Joris Bekkers
speaker
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 · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.
Appearances
People were doing interesting analytics research and applied research already in basketball.
And what was said was, well, there's five players on each team, so it's a lot less complex.
There's more games.
and we have more data and there's more scoring.
So you could derive metrics a lot easier.
And I think that the evolution in just how AI was applied in data availability, so going from, like Mike said, only on-ball events where we know which player made the pass, which player made the shot, but we always have to say, well, we don't know where all the other players are because those are not recorded.
And now we have the ability to make
highly complicated artificial intel or neural nets with this positional tracking data where at 10 frames per second or 25 frames per second, we know where all the players are and we know where the ball is.
And then additionally, at some point we will get full body pose so we know where like the whole skeleton of all players are basically.
Like that sort of went hand in hand and it felt like it was inevitable, but also the game is just more complex.
So it needed more compute, it needed more data, needed more knowledge.
You also don't look at individual events per se.
You might from an analysis perspective, but if you're building a basic predictive model for football outcomes,
You might just take all the scoreboard results from the last 10 years and then all those things cancel out.
Like if one team has a red card somewhere, you wouldn't even know from these models, but you can build some interesting, let's say, rudimentary or predictive models with just the outcomes of games.
This has generally been understood, I think, in the last couple of years or the last eight years as what the biggest problem.
You can build these models.
These neural nets already exist.
The main thing is the translation, like you said, from model outputs to code.
And I think in the last couple of years, most teams have found that they need an expert analyst, a data analyst, to do this conversion or this translation step where the coach isn't fed the data directly.
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