Abstract The goal in this article is to determine whether xG data is impacted by where the games are being played. Do certain arenas impact the shot location data one way or the other? All data for this article is 5v5 data from http://www.evolving-hockey.com Henrik Lundqvist vs. Tuukka Rask A big part of the inspirationContinue reading “Indications that shot location data is flawed – Depends on where games are being played”
Category Archives: Statistics
Interpretation and redefining of Evolving-Hockey’s GAR and xGAR models.
Redefining evolving-hockey’s GAR and xGAR models, so they correlate directly with goal differential.
Blog 12: Predicting the past
The first draft of an actual projection model
Blog 11: Predictability of on-ice metrics
How predictable are on-ice stats like corsi and expected goals? And how does that compare to the predictability of LS-GAA?
Blog 10: Player projections – The repeatability of LS-GAA
Is it possible to project future LS-GAA values? How predictable is the model?
Blog 9: LS-GAA and percentile – Is hockey a strong or weak link sport?
Is top end players more impactful than overall depth?
Blog 8: Player tiers based on LS-GAA
In this blog I will try to put players into tiers based on their LS-GAA. To start with I will look at the forwards. The thought process is that there’s an elite tier with a small, but very impactful group of players. I have made 5 tiers – Tier 1: Elite players, tier 2: 1stContinue reading “Blog 8: Player tiers based on LS-GAA”
Blog 7: Correlation between LS-GAA and Cap hit
How well do cap hits correlate with player performance (LS-GAA)?
Blog 6: Player evaluation – The Goaltenders
Discussing the voodoo that is goaltending – can you isolate and evaluate goaltender performance?
Blog 5: Player evaluation – The Defenders
How does LS-GAA rank defenders? We take look here.
Hockey-Statistics 