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We help coaches discover valuable insights in match data –
to improve performance and win games






The analysis of match data using advanced techniques of analysis (analytics) can provide coaches with many valuable insights that will enrich their analysis of the game and enable them to make smarter decisions on how to improve performance.   

That’s why coaches need Soccerlogic.

Soccerlogic is a game changer.  It can discover useful insights in all types of performance data, such as match events files (Opta, STATS), GPS, fitness, etc. This knowledge will provide coaches with valuable information on how to get an edge on other teams, win games and competitions.   

Soccerlogic offers a unique and valuable service to football clubs that want to fully exploit data to gain a competitive advantage. Find out more, or ask for a demonstration by contacting or filling the form at the end.



SoccerLogic is a very powerful Performance Analysis software package that will enable the coaching staff to both determine and improve the level of performance. Having worked with the product, the capabilities and extent of the analysis available is very impressive, allowing the coaching team to assess the interactions occurring within the game to an unprecedented level.”  Dan Bishop


How Soccerlogic helps coaches


Soccerlogic analysis is unique.  The insight are obtained from play-by-play event data (Opta or similar) of many matches using advanced data analysis techniques (including machine learning).  Applying such techniques is the only way to extract hidden and valuable knowledge from large quantities of data, in business or in football.  This knowledge will enrich a coach understanding of the game and enable smarter decisions on how to improve performance.

Details of some of these insight are:


  • In-depth, contextual analysis. This means that performance is analysed match by match and broken down (and compared) by as many contexts/conditions a coach may wish to know: Home/Away, 1st vs. 2nd half; before/after a goal, a substitutions or a yellow/red card; before/after a change of tactics (or formation), etc. It will provide an in-depth and in-context metrics of how teams and players have performed. And it will be objective and accurate.


  • Keeps track of these advanced stats/metrics during a season and reports any significant changes between games that have affected performance. No need to spend hours analysis stats – it’s all done by computer. Results are quckly available and much analysis time saved. This is how advanced data analysis gives coaches an edge.


  • Success Analysis – discover what drives successful performance; what your team does well, better than the opposition when you win, and what does poorly when you lose. If there is a pattern that explains your good/bad performance it finds it!


  • Know your opposition as well as your team.  Scouting reports of a few matches don’t give you the full picture. We analyse your next rival’s latest matches in the same way we do for yours.  What you’ll get are many valuable insights on how they play: their tactics, their strong and weak points, and an objective comparison of their performance with yours. It will enrich your traditional scouting reports with valuable infrormation that will help you select your best team and tactics for the match.


  • Help in decision making.  Are you faced with a difficult decision?  Do you need to quickly check your gut feelings. Soccerlogic’s data-driven analysis can help you decide!  Has that player’s performance declined? Has that new tactic been more/less successful? These are just a few examples of how Soccerlogic helps you make that crucial decision.


  • Get more from fitness or GPS data.  In fact, any data you have or may want to useWe will crunch it with our sophisticated analysis tools and squeeze any useful insights that can help improve performance


  • Are you making the most of new technology or latest innovations? FIFA’s recent ruling that allows clubs to analyse matches in real-time is a game-changer!  You and your assistants can’t see everything from the touchline.  Nor can quickly analyse it.  Our real-match analysis can help you by quickly notifying you of any changes that are affecting performance. As well as provide a half-time report. You’ll have a constantly updated full picture of what is going on the pitch that will help make smarter decisions on how to improve performance.

There is more! Please ask for details or a demo at

Sports Intelligence

Gianni Pischedda founded Soccerlogic in 2003 with the aim to provide sports clubs in general, and football ones in particular, with a service of advanced data analysis (analytics). Thanks to advances in technology, the amount of data on performance available to coaches had been increasing, but they lacked the knowledge and skills to make sense of it .

Starting in the early 90’s, Gianni had been a pioneer in the application of the new and advanced methods of data analysis brought about by developments in computer technology.  Having mastered this technology, his passion for football and curiosity drove him to start applying it to the analysis of football.  Within few years on, his effort was rewarded by the discovery that this was also effective in analysing performance in football,

Football Intelligence * was born! It would allow coaches to make sense of the increasing amount of data at their disposal, thus enabling them to make smarter decisions on how to improve performance, and get an edge on competitors.

Since pioneering this data-driven approach to the analysis of football and sports in general, Soccerlogic has gained world leading experience of helping coaches fully exploit game data for improving performance.  It has worked with many clubs around the world:  in football/soccer, AFL (Australian football) and Cricket.  Soccerlogic has also undertaken research projects in Rugby, Ice Hockey, Tennis and Basketball.

* The term ‘Football Intelligence’ was coined by Gianni from ‘Business Intelligence’, often used to describe the many new techniques of data analysis available at the time.




Does scoring at the end of the first half gives an advantage?

…  Only in the Champion league such goals appear to give a small advantage, but only for away teams.  In contrast, there is a small but significant gain for home ones in the Top 5.  But, the overall picture shows that goals in the last 5 minutes do not affect outcomes, and when they do, the result is more often negative than positive.


Analytics first, sport second

… 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!

Possession chains and passing sequences

“A major objective of football analysis should be that of identifying event chains; that is to find out the outcome of a chain of single events. For example, if a team scores, it is useful to know what chain of events preceded the goal. For instance, this could be after five successive short passes, or after a defensive player lost the ball to the opposition forward player who shot immediately….”

How good is xG at predicting match outcomes?

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 have been doing some work on it.

Finding changes in tactics and their impact on a match

… 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 time intervals, and look at changes in activity (ball touches) between a time interval and the next,

Mohamed Salah at Roma and Liverpool

The shot performance of M Salah at Roma and 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.

Balls and Runs – an attempt to Cricket analytics

“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 …”


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