Investigating improved evaluation models for sports analytics

Stathletes是一家加拿大公司，成立的目的是开发一个全面的统计数据库，通过真实的可操作的数据来推动曲棍球的胜利。我们通过从单个游戏中收集数百到数千个微观数据，以确定玩家的特定动作，为客户提供专业的最深入的性能数据和分析，这些数据可能是性能测量的关键指标。预测曲棍球未来进球的统计方法具有挑战性，因为与篮球等 ** 运动相比，曲棍球的得分率相对较低。特别是在分析球队和球员的表现在曲棍球不到一个赛季的价值 ** 的数据，有我们的能力，以正确判断和预测性能的限制。为了在新兴的数据分析市场保持竞争力，Stathletes技术必须跟上该领域领先的研究人员开发的新统计方法。与布洛克大学合作，我们希望开发改进的预期目标和球员选择模型，用于我们广泛的绩效指标数据库。这将提高我们专有数据资产的价值，并 ** 确保我们保持优于竞争对手的上级预测能力。

Stathletes is a Canadian company, founded with the purpose of developing a comprehensive statistical database to drive winning**in hockey through real, actionable data. We provide our customers with professional hockeys deepest performance data and**analytics, by collecting hundreds to thousands of microdata from a single game to identify specific movements that players make**that may be key indicators for performance measurements.**Statistical methods of predicting future goals in hockey is challenging because there are relatively low scoring rates compared to**sports, such as basketball. Particularly when analyzing team and player performance in hockey with less than a seasons worth of**data, there are limitations in our ability to properly judge and predict performance. In order to remain competitive in the emerging**market of data analytics, Stathletes technologies must keep pace with novel statistical methods developed by leading**researchers in the field.**In collaboration with Brock University, we would like to develop improved expected goals and player selection models for**application to our extensive database of performance measures. This will enhance the value of our proprietary data assets and**ensure that we maintain superior predictive capabilities over our competitors.