend meetings to provide this information for someone else to show to the player.
Goalkeeper performance
Similarly to a player's xG performance, this could be used to inform training by understanding where the goalkeeper may need to improve their game. The effectiveness of this dashboard can be improved by combining this with video to further understand their decision making also. I wanted to work towards having a video database of all shots for and against and this can be integrated into the shot map with each individual shot location linked to the video of that shot. This could lead to certain conclusions from the analyst and coaching staff that would help to inform practice.
Player Strength
This dashboard was designed for the Strength and Conditioning Department. It aimed to visualise their Key Performance Indicators of key lifts to understand the individual's progress in their training programme with regards to both the team's average and the targets set out through Scientific Research. Such information is of particular interest when players are playing in a range of age groups and have a large mix of physical maturity levels.
Match Passing
This dashboard allowed player's relationships on the field to be explored and was of particular use to understand if the game plan was being followed with specific phases of play being carried out. This can be seen by certain passes being played in possession and by forcing the opposition to play in certain areas out of possession. To demonstrate, I have filtered this data to show the passes played and received between two players only. It is possible to filter this data by the direction of the pass and in 15 minute intervals too, as we collected this data also. This passing data was also utilised to visualise a team's average positioning in possession to give detail about how a team would build possession.
Individual Reports
This used all technical data that we collected in one dashboard. It was key for understanding player's strengths and weaknesses with reference to the team. The average points per game bar graph was used to filter for the breakdown graph shown directly below. By clicking on passing, it then shows this passing points breakdown for our three categories below. The same would be true if one of the other attributes were selected.
I was extremely pleased with the work produced over this time period and my new ideas which were invested in by the club. It is great to work in a team which empowers you to innovate and develop new methods. I believe that we successfully developed an ethos of smart thinking to increase productivity and improve the club on many fronts throughout my time.
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