Skip to main content

Soccermatics - David Sumpter ****

* UPDATED * To include paperback
I need to be honest up front - my first reaction on seeing this book was 'Let someone else review it.' I have zero interest in football, and don't understand why anyone cares about such a dull activity. But then it struck me that what better test could a book have than being tried out by someone without an interest in the theme, and I'm glad I stuck with it, because I really enjoyed it despite myself.

This is because David Sumpter may be using soccer as a hook for mathematical explorations, but the book is far more about the maths than the anything-but-beautiful game. So, for instance, the first chapter begins with the distribution of football results during a season, but quickly expands from that to explore the Poisson distribution and its much wider applications. If it weren't for the deeply irritating introduction, which is sickeningly enthusiastic about football, and a tendency to tell us far too much about players, pundits, teams and managers that mean nothing to me, I would have given the book five stars.

Even the football-oriented parts can be engaging to the non-fan. I don't care if Manchester City is better than Liverpool and I have no idea who Messi is, but when Sumpter abstracts from overpaid individuals and team loyalties, there is some distinctly interesting stuff about, for instance, patterns of flow on the pitch or the way a Mexican wave travels around a stadium. And there was certainly amusement to see that one of the football 'experts' Sumpter criticises predicted that Leicester would be relegated from the premier league in 2015/16, when, just before the book was published, they ended up as champions.

I also found Sumpter's last section really engaging. Here, he spends some time on an experiment to see if the effective use of data and mathematical models can make betting on football games more of a science than an art. Sumpter stresses that gambling is potentially dangerous and that the bookies make sure they come out on top overall - but he demonstrates that with the right mathematical approach you can possible beat the system by a few percentage points. There's almost a feel of the TV series Hustle about this attempt to take on the bookies and beat them at their own statistical game - and Sumpter puts his money where his mouth is, staking the advance for this book (at least, a part of his advance, or he was ripped off by his publisher).

Did reading Soccermatics turn me into a football fan? Absolutely not. I can see the point of enjoying a kick around, but I can't understand why anyone finds football or footballers interesting. However, Sumpter's book has persuaded me that there is a lot more to running a football team than herding musclebound athletes - that, in principle at least (it's not obvious how much teams actually apply these methods) mathematical models can improve team tactics and result in better performance - and that mathematical modelling can be just as interesting when applied to the football pitch as it is when used to analyse the movements of a flock of birds or a shoal of fish.

There may have been a few small sections I had to skip over,  when I felt that Sumpter was getting too carried away with his obvious love of the game, but mostly, as the subtitle hints, I enjoyed my mathematical adventures in the 'beautiful' game.


Hardback:  
Paperback:  
Kindle 
Using these links earns us commission at no cost to you
Review by Brian Clegg

Comments

Popular posts from this blog

It's On You - Nick Chater and George Loewenstein *****

Going on the cover you might think this was a political polemic - and admittedly there's an element of that - but the reason it's so good is quite different. It shows how behavioural economics and social psychology have led us astray by putting the focus way too much on individuals. A particular target is the concept of nudges which (as described in Brainjacking ) have been hugely over-rated. But overall the key problem ties to another psychological concept: framing. Huge kudos to both Nick Chater and George Loewenstein - a behavioural scientist and an economics and psychology professor - for having the guts to take on the flaws in their own earlier work and that of colleagues, because they make clear just how limited and potentially dangerous is the belief that individuals changing their behaviour can solve large-scale problems. The main thesis of the book is that there are two ways to approach the major problems we face - an 'i-frame' where we focus on the individual ...

Introducing Artificial Intelligence – Henry Brighton & Howard Selina ****

It is almost impossible to rate these relentlessly hip books – they are pure marmite*. The huge  Introducing  … series (a vast range of books covering everything from Quantum Theory to Islam), previously known as …  for Beginners , puts across the message in a style that owes as much to Terry Gilliam and pop art as it does to popular science. Pretty well every page features large graphics with speech bubbles that are supposed to emphasise the point. Funnily,  Introducing Artificial Intelligence  is both a good and bad example of the series. Let’s get the bad bits out of the way first. The illustrators of these books are very variable, and I didn’t particularly like the pictures here. They did add something – the illustrations in these books always have a lot of information content, rather than being window dressing – but they seemed more detached from the text and rather lacking in the oomph the best versions have. The other real problem is that...

The Laws of Thought - Tom Griffiths *****

In giving us a history of attempts to explain our thinking abilities, Tom Griffiths demonstrates an excellent ability to pitch information just right for the informed general reader.  We begin with Aristotelian logic and the way Boole and others transformed it into a kind of arithmetic before a first introduction of computing and theories of language. Griffiths covers a surprising amount of ground - we don't just get, for instance, the obvious figures of Turing, von Neumann and Shannon, but the interaction between the computing pioneers and those concerned with trying to understand the way we think - for example in the work of Jerome Bruner, of whom I confess I'd never heard.  This would prove to be the case with a whole host of people who have made interesting contributions to the understanding of human thought processes. Sometimes their theories were contradictory - this isn't an easy field to successfully observe - but always they were interesting. But for me, at least, ...