These statistics provided us with more detailed information about the played games. In this paper, we analyze statistically significant differences in these ...
The goal of this paper is to analyze some of these new statistical categories and their relationship between the winning and the losing basketball teams.
The effective passing ratio is proposed, a novel statistical category, which also demonstrates large differences between winning and losing teams.
Basketball. Conference Paper. Analyzing the influence of player tracking statistics on winning basketball teams. May 2018. DOI:10.23919/MIPRO.2018.8400276.
Analyzing the Influence of Player Tracking Statistics on Winning Basketball Teams ... marking teams with 50+ wins in a season as a winning team and; marking ...
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Dec 10, 2020 · A team that has a lead sometimes prefers lower variance outcomes, and this model can help assess how well players make in-game decisions in ...
Jun 30, 2023 · It provides additional context to the traditional data, especially shooting and closing out on D. It's pretty obvious that most players shoot better when no ...
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May 3, 2024 · Sports analytics has changed the NBA in a lot of different ways,” he said. “We've got access to things like player-tracking datasets.
May 17, 2023 · In this article, we analyze what player profiles and statistics are undervalued in the NBA market.
Oct 22, 2024 · Player tracking data represents a revolutionary new data source for basketball analysis, in which essentially every aspect of a player's ...