Hockey Talk: Why the layman eye-test and results sometimes differ for defenders?

Patrick Wiercioch - Ottawa Senators.jpg
Patrick Wiercioch – Ottawa Senators” by Lisa GanskyFlickr: IMG_6499. Licensed under CC BY-SA 2.0 via Commons.

Hockey Talk is a (not quite) weekly series where you will get to view the dialogue amongst a few of the Hockey-Graphs’ contributors on a particular subject, with some fun tangents.

This week we look at what makes up an effective defensemen and why the eye test sometimes differs from the results:

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Hockey-Graphs to take part of Vancouver Hockey Analytics Conference 2016

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Image courtesy of picswallpaper.com

Two of Hockey Graphs contributors, Josh Weissbock and MoneyPuck, along with two Simon Fraser University professors, Tim Schwartz and Oliver Schulte, are organizing the first ever Vancouver Hockey Analytics Conference (#VanHAC).

This is not the first hockey analytics conference, as there have been a few popping up in recent years,  including those in AlbertaOttawa, Pittsburgh, Washington DC and Rochester.

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Hockey Talk: Why the Kings were good at hitting a lot and also just good

Dustin Brown and the Stanley Cup.jpg
Dustin Brown and the Stanley Cup” by JulieAndSteveFlickr: Dustin Brown and the Stanley Cup!. Licensed under CC BY 2.0 via Commons.

Hockey Talk is a (not quite) weekly series where you will get to view the dialogue amongst a few of the Hockey-Graphs’ contributors on a particular subject, with some fun tangents.

This week we look at dump and chase systems and hitting:

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Why linemate and competition metrics may not be as simple as we think

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Competition Histograms by Eric Tulsky from NHL Numbers, Sep 23, 2012

ABSTRACT

We know that linemates have a larger impact on results than competition on the average. This has caused many to change player deployment chart axis from QoC to QoT metrics.

However, it’s not quite that simple.

The area of contextually nuanced studies with numbers like competition and teammate metrics is still well in its infancy. We have a general idea of what’s going on but there is a lot of information in the details.

We show here that a 1 percentage point change in teammate and competition Corsi% has an equal but opposite impact on observed output, but there are some differences. The distribution in the NHL is much smaller with competition. However, unlike with competition Corsi%, teammate Corsi% impact is not the same for all players.

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