The only algorithm used in solving any football match goal is arithmetic programming.. Where you collect both teams total goals scored and conceived and evaluate arithmetically. Example evaluate 10 arithmetically Is simply ,(1234) thus,1+2+3+4=10 ..this preamble is an insight in my arithmetic programming techniques.
Absolutely yes. A data scientist can work anywhere. In a financial institution, as sports analyst, in any company where collection and use of data is key
110X70m, 22 players and one very quick ball, the situation can change 3 times for 1 second, these numbers create billions of absolutely different combinations, that's why it is really difficult to understand how this unpredictable game works)))
Thank you for interest, if you have strong footballers- you can have many different tactics, if you don't have them- you don't have no one tactic) Who can count all grains of sand? the same with football, of course, necessary to count, but 1- you have to know EXACTLY what do you need to count, and 2- how many, you can count? 10%?
Possibly too much data but there's some aspects of the game we can look at. For example penalties have a much smaller range of possibilities and more set variables (e.g. the distance from goal will always be the same).
That’s why focusing on performance analytics is so important. While it is very difficult to predict moves and on-game tactics you can predict when is the right time to make performance based changes or alter the flow of the game.
This Is The New Football Era ,If You Guys Use This ,this all time Then There's no Wonder NYCFC Can Make It To The Finals And Win The MLS Cup and Stay 1st Place In the Table^^!
