#1MinuteTactics – Studying The World Cup Of Hockey

When you bring the best players and coaches together, entertaining things happen. Not only that, but many of the tactical habits employed by elite hockey team are actually not so hard to grasp.

Here are five teaching points brought to us by The World Cup Of Hockey 2016, broken down and served up in just over one minute apiece:

1) Transition Play: Team North America’s Neutral Zone Mastery

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Tactalytics: Defending the Pass

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At the 2nd Annual Hockey Analytics Conference at the Rochester Institute of Technology, Matt Cane and I presented on new ways of measuring and evaluating defensive play. We used the passing data from my project to take a look. I believe Matt will write up his half of the presentation, so this post will focus on my half of the presentation. You can access our slides and view our presentation here. I will go into greater detail in this post since I am without time constraints. All of the data we used can be accessed here. Everything in this post deals with 5v5 play.

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#RITHAC Slides, Video, & Recap

On Saturday, September 10th, the 2nd Hockey Analytics Conference at the Rochester Institute of Technology was held. It was a huge success and this post has the slides for each presenter, as well as video for most of the day. We had some technical problems early on, but most of the event was recorded. There is also footage of the #RITHAC Cup that was held immediately following the conference (stick tap to Conor Tompkins for Periscoping the event).

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Why Deterrents Are Irrelevant

Hits. Long-forgotten when it comes to hockey analytics and for good reason. It’s been established in many places, even on this site by Garret Hohl, that how often you hit your opponent carries little worth when it comes to predicting goals. Sure, there will always be a play here or there that works out, but by and large hits are noise. Yet, that doesn’t stop teams from shelling out big money for players that can score and hit, despite all evidence to the contrary that the latter is noise. So, why bring it up? Well, someone retweeted this into my timeline Wednesday night and I couldn’t get it out of my head.

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Behind the Numbers: Why statistic-folks are sometimes assholes, UNjustifiably

Every once-in-a-while I will rant on the concepts and ideas behind what numbers suggest in a series called Behind the Numbers, as a tip of the hat to the website that brought me into hockey analytics: Behind the Net.

Here we go. Here is part two, to what really should have been part one in hindsight prior to this piece, which would have saved me some of the backlash on Twitter, as the point was frequently misunderstood. (And while we’re dealing with hindsight, the title was part of the misunderstanding as well.)

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Behind the Numbers: Why statistic-folks are sometimes assholes, justifiably

Every once-in-a-while I will rant on the concepts and ideas behind what numbers suggest in a series called Behind the Numbers, as a tip of the hat to the website that brought me into hockey analytics: Behind the Net.

It does not take long for Hockey Twitter to complete one full rotation on its typical life-cycle of subjects. The same debates come up on shot quality, grit and leadership, eye-test versus numbers, and how statistics should be used in player evaluation again and again.

These debates often come to an impasse. Sometimes they even deviate into ad hominem and red herrings. There are parties guilty on both sides, as one would (and should) expect there to be “assholes” in every demographic.

But why is the prerogative for being nice always on the “stats guys”? Why are the “analytics guys” the only ones needing to change their ways to make things better? Why is it that only one side is discussed to be less cordial than the other?

Why does this hypocrisy exist?

I have a theory on this.

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Weighted Shot Rates Based on the Passing Project

The Passing Project headed by fellow Hockey Graphs contributor Ryan Stimson (@RK_Stimp) is one of the most exciting things happening in hockey analytics. The project consists of dozens of volunteers manually tracking the passes that lead to shot attempts in games across the NHL. Thus far, the project has compiled data for nearly five hundred games. Ryan laid the groundwork for analyzing the project’s data in his piece here. That pieces discusses primary shot contributions (PSCs), which is a counting stat comprised of shots and shot assists. Shots in this article is synonymous with corsi meaning all shots and not just shots on goal. Ryan has built on that original work with a piece on offensive zone play here and a piece on neutral zone play here. And following his line of thought, I wrote a piece for NHL Numbers that expanded on his approach to offensive zone analysis.

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