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A certain football stats website displays a term they call it " prediction risk" . for example prediction risk of team A is 300% [ which they mean " how often a team scores or concedes goals at close proximity of each other, for example if team A score core goal at 52 minutes and concedes goal at 58' its prediction risk will be high, and that will still be large if the situation repeats several times as the season goes.!] For example this team played a single march and it prediction risk is 300% . its pattern of scoring and conceding is like this one. Score at 5' , 14' , 58' , 76' Concedes at 47' , and 85' So... i am wondering how do they do it , which kind of programme language do they employ Or which kind of maths is this Or how can i do it on my own Or where can i go and read on how to do it HELP PLEASE 🙏🙏🙏

6th Jul 2022, 2:59 PM
enock joseph
enock joseph - avatar
1 Réponse
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Machine learning using python Studying past results to come ip with a prediction and risk accessment
6th Jul 2022, 3:47 PM
Igho Terry
Igho Terry - avatar