EP 49 · 12:09

Tracking the match at 50 Hz

From FIFA Data Scientists Explain Match Momentum

Episode
4/14
Watch FIFA Data Scientists Explain Match Momentum
In this chapter

FIFA's Match Momentum starts with tracking data captured 50 times per second. Juan Busso and Arron Ackerman explain to Lester Nare how the system evaluates threat from the positions and movements of players, then turns that changing threat into a momentum measure over time. They distinguish the tracking input used by this metric from FIFA's wider collection of match-event data.

  1. 01

    A sampling rate of 50 Hz means 50 observations per second, or one every 20 milliseconds.

  2. 02

    The guests describe two layers: estimating threat in each frame and assessing its evolution over time.

  3. 03

    According to the FIFA team, Match Momentum uses tracking data rather than event data.

Transcript

279 words · auto-generated from the episode video

12:09>> This is this is fascinating. So if I'm if I'm understanding you both correctly, there's a there's an initial there's almost like two layers to this, right? The initial layer is taking you know multiple pieces of context which is being identified as the threat threat metric and that's being taken every frame meaning basically every some time period you know 500 milliseconds a second what it might be >> it's 50 Hz the tracking data that we have. So 50 Hz. Okay. Incredible. And then so you use that as sort of the base and then that change over time and sort of basically a little bit of an algorithm on top of that is how we then create what we sort of define as momentum which is a combination of all

12:50these contextual layers combined. Yeah. Exactly. And how they are sort of eb and flow over a time period. That is that is very interesting. And I think one of the things um Juan especially you brought up there as well is um that there are so many points by which the data can be captured, right? So can you guys actually talk a little bit more about between passes, player movements, other match events which have to be tracked in real time which is an incredible processing challenge independent of just the actual data analysis challenge. But is it you know computer vision? Is it optical sensor data? like how does this sort of uh mesh of sensors really work

13:33together? >> So I'll give you for for momentum first and foremost it's purely tracking data. There is no event data in it whatsoever.

From the episode
  1. EP 49

    FIFA Data Scientists Explain Match Momentum

    FIFA data scientists Juan Busso and Arron Ackerman explain how player tracking, pitch control, space creation, and threat are transformed into the World Cup’s Match Momentum visualization.

    FIFA Data Scientists Explain Match Momentum

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