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We analyse match data to find valuable insights that help coaches make smarter decisions on how to improve team/players performance


Recent advances in computer technology give coaches a new and powerful weapon to exploit in the fight to improve performance and make a team more competitive: advanced data analysis tools.

Driven by powerful machine learning algorithms, such tools can discover valuable insights from games data as provided by Opta, STATS and others.  This knowledge will enrich their analysis of the game, and thus help them make smarter decisions on how to improve performance and gain an edge on competitors.

Soccerlogic pioneered the application of machine learning tools and visualisation in football and other team sports, and has many years experience of using such advanced analytics tools to help football clubs discover their key drivers to successful performance.

Soccerlogic uses the latest tools and technology to help you get the most from your data.


Sport Intelligence

Soccerlogic was founded by Gianni Pischedda after many years professional experience as a Business Intelligence consultant. Having used data mining/science tools to help business companies improve performance, his passion for sports, and football in particular,  he conceived the idea  that such tools could also help football clubs achieve similar benefits. Football Intelligence was  born!

Soccerlogic pioneered the application of machine learning (data mining/science) and data visualisation in football and other sports, back in 2003. Since then, it has gained world leading experience of using advanced technologies to help clubs improve performance by exploiting game data.

Soccerlogic has undertaken many projects around the world, delivering performance improvements for football/soccer, AFL (Australian football) and Cricket teams. It has also carried out research on applications to rugby, hockey, tennis and basketball.

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Today coaches don’t have to rely only on video analysis and their intuition to analyse the beautiful game.  There is data, a lot of data on how teams and players perform on the pitch.  And computers can quickly analyse it to find many valuable insights – precious information that can help them make smarter decisions on how to improve performance.

Using computers driven by powerful machine learning algorithms is the only way one can find such key information!  Football is a complex game, and when it comes to analysing data, any data, ‘intelligent’ machines have an edge on humans.  However, computers are not going to replace analyst and coaches anytime soon.  Their knowledge and experience of football is needed to filter what machines discover, and integrate it with their findings to enrich the analysis.

Using computers to play a central role in helping football clubs improve performance was the key concept behind the founding of Soccerlogic.  This vision was born out of Gianni’s many years experience of seeing how computers had helped many business get an edge on competitors.

This was back in 2003, when artificial intelligence (AI) only got a mention in academic papers, and science fiction books. How times have changed!  Computer technology has evolved, and a faster rate than anyone had anticipated.  Artificial intelligence is now a practical reality, with its application bringing benefits to all areas of human enterprise.

The development of AI has not escaped our attention, nor have its implication for football, and team sports in general. For a few years now Soccerlogic has been doing research on how AI deep learning algorithms can be used to analyse match data and provide more and better ‘intelligence’ to coaches for improving performance.   It is something all coaches should be keen to explore, and that we are eager to share with them.

People don’t know what they want until you show it to them” Steve Jobs


How Soccerlogic helps you

Soccerlogic can help improve the performance of your team by:

  • Identifying significant changes in performance parameter during the season
  • Success Analysis – identifying tactcis that drive successful performance
  • Highlighting key stats – save time…focus on what is important
  • Identifying strengths, weaknesses of yours and rival teams
  • Quickly verifying whether your observations and intuitions are evidence based
  • Monitoring performance (yours and opposition) during a match in near real-time
  • Fast results – more time to study results, find solutions and implement them in training

We analyse match data to find key insights that enrich your tactical and technical knowledge of teams/players
We help you make smarter decisions on how to improve performance, and be more competitive.

Why choose Soccerlogic?

We pioneered the application of data mining/science to football, and over the years gained the knowledge and experience to help you reap the benefits of this technology. You can trust us to help improve performance because:

  • We have higher education qualifications in computing and statistics
  • We have verifiable experience of working as data miners/scientist.
  • We have years of experience advantage on our competitors
  • We understand football as well other team sports
  • We have years of experience of providing solutions to teams like yours
  • We have developed a unique, succesfull method to help clubs benefit from data mining/science
  • We use commercial software, the same banks and leading business employ – you can trust our results!

Soccerlogic is the only company that can provide you with tools and training to do your own analysis –
you don’t need analysts with programming skills to benefit from data mining/science!


Mohamed Salah at Roma and Liverpool

The analysis shows that Salah performance has much improved at Liverpool. The number of goals scored – double his tally (31 vs. 15) at Roma with roughly the same number of matches and minutes played – is a strong indicator. But we must account that at Roma he had fewer shots (74 vs. 132) as Dzeko was the main target there.the right side of the goal (Pic. 1), while at Liverpool were more evenly distributed, though the right side remained favourite. Logically, this also the side where most of his shots assists came from.

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Is xG any good at predicting game outcomes?

Introduction One can’t afford to ignore Expected Goals (xG) now that Match of the Day are giving the metric such a huge profile. I’m not a massive fan of xG, but I thought it was worth further investigation and so, thanks to data from StrataData ((, I...

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Gianni Pischedda

Founder/CEO @soccerlogic. After leaving university, Gianni was driven by a strong interest in computers to a career in IT.  During his many years working as programmer/analyst/consultant, he nursed a passion for advanced application of IT, such as Expert System (an early development of artificial intelligence).

The availability of the first commercial software based on this technology prompted a career change. He was among the first to appreciate that (machine-learnnig driven) data mining tools, as these software were known, were a game changer as far as enabling business to significantly improve performance.  Gianni then spent many years advising business on how to use these tools for competitive advantage.  A passion for football later drove him to pioneer their use for improving performance in the game.  Before long, he founded Soccerlogic to promote his novel idea.

Gianni has studied at Lancaster University, where he was awarded MA degrees in Numerical Analysis and Computing, and Systems Engineering.



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