Jordan Hewko, Robert Sullivan, Shaun Reige, Mohamad El-Hajj
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引用次数: 0
摘要
本研究旨在利用知识发现工具分析近6年的职业篮球数据。我们的目标是勾勒出一些关于团队如何获胜的见解，以及这些获胜的团队与失败的团队之间的区别。使用Microsoft SQL Server Management Studio、Microsoft Business Intelligence、R和PowerBI，我们分析了常规赛的比赛数据，以发现胜败球队之间以前未知的趋势。使用决策树，朴素贝叶斯和关联规则，我们将查看球队之间的防守和进攻数据。考虑以下数据:防守和进攻篮板，盖帽，抢断，失误，2分命中率和3分命中率。结果显示，防守篮板多的球队赢得更多比赛，而进攻篮板高于平均水平的球队输掉更多比赛。这是因为得到更多进攻篮板的球队投篮失误更多。
This work aims to analyze the last 6 years of professional basketball data using knowledge discovery tools. The goal is to outline some insight into how teams win and what separates these winning teams from the losing teams. Using Microsoft SQL Server Management Studio, Microsoft Business Intelligence, R and PowerBI, we analyzed regular season game data to find previously unknown trends between winning and losing teams. Using decision trees, naive Bayes and association rules, we will look at defensive and offensive data between teams. The following stats are considered: defensive and offensive rebounds, blocks, steals, turnovers, 2 point shot percentage and 3 point shot percentage. Results show that teams who earn more defensive rebounds win more games while teams that earn higher than average offensive rebounds lose more games. This is because teams that get more offensive rebounds are missing more of their shots.
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