Binning to Overcome Noisy Data

Apparently hockey analytics hates “binning” and ‘petbugs’ is the latest to write about it today over at Hockey Graphs. There are reasons not to use binning, however binning can help overcome noise in observed data. As this is a hockey blog lets use shooting percentage as an example. In hockey, shooting percentage observations show a lot of randomness in them due to the small sample sizes we are dealing with.┬áHere…

March 31, 2017

Rielly and Quality of Competition

March 23, 2017

The issue of the importance of quality of┬ácompetition is a hotly debated topic in hockey analytics. On the one hand it is easy to believe that players that play shut down roles against the opposing teams top players are likely to have their statistics negatively impacted. On the other hand, hockey analytics hasn’t been able confirm that is true as most analysis suggests the impact of quality of competition is…