Using the PageRank Algorithm to Rank Football Players in a Game

There are many methods to rank football players based on their performance in a game or series of games. However, since most subjective, this paper proposes the PageRank algorithm as an objective method team, where can be considered nodes, and passes made between them edges graph. To achieve this, we consider weighting functions, which parameters number quality well actions individual game. In paper, chosen for implementing rankings is 2018 World Cup Final France Croatia. The functions then combined multiple ways create different models, hare implemented Python compute rankings. models compared with official during help Kendall's Tau Correlation Coefficient order find distance two ranking vectors. While results may not highly accurate tested additional factors influencing player performance, account for, through more functions. This would lead results, thus making promising tool