Goal Expectancy: How to Use the Most Advanced Metric in Football

Join us for a webinar hosted by Dr. Patrick Lucey, STATS Director of Data Science, as he provides us with a new perspective on how to accurately calculate an Expected Goal value, while also looking at exciting new ways to use this metric.

Managers, coaching staff and journalists are constantly looking for better ways to measure and predict team and player performance. With Expected Goal value at the forefront of football analytics. Dr. Lucey will highlight the application of Expected Goals For(xGF), Expected Goals Against(xGA) and Expected Save(xS), while also providing us with a look into Leicester City’s championship winning season by analyzing expected goal value.


How Playing Style Impacts the Physical Demands of Football

Off-the-ball movement during a football match is one of the most vital tactics for coaches. On average, during a game, a footballer spends 97% of their time without the ball. However, measuring the quality and value off-the-ball movement brings to the team has proved difficult.

In this webinar, we will use STATS Playing Style methodology to measure how different playing styles impacts the workload required of a player to perform on offense and defense.

STATS segments the game by style of play to understand how we can assess the tactical workload and finds new ways to use these insights, which allow sport scientists and coaches to develop evidenced-based sessions and create a holistic tactical periodization program for teams and players.


The £150 Million Game: How to Succeed in the Premier League

Promotion to the Premier League can be worth as much as £150 million to teams that ascend from the Championship, but how can clubs best prepare themselves to become a stable presence in the top flight of English football?

Applying advanced analytical models such as playing styles analysis, expected goals and ball movement points, the Prozone Performance.LAB is able to showcase the strategic tendencies that have seen promoted teams thrive in the Premier League.

Delivering unique insights into Premier League performance, Prozone Data Scientist Marc Flynn will highlight innovative applications of analytics in football and show how data can support an enhanced understanding of what it takes to succeed at the highest levels of the sport.


Champions League Final 2016

Milan’s San Siro will host two teams from the Spanish capital in the 2015/16 UEFA Champions League. The competition’s most successful club, Real Madrid, will compete in its 14th final, aiming to win its 11th European Cup, while City rivals Atlético have reached a third final with the aim of winning Europe’s premier club competition for the first time.


Analyzing the United States Men’s National Team at the Copa América

The United States will host the Copa América Centenario in what is predicted to be the biggest men’s soccer tournament in the country since the 1994 World Cup. The 1994 World Cup led to the formation of Major League Soccer, and interest in the sport in the US has grown steadily ever since, with the 2014 Men’s and 2015 Women’s World Cups setting records for television ratings in North America. Can this summer’s Copa América have a similar impact?


Team Cohesion: Quantifying Unity in Elite Sport

Join us for a webinar where we quantify team cohesion through the development of the Teamwork Index (TWI) metric.

Cohesion, or the amount of unity a team has, is regularly identified as being a key factor in the success of failure of teams in elite sport, and yet it is something that few attempt to quantify. Defining cohesion as the level of interrelationship between team members, Prozone uses TWI to measure cohesion and determine the ways in which it influences performance levels.


Player Recruitment: Using Player Profiling to Enhance Squad Management

Join us for a webinar hosted by Paul Power, Prozone Performance.LAB data scientist, where he will highlight how the application of advanced analytics can support a more holistic and informed approach to player recruitment and asset management. Through the work of the Performance.LAB it is now possible to more accurately capture and quantify the stylistic nature of individual players. By using the Performance.LAB’s Playing Styles analysis framework, scouts and coaches now have the ability to better understand which systems a player has been involved in and how effective they are within them, providing an insight into how a player might fit into a team’s existing structure.


Notational Analysis: The Study of Movement Patterns, Strategy and Tactics in Team Sports

Do you want to enhance your analysis skills? Are you looking for professional training in sport?

Then join us for this webinar for a discussion on the role of self-coding in Performance Analysis and a look at GameLens, Prozone’s new notational analysis technology. This webinar will give a basic understanding of the implementation of Performance Analysis with self-coding software. Attendees will gain an introduction to implement customized analysis and provide feedback to create a positive impact on team and individual performance.

The webinar will also take a look at further education and development opportunities available within Performance Analysis.


Analysing England Ahead of Euro 2016

England were the first nation to qualify for Euro 2016, and the draw for the tournament should have pleased Roy Hodgson and the Football Association. The Three Lions will have to face Russia, Slovakia and Wales in Group B, avoiding the likes of Italy, Sweden and Turkey from pots two, three and four respectively. But how far can this England side go in France this summer?

Excerpt from the eBook:

“England’s playing styles radar from the 2014 World Cup indicates tendencies to cross the ball frequently (+21% to the tournament average) and keep possession in attacking areas to achieve a sustained threat (+28%). The significance of the figure for crossing is likely a result of England’s most creative players being deployed in wide areas. “


Game Intelligence: Quantifying Movement Intelligence in Soccer/Football

Join us for a webinar hosted by Paul Power, Prozone Performance.LAB data scientist, where he will introduce the work he has done in the field of Game Intelligence.

Technical and tactical analysis has historically been based on events that have occurred during games such as passes and shots. This approach fails to take into account the process of how and why the pass or shot was made. By utilizing Prozone tracking data, Game Intelligence provides a set of unique metrics capable of capturing the dynamic interactions between all players, both on and off the ball.

For the first time, Prozone is quantitatively measuring the impact a player has on processes such as creating space, applying pressure or reducing passing options. This 30minute webinar will give you an insight into the methodology and how it can be applied.