Let’s talk about some advanced analytics, one of everybody’s — or at least my — favorite things about sports. Analytics have become a much bigger deal in today’s NHL than they ever were before. It used to be that plus-minus was the only “advanced” statistic anyone really kept track of, but we now know that there are much better ways of measuring a player/team’s performance.
Today, we’ll be looking at Corsi, which is a way to measure shot attempt differential while at even strength. In other words, it measures puck possession for a team or for an individual while he is on the ice. Corsi takes a team’s shots on goal, shots blocked, and missed shots, and adds them together to get one number, also known as “Corsi For.”
SOG + Shots Blocked + Missed Shots = Corsi For
Then, the same thing is done “against” this team. An opponent’s shots on goal, shots blocked, and shots that missed the net, are added together to get “Corsi Against.”
The Corsi For is then divided by the Corsi For plus the Corsi Against to get the Corsi %
Corsi For / (Corsi For + Corsi Against) = Corsi %
Let’s take an individual skater’s example. Looking at Artemi Panarin, center for the Chicago Blackhawks, we can see that his Corsi For (SOG+blocks+misses) is 911 for the season. His Corsi Against is 679. We’ll plug those number into our equation:
911 / (911+679) = 57.3%
Anything above 50% is considered good, because it means that, more often than not, the team was controlling the puck while that player was on the ice. Based on this stat, we can gather that the Blackhawks possess the puck very well when Panarin is on the ice.
It’s pretty simple when you break it down, especially when you’re not the one tallying the Corsi numbers. If you’re interested in how a player on your favorite team is performing in terms of puck possession while he’s on the ice, check out the Corsi stat on hockey-reference.com or Corsica.