Joris Bekkers

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119 appearances 1 recordings 1 series first heard Jul 2026 last heard 16 Jul

Joris Bekkers’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.

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Odd Lots · Why Soccer Analytics Works Like Volatility Arbitrage Trading · 16 Jul 2026 podcast

But you can definitely update your beliefs throughout the game, given chances created, expected possession value, as we just talked about, or momentum or something in between, depending on the data you have available to you.

I hope it's the latter.

So you mentioned open source models that actually build open source software to help these smaller clubs.

I guess it's also helping the bigger clubs, but it allows them to build these graph neural nets and these expected possession value models

and then also load these tracking data, which has been a big task just in general because of the data structure and the data size and the software that I work on helps clubs, any club basically get started

So I hope by doing that, it will help the smaller clubs, help data providers, I guess, provide better insights to level the playing fields.

But I'm not sure that it is working out necessarily because getting the knowledge, like we talked about before, actually distilling the knowledge from the data is still, I think, one of the bottlenecks.

It depends.

And I think some of it is a gray area.

There are a lot of data providers.

Some have licenses, some don't.

Yeah, it's a big question mark in some instances.

So you can still imagine it an Excel spreadsheet, but I don't think your Excel spreadsheet would like it very much if you tried to load in this data.

It's basically a player identifier, a team identifier, and then X and Y coordinates for all players at 10 or 25 frames per second.

So that means, I guess, 25 rows for a single frame.

We never really touch, let's say, the raw data in the sense that we don't get the pictures of the game and then try to figure out ourselves where the

What the coordinates are.

So there are a lot of data providers out there that either put cameras in the stadium or use the broadcast footage to extract this data.

So they will have different models.

One of the models would be first identify where all the pitch markings are.

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