From threat to momentum
Transcript
This chapter, from the episode video's captions · 534 words
9:11>> yeah I think that you explained quite well the principle I think that the the idea was to have a metric that can tell a story and include the most contextual information about football that we can find and we have in our data sets let's say. Um so yeah momentum was derived from another metric that is called threat and this metric you could think of it like a a bit of a layer cake with different layers. One of them is like a kinetic pitch control that takes into acceleration the acceleration and speed of the players and the direction they're moving in order to calculate on the pitch where the control from the
9:53different teams is. Then on top of that we have another layer pertaining the ball and this is also with the speed direction and height of the ball to see uh you calculate the trajectory and then you can know if a player would intercept the ball if it would go out of bounds or the ball would go to a teammate and then create more threat. Then we have another layer that is basically the pitch she would say danger underneath which is basically not just how close you are to the opponent's goal frame but also how the setting is of the opponent you know like the distance between the defenders and the
10:33goal frame the goalkeeper and the goal frame the attackers and the defenders and all these interactions which is quite rich and very dynamic football that I think that this is one of the things that makes it so interesting is that there is so much context and so much happening at the same time that brings u these challenges for us to represent the metrics but also makes it interesting and then we have another layer on top of that that is basically the side of the players looking at how clear is the view of the goal frame. So if they have a direct view or there are some players in between and how far you know because a player on your face will block much more than a player 20 m away.
11:14And then we bring all of this together and we have a thread calculation for each frame of the of the match. And then momentum basically what it does is feeds on this thread anal metric and depending on the amount of attacks, the length of the attacks and the strength of these attacks or the threat of these attacks will spike or go down, right? like the more that you see the more frequent the longer the let's say the more threatening these attacks are the metric will go up and then when the team basically subsidize a bit then starts to slow down and so on so it's a very very contextual metric that in a very short
11:55glimpse of time allows you to have the context of the or the history of the match and I think that that was the entire purpose of this try to tell a story in one graph of what has been happening until this moment in very much.
From 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.