Papers

Text Mining and Improving NHL Draft Analytics

Combining performance data (“stats”) and scouting information is the Holy Grail of sports analytics. In this paper, we develop a methodology to combine scouting report information with performance metrics to improve the evaluation of players eligible for the NHL Entry Draft. In this new approach, text-mined data from scouting reports was used to develop variables for out-of-sample prediction. We demonstrate that by adding these variables to performance metrics, we can substantially improve the prediction of future performance. Below is a paper that we (Timo Seppa,  […]