Analytics (ice hockey)

Three commonly used basic statistics in ice hockey analytics are "Corsi" and "Fenwick", both of which use shot attempts to approximate puck possession, and "PDO", which is often considered a measure of luck.

[1] In modern usage, analytics have traditionally been the domain of hockey bloggers and amateur statisticians.

They have been increasingly adopted by National Hockey League (NHL) organizations themselves,[2] and reached mainstream usage when the NHL partnered with SAP SE to create an "enhanced" statistical package that coincided with the launch of a new website featuring analytical statistics during the 2014–15 season.

[7] Corsi is used to approximate puck possession – the length of time a player's team controls the puck – and is typically measured as either a ratio (like plus-minus) of shot attempts for less shot attempts against, or as a percentage.

It is named after blogger Matt Fenwick and is viewed as having a stronger correlation to scoring chances.

[5] Fenwick is used to help judge team and player performances that strategically use shot blocking as part of their game play.

[5] Strategically, coaches may give their best offensive players more offensive zone starts to try and create extra scoring chances, while a team's best defensive players will typically have more defensive zone starts.

The goal of RAPM is to isolate a player's play driving ability and quantify it with a value.

xG models essentially track which players are taking high quality shots.

[15] While hockey's analytical statistics can be used to measure in any manpower situation, they are most often expressed relative to play at even strength.