Vast amount of data are now available for all major football competitions.
It’s a game-changer! Hidden in this data there are many precious insights on how teams play.
These can enrich your analysis of the game, and enable smarter decisions on how to improve performance.
However, finding such precious insights is not easy: advanced analytic methods must be used, such as machine learning algorithms, and visualisation. It is what we at Soccerlogic have been doing for many years! Nobody has more experience than us – we pioneered data-driven analytics in football!
So, if you wish to make the most of your data, you can trust us. We have helped many coaches drive improvement in performance with fresh insights from their data or that provided by Opta, STATS. And can help you too get an edge on the competition. Please contact us at email@example.com or send the form shown at the end, and we’ll show you how.
Soccerlogic has the knowledge and experience to help you get the most from match data!
Soccerlogic was founded by Gianni Pischedda in 2003 after many years experience of working as a Business Intelligence (BI) consultant. It was the result of his passion for football, and the discovery that the advanced tools he was using could analyse match data very effectively. The performance of team and players could be studied in depth, and provide coaches with fresh insights on how to improve it. Unsurprisingly, he named it Football Intelligence.
Since pioneering this modern approach to the analysis of match data, Soccerlogic has gained world leading experience of helping coaches improve performance. It has undertaken many projects around the world, delivering performance improvements for football/soccer, AFL (Australian football) and Cricket. Soccerlogic has also carried out succesful application research of its novel method to Rugby, Ice Hockey, Tennis and Basketball.
“You only see what you know.” Goethe
Video analysis and coaches’ knowledge/intuition is no longer enough to analyse the game and improve performance.
Of course, spending millions on buying better players can help. Can you afford it? There is an alternative.
Make the most of the data!
Thanks to advances in technology, a lot of data is available on teams/players’ activity on the pitch. And there are software which can quickly analyse it to find many valuable insights on performance. Such insights will enable coaches to better understand the technical and tactical performance of teams/players, and thus make smarter decisions on how to improve it.
Computers driven by powerful machine-learning algorithms must be used for finding such precious insights. Football is a complex game, and when it comes to analysing data, big-data, computers have an edge on humans. However, the knowledge and experience of coaches/analysts is crucial in driving this proceess of discovery, and translating these insights into actions that will lead to performance improvement in play.
That computers should play a leading role in helping football clubs improve performance was the key concept underpinning Soccerlogic’s Football Intelligence. An intuition born out of its founder many years experience of using data mining software to drive performance gains in business.
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, and its many applications bringing benefits to all areas of human enterprise.
This unpredictable development has not escaped our attention, nor have its implication for football and team sports in general. For a few years now Soccerlogic has been focusing on understanding how the deep learning algorithms that drive AI can provide coaches more and better ‘intelligence’ to improve performance. It is something all stakeholders in a professional sports clubs should be keen to explore, and that we are eager to share with them.
“People don’t know what they want (or can get – Ed.) until you show it to them.” Steve Jobs
How Soccerlogic can help you
Soccerlogic can help coaches/analysts find valuable insights on the performance of teams/playerst that will enable smarter decisions on how to improve performance and get an edge on rivals. Some of these are:
- Identifying significant changes in performance metrics during the season
- Success Analysis – identifying tactics that drive successful performance
- Highlighting key stats – save time, focus on what matters!
- Knowing the strong and weak points of your team and opposition
- 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 understand, find solutions and implement them in training
We can help analysts find key insights that will enrich the tactical and technical knowledge of a team.
We enable coaches to make smarter decisions on how to improve performance, and gain a comptetive advantage.
Why choose Soccerlogic?
Soccerlogic pioneered the application of data mining/science in football, and over the years has gained unrivalled experience of using this technology to find valuable insights from match data.
- We are qualified: have higher education qualifications in computing and statistics
- We have the skills: verifiable experience of working as data miners/scientist.
- We have the know-how: we have been analysing football for over 15 years – much longer than anyone else!
- We understand the data: we have been analysing Opta match data for years using data mining tools
- We have a methodology: a unique, succesfull method to help clubs quickly benefit from data mining/science
- We use certified software : what banks and other financial institutions employ – you can trust our results!
No other company has the experience and know-how to help you make the most of your data!
… Of course, anyone involved professionally in Performance Analysis of any sport has to ‘know’ the sport. But this deep knowledge that Dean advocates is no longer of primary importance if one has an analytics role in a club. Analytics is about analysing data, lots of data (big data?); hence the primary skill required for this task is knowledge and experience of advanced analytic techniques and tools. Without this knowledge and experience is not possible for anyone to analyse data efficiently and effectively. Any data!
“A major objective of football analysis should be that of identifying event chains; that is to know what chain of single events led up to a specific outcome. For example, if a team scores, it is useful to know what events preceded the goal. For instance, this could have come after five successive short passes, or after a defensive player lost the ball to an attacking player who shot immediately….”
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 ((www.stratagem.com), I have been doing some work on it.
… To discovery tactical changes, we try finding significant changes in performance by the two teams in the many binary contexts of the game; for example between 1st & 2nd half, before/after a goal conceded/scored, before/after substitutions, etc. We also split the match in ten segments, and look at changes in activity (ball touches) between one time interval and the next,
Te shot performance of M Salah at Roma an Livepool is compared in this post. The objective is to find any statistically significant (p<0.05) and non significant (but revealing) changes in performance.
“I am taking a rest from football, and since the battle for the Ashes is on (England – Summer 2013), I have turned my attention to cricket. Australia’s bowlers have been criticised by their lack of success, especially in the 2nd Test at Lords. So here is my attempt at an analysis of their performance, as well as that of the England’s …”
After university, a passion for computers led Gianni to follow a career in IT. His interest in Expert System (an early development of Artificial Intelligence) was crucial in his appreciation of the potential of analysis tools based on this technology. Among the first to employ machine-learning algorithms – these software could analyse large business databases very quickly, and discover much valuable information on how to improve performance.
After gaining much experience of using these so-called data mining tools on business data, his passion for analysing football led him to experiment on match data. Soccerlogic was founded as a result of his discovery that these software could be as effective in analysing performance in football (as well as other team sports) as in business.
Gianni studied at Middlesex Polytechnic, and at Lancaster University, where he was awarded MA degrees in Numerical Analysis & Computing, and Systems Engineering.
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