Technical and Tactical Football Analysis Through Data

How LaLiga uses and combines eventing and tracking data to implement novel analytics and metrics, thus helping analysts to better understand the technical and tactical aspects of their clubs.

This presentation will explain the treatment of these data and its subsequent use to create metrics and analytical models.

Connect with us:

[SiyaMedia]

eye opening presentation and well presented especially the bit of how the goal probability model is just for broadcasters and not the same thing as expected goal

[athaydenevesjunior]

really interesting knowing how all these data are processed behind the scenes. Plus, the presenter did a very good lecture about the content. Cool.

[ezrarichard]

I think the to a certain extent the same dataset can be used to train and predict the defence or keeper side aswell... If its not a goal then either the defence has blocked or keeper saved. So same Logistic Regression will be better for it 🤷‍♂

[YoussefAlaraby]

wow, that's really useful.
how can I find more lectures like this ?

[RahulPathakoti-igpy]

Presentation is really useful, where can I get the dataset ?

[bydariopoggi]

May I ask: how come the goalkeeper's quality is not included between the variables that the model uses to calculate the goal probability? Just as the player's quality influences the probability of the same player scoring the goal on that specific opportunity, the goalkeeper's quality certainly influences one's probability to score or not, doesn't it?

UPDATE: I noticed someone asked him about that, but still: what if there is no goalkeeper at all in the goal at the time the player shots? It seems to me as an important variable to consider, since we are talking about a goal probability after all (what if a child plays in goal?).