Third academic analysis of EPL (Maths S1)

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I am about to do another academic analysis of the Premier League, after finding out outliers in the big 5 leagues, and analysing correlation and regression with the final tables from the 2017/18 and 2018/19 seasons.
This time, the analysis will be about discrete random variables and expected values. The website Football Web Pages has a predicted final 2019/20 table, but I don't know how they compute the final points, such as predicting 112 points for Liverpool and only 3 home wins for Southampton, but I see that they have percentages written for home win, draw and away win for every game.
I will use this analysis to predict the points tallies for every team, and to find out when it is mathematically impossible for any team to catch Liverpool in the league.
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