A Day at the OptaPro Forum

Sports data company Opta hold an annual forum in London for football analysts, both professional and amateur. Here's what happened at the 2018 event.

The event programme

Whatever your opinion of football statistics, there's no doubt you will be aware of Opta. They are the official data provider for the Premier League, and their OptaJoe Twitter account has over a million followers.

Opta hold an annual analytics forum in London. Analysts, be they professional or amateur, submit proposals for presentations, and several are chosen to share their work with an invited audience taken from football clubs, bloggers and the media.

The 2018 edition of the forum took place this week and I was fortunate enough to attend, as I have done since the event was launched in 2014. My first priority upon arriving was to collect my name badge.

The attendees from football clubs had their team's logo on their badges. As the amateur community exists primarily on Twitter, I couldn't help but think that a handle and avatar might be useful for its members.

My name badge. Amendments all my own work
As always, the presentations were incredibly detailed, thorough, well thought out, and of an extremely high standard. Ben Torvaney got the ball rolling with a look at trying to predict how many goals a player from one league would score when transferred to another.


His analysis suggested Pierre-Emerick Aubameyang might score around five league goals for Arsenal this season. It didn't seem appropriate to shout out that 6-10 was the verdict in a recent Twitter poll I conducted.

John-Mark Sisman was up next. He (and it's almost all 'he' at these things, both on the stage and in the audience) used player tracking data to analyse teams' pressing styles. There's always at least one presentation at every #OptaProForum which uses a voronoi diagram, and this was the first in 2018.

Relax, Andriy, this has nothing to do with you

John-Mark tied in video footage, which is always useful and surprisingly rare in the presentations. The data helped him to identify Barcelona's pressing trigger. Knowing what the trigger is represents a good start; stopping them from doing it is likely to be somewhat harder.

As well as presentations in the lecture theatre, there were posters in the break out area which explored further analyses. Two of them were of particular interest to me.

I was drawn to Kevin Shank's work on long throws, as it agreed with an article I wrote last year for The Tomkins Times. He was handed the keys to the data cupboard whilst I went through game-by-game on Stats Zone and manually noted things down. Each to their own, eh?

Ben Woolcock then showed that he is a man after my own heart by doing an interesting analysis on Excel. A lack of super smart computer coding skills needn't be a barrier to working with statistics, and it was great to see an example of that at the forum.

One of the posters from last year's event was expanded into a full blown presentation this year by Martin Eastwood. It was a fascinating look at how tracking data can be used to monitor team shapes. Want to know which of your players is out of line in the back four, and by how much? Martin's your man.

I had to smile when he said "tracking data can provide simple insights." I'm sure it can, but the background work that went into the presentation will have been anything but simple.

The next section of the day was something new for the forum: A question-and-answer session with someone who works in the professional game. Not only that, but someone who should act as an inspiration to amateur analysts everywhere: Devin Pleuler.

Devin was a blogger, then got a job with Opta themselves, before later joining Toronto FC's analytics department. As Toronto won the domestic treble with an all-time MLS regular season points record in 2017, it seems safe to assume that he's not bad at his job.

After lunch, Freddie Wilson was first up. Are you fed up of looking at chance creation maps with far too many lines? Here's exhibit A, and it's from just one match, never mind a whole season.

Liverpool's chances created in their 4-0 win over Everton in 2016

Freddie used clusters to simplify a chart of key passes, with an added emphasis on looking at which were better or worse from an expected goals perspective. Cluster means German music from the 1970s to me, which is why Freddie is on the stage presenting and I'm sat at the back thinking about German music from the 1970s.

Marek Kwiatkowski is a football analytics consultant, and an entertaining one at that. His presentation was next, and he looked at how players and managers perform against an advanced form of expected goals.

I always think the presentations resonate more when there are players or managers listed, as any layman can then easily assess the findings for themselves. Marek provide ample evidence on that front, and the fact that Jesus Navas was at the bottom of a couple of the lists suggests to me that he is on the right track.

Just as one of the posters had chimed with work I had done previously, so did the final presentation. In fact, it was a broadly similar idea to one which I have submitted as a forum proposal in the past myself. As with Kevin's effort, though, it was far superior to anything I could have done.

Tracking data was the focus once again, and this time it was used to monitor player movement on corners. The presentation was given by three people (Ray, Alex, and Ferdia), and whilst it was undoubtedly interesting, having three people up there but taking it in turns to speak separately didn't really add anything.

The final part of the day was the keynote speech, which was delivered this year by Luke Bornn. He currently works for the Sacremento Kings in the NBA, and was previously at Roma in Serie A. His talk was jammed full of insight, and one nugget he shared probably applies well in all industries and not just sport.

Luke told of how he was unable to influence the manager at Roma, Luciano Spalletti, but he could influence the people who did have the boss's ear. Find your right place in the pipeline, folks, and go from there.

It was also fascinating to learn that he records shooting statistics from training sessions, in order to greatly increase his sample of data. "We don't have data on where the guy is looking," Bornn observed when asked if data taken from when players weren't fully focused would pollute the findings. Maybe that's a new stream of statistics they should bring in for football.

Not even Firmino's only no-look shot of the season. 
And with that, we all moved on to the pub and further discussion. As impressive as the presentations are each year, it's the social aspect of the event that is the most enjoyable. It's great to meet up with friends from past forums, and who wouldn't enjoy a chat with people who are working at the coal face inside football clubs?


Which supposedly stats-minded manager only has a passing interest in some very basic stats? Which transfer flops were blackballed by analysts only to be signed by their clubs anyway? Who stated "most players are narcissists"? I could tell you, but I'd never be invited back. And I enjoy the day far too much to let that happen.

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