Currently, I’m working on re-building my database and models. In this series I will take you through the process. The aim is to be as transparent and precise as possible. I will share all my code and all my files for everyone to use. Hopefully, this can be helpful in getting more people into hockeyContinue reading “Hockey Analytics – xG models v. 2.0”
Category Archives: Ikke kategoriseret
Hockey Analytics – Building xG models in Python
Currently, I’m working on re-building my database and models. In this series I will take you through the process. The aim is to be as transparent and precise as possible. I will share all my code and all my files for everyone to use. Hopefully, this can be helpful in getting more people into hockeyContinue reading “Hockey Analytics – Building xG models in Python”
What the future holds!
In the last few days, I’ve been thinking about the next steps for Hockey-Statistics.com. I’ve decided to write an article about my thoughts. This puts some pressure on me to get things done, and hopefully I will get most of the following ready for the upcoming season. Model Building: As soon as the post-season finishesContinue reading “What the future holds!”
Game Projections – January 22nd 2021
Originally posted on Hockey-Statistics:
Here’s how the model compares to other public models: Game projections will be updated here daily. All games so far can be found here. The home ice advantage has been cut in half due to empty seats. I will reexamine this in a few weeks.
What is hockey IQ?
Abstract: This is me taking off my statistical glasses and putting on my coaching glasses. With the NHL draft behind us, I want to share my view on non-statistical player evaluation. Meghan Chayka declared the term “Hockey IQ” banished yesterday, so I figured I would give you my interpretation of on-ice decision making. Talent vs.Continue reading “What is hockey IQ?”
Projecting future results – Skater edition
Abstract: I have previously introduced the sGAA model (See here), which is primarily a descriptive model. Now I will introduce a predictive counterpart – projected sGAA or p-sGAA. It’s based on 3 years of weighted data. sGAA describes past performances while p-sGAA projects future performances. The projection model: The model is basically based on 3Continue reading “Projecting future results – Skater edition”
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