I keep receiving the error - ValueError: axis must be fewer than the number of dimensions (1)-- When I run -- tracking_home,tracking_away,events = mio.to_single_playing_direction(tracking_home,tracking_away,events) -- I'm not sure what this means or how to fix it.
I didn't share the code for that as there isn't public data to run it on. I may well release it at some point, though. The methodology was very similar to that described here nessis.org/nessis11/rudd.pdf (although I broke down the pitch into more zones).
If pitch control is the probability of keeping the ball when passing to a certain location, I don't understand how to interpret the pitch control at the current location? Is it the probability of keeping the ball if you pass it to someone in the same 'grid' as you?
I keep receiving the error - ValueError: axis must be fewer than the number of dimensions (1)-- When I run -- tracking_home,tracking_away,events = mio.to_single_playing_direction(tracking_home,tracking_away,events) -- I'm not sure what this means or how to fix it.
Is it possible to share how you built the EPV model (the transition matrix basically)? I can only see the final product EPV_grid.csv on the github.
I didn't share the code for that as there isn't public data to run it on. I may well release it at some point, though. The methodology was very similar to that described here nessis.org/nessis11/rudd.pdf (although I broke down the pitch into more zones).
If pitch control is the probability of keeping the ball when passing to a certain location, I don't understand how to interpret the pitch control at the current location? Is it the probability of keeping the ball if you pass it to someone in the same 'grid' as you?
i.e. is it essentially the probability of not being tackled if you have the ball in a certain location?
@@Albyedw88 You can interpret it in that way. It's essentially the probability that you retain control of the ball if you were to pass it to yourself.
Which app it is
where are the previous videos?