flagyl 100

Metrics We Use: Corsi Rel QoC

Always funny.

Always funny.

In the next chapter of Metrics We Use, I am going to look at Corsi Rel QoC. For those that need a refresher on the other metrics, please refer to our Metrics We Use page. Corsi Rel QoC is a metric that is used to measure quality of competition faced, but it is much more accurate than straight QoC. QoC sometimes is skewed by puck-luck, whereas Corsi Rel QoC is only weighted based off RCorsi. This makes for a more accurate depiction of quality of competition faced. Like most metrics, the values are generally between +1.00 and -1.00. The higher the number, the stiffer the quality faced. The lower the number, the more sheltered a player is.

 

Looking at the Rangers, the numbers are interesting. The numbers also illustrate how important Carl Hagelin is to this team. His Corsi Rel QoC is tops among forwards, meaning he faces the toughest competition on a nightly basis. That said, he also has the highest RCorsi on the team, meaning he drives puck possession better than anyone else who puts a blue sweater on. Combine the two, and you have a puck possession monster.

The numbers also illustrate how much Brian Boyle’s role with the team has diminished. Last season, he had a .446 Corsi Rel QoC. This season, he’s down to -.186, which shows an extreme drop in Torts’ confidence in his shutdown center. Just goes to show you that last year’s metrics do not always apply to the current situation. Boyle is a prime example.

But perhaps the most interesting aspect of all of this is that the Rangers have so few players in the positive. As mentioned above, a positive Corsi Rel QoC means tougher competition faced. Only nine players (six forwards, three defensemen) are on the positive side of this metric. Last season, there were 14 players on the positive side of the metric. That alone shows how unbalanced this team is/was at the deadline. The coaching staff simply trusts less people to get the job done, and it showed not only on the ice, but on the statsheet.

7 Responses to “Metrics We Use: Corsi Rel QoC”

  1. Tim says:

    Is there a better way to look at power play %? It doesn’t make sense that you can have a power play with 5 seconds left in the third period and if you don’t score, it effects your teams PP% so severely.

  2. Tim says:

    also this might be a stupid question but when finding QoC, what determines how competitive a player is?

    • Dave says:

      What do you mean by how competitive a player is? How effective he is playing against particular competition?

      • Tim says:

        “The more time seen against opponents top players, the higher the QoC.” What are the traits for a top player at the time?

        • Dave says:

          Since this is a Corsi driven stat, it’s based off players who are better at driving puck possession.