smarterscout: The Why in Analytics

Jul 03 2020 20 mins 13

smarterscout: The Why in Analytics Podcast artwork

Dan Altman, creator of smarterscout, discusses the big issues underlying football/soccer analytics and sports analytics in general. Dan asks why we use data, why we measure the things we do, and why we choose certain analytical methods out of the many tools available. Drawing on his experience working with clubs in the Premier League, Major League Soccer, and other competitions around the world – as well as USA Olympic teams – Dan gets to the core of the questions every analyst faces.

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Q & A

Jul 03 2020 26 mins

Dan answers questions from listeners, followers on social media, and smarterscout.com users on a wide variety of topics: top-down versus bottom-up metrics, spotting potential in young players, hard-to-measure skills in defending, adjusting metrics for differences between leagues, how to get into football/soccer analytics, and more.Support the show

Measuring style and skill

Jun 24 2020 23 mins

Contributions to winning aren't the only things that football/soccer clubs might want to measure. Playing style has an important role in recruitment, and specific skills like finishing and winning aerial duels can be the crucial raw materials for tactical success – and for the careers of young players. Dan explains various approaches for gauging style and comparing players w

Expected goals from ball progression and tactical applications

Jun 18 2020 19 mins

Each action during a match changes the probability of scoring, and these changes can become part of a model of ball progression. Dan explains how expected goals from ball progression can complement expected goal from shot creation, both in evaluating players and in predicting results. He also shows how both kinds of expected goals can form the basis for tactical tools, sometimes mo

Rating players with expected goals from shot creation

Jun 11 2020 16 mins

Breaking down goal difference into its component parts shows how expected goals from shot creation – the chance of scoring for each shot, estimated from historical data – can be the foundation for a model of the game. Dan explains how this model can be used to rate both attacking and defending, then considers the judgment calls implicit in using this kind of model to evaluate p

The building blocks of a model of the game

Jun 04 2020 18 mins

There's an infinite number of mathematical models that might explain the game of football/soccer, but how can we strike a balance between usefulness and simplicity? Dan considers the advantages and drawbacks of models using goals, and shots, then begins to explain how expected goals – a measure of shots' chances of scoring – might capture information for rating teams

The basics (and basis) of metrics

May 26 2020 19 mins

The first step in constructing a metric is deciding – and clearly specifying – the question to be answered by the data. Dan talks about formulating this question and dealing with the complex issues generated by even the simplest metrics. As part of the discussion, Dan asks, "Who is the best tackler in the Premier League?" To answer this question... well, how long do y

The foundation of trust and rationality

May 19 2020 19 mins

Using analytics effectively depends on trust and rationality. Dan discusses how to introduce analytics at football/soccer clubs in ways that build trust, then moves on to decision-making structures that use analytics – and other inputs to the process – in a rational way, taking financial considerations into account.Intro: "Crackle & Pop" by Digital Primitives Outr