Implementing data analytics for U.Va. Football

Elkins, H. K.; Beane, Austin; Cherkes, Jake; Clougherty, William; Krohn, Joseph; Sellars, Henry; Scherer, William T.; Valeiras, James

doi:10.1109/sieds.2017.7937717

Cited by 4 publications

(1 citation statement)

References 2 publications

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“…[3] The output from the various models must be compared in order to determine which one has the maximum accuracy. [4] contrasts several models.…”

Section: Related Workmentioning

confidence: 99%

Player Performance Prediction in Football Game

Jha¹,

Rani²

2023

Preprint

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In the game of football (soccer), evaluation of players for transfers, scouting, team building, and strategic planning are essential. Due to the huge pool of grassroots players, brief career span, varying performance over the course of a person's career, various play circumstances, positions, and variable club resources, it is difficult to determine a player's total performance worth. In order to approach this difficult topic analytically, our Player Performance Prediction System draws knowledge from a range of football player abilities and traits. It takes into account the football player's skill set values and forecasts a performance value that shows the player's potential for progress as well as his or her capacity. The objective of this system is to help team managers and coaches both at the amateur and professional levels find the football players who have the best chance of succeeding in the future without being influenced by arbitrary variables like club finances, league competition, or player importance

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“…[3] The output from the various models must be compared in order to determine which one has the maximum accuracy. [4] contrasts several models.…”

Section: Related Workmentioning

confidence: 99%