Practical Concerns: On Anchoring, Delight And The Frederik Andersen Contract

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One of the things I am trying to work on this summer is to be more self-critical about the way I treat and act on information. Frederik Andersen’s trade from the Anaheim Ducks to the Toronto Maple Leafs, and his subsequent signing of a five-year, $25 million contract proved to be a good opportunity in that sense.

Initially, I cringed a bit at the term and cap commitment Toronto made to Andersen. Five years is a long time and $5M per year is a big money for a guy who is not guaranteed to play all that well.

But I could be very wrong on that.

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Blue Jackets Coach Todd Richards’ Firing, & Why the History Doesn’t Agree With Mike Harrington

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Photo by user “Arnold C,” via Wikimedia Commons; altered by author

The Columbus Blue Jackets made a bold move today, firing their coach of 3 1/2 seasons Todd Richards in favor of noted firebrand and Brandon Dubinsky fan John Tortorella. The move, riding the coattails of a 0-7 start for the Jackets, was done unusually early in the season, so unusually I decided to spill a little ink on it.

Around the same time I was rounding up the data, the esteemed (Buffalo Baseball Hall of Fame!) Sabres writer and analytics pot-shotter Mike Harrington decided now was the time to defend a decision that made little sense, about a team he doesn’t write about. It started with a reasonable tweet from Friend of the Blog Micah Blake McCurdy:

At which point Harrington followed:

Alright, Mike, let’s take a look at the “numbers that count,” according to you. There’s a fun history here.

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Practical Concerns: How To Replace Superstar Goal-Scoring

Photo Credit: Derek DrummondPhoto Credit: Derek Drummond

Earlier this week, I read an interesting story by Frank Seravalli on TSN.ca on Mike Babcock, Phil Kessel and the Toronto Maple Leafs, which is a good read for anything interested in how coaches think. For me, it also illustrate another way analytics could be employed to make a coach’s life a lot easier and take out some of the guesswork inherent in the job.

It was not too surprising to hear that Babcock was already thinking about how to get the most out of his team this season while on vacation, but I am very curious about his thought process behind how best to replace Phil Kessel. But before we start thinking about how to replace Phil Kessel (or his production in aggregate), we need to start thinking about how we are to measure a Phil Kessel’s offensive contribution.

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NHL Analytic Teams’ State of the Union

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Fandom means a lot of different things to different people. But one thing unites us all: we hope our favorite team will win, and spend a great deal of time thinking how they can.

For those of us who dig a little deeper on the “how” side and use analytics, we hope that our work will eventually make its way to a front office. In some ways, it already has: numerous “hockey bloggers” hirings have been made recently.

But how many and for which teams?

With some research, I’ve culled a working document on all analytics hires for NHL teams and how they may be using analytics. The following descriptions comes from a variety of sources including Craig Custance’s Great Analytics Rankings [Paywall], fellow bloggers from across the internet, media reports, word of mouth and anonymous insiders.

It should be noted that just because a team has made an “analytics hiring”, it doesn’t necessarily mean that they value their input or use the analysis provided properly. In fact, hires can be made simply for PR reasons, and some teams may even give analytics tasks as secondary duties to staff members who do not posses any formal background in the subject. Teams may also have hired private firms providing proprietary data, which in reality may not provide any tangible, verifiable value than what is free and readily available online.

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A Tank Battle in Pictures: Toronto Maple Leafs, Edmonton Oilers, Arizona Coyotes, & Buffalo Sabres in 2014-15

Having just added the 2014-15 season to our historical comparison charts, now was a good time to revisit (as I promised in my posts here and here on Pittsburgh’s 1983-84 tank battle) this season’s battle between Arizona, Toronto, Edmonton, and Buffalo. To do this, I tracked the progression of each teams shots-for percentage across two periods (or 2pS%), a possession proxy I developed for historical data that can help us compare teams back to 1952. As you can see above, the perception of the tank battle among these four teams wasn’t quite accurate to their results; Edmonton and Buffalo did not seem to have a marked drop-off in the final quarter-season.

Arizona and Toronto, on the other hand, did noticeably drop, and in Arizona’s case to a level below the hapless Sabres. Ultimately, the fight was more to maintain their improved odds, because Buffalo managed to hold at rock bottom. As I asked when I wrote about the topic with Pittsburgh in mind, it still gives rise to an interesting question: is it more wrong to tank than to maintain a low level all year? In some cases, a team that’s already laid low doesn’t need to tank deliberately…but on the flip side, I suppose that team also assumes risk in losing support and fans by not appearing competitive all season.

How did the Coyotes and Maple Leafs compare to what I’ve christened the “gold standard” for tanks, the 1983-84 Pittsburgh Penguins’ tank for Mario Lemieux? Well, the nice thing is that the plus- and minus-one standard deviations in 2pS% were virtually identical in 1983-84 and 2014-15, so I didn’t have to tinker with them:

While Pittsburgh had probably the starkest, earliest drop-off, both Arizona and Toronto were able to reach the same kinds of lows by the end of the season. To their credit, while the Coyotes and Leafs were, at best, in the lower half of the league in possession, they certainly did their best in the race to the bottom. You could question the wisdom of this kind of thing, since Pittsburgh was guaranteed the top pick if they reached the cellar, while this year’s tanks were struggling for a higher probability.

The Greatest Tank Battle: Penguins vs. Devils, 1983-84

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Mario Lemieux with Laval of the QMJHL in 1984; photo by http://www.lhjmq.qc.ca/ via Wikimedia Commons

What do you do when a 6’4″ QMJHL forward who scored 184 points in 66 games in his last underage season scores at a 282-point pace in his draft year? You tank — you tank as hard as you can. In the latter half of the 1983-84 season, the Pittsburgh Penguins and New Jersey Devils were in an unspoken, pitched battle for the bottom of the league and everybody knew it. While the Penguins would ultimately win out, sputtering to a 16-58-6 record (“good” for 38 points in the standings) to New Jersey’s 17-56-7 (41 points), the two teams were coming from distinctly different franchise backgrounds.

Using information from our new interactive charts, we can see what set these teams apart, and led them to take different paths in what turned out to be a pretty wild race to the cellar of the NHL.

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The Art of Tanking: The Pittsburgh Penguins in 1983-84

While tanking is a hot topic in this year’s NHL, the act of tanking is as old as the idea of granting the worst teams a shot at the #1 pick in the draft. Case in-point: the 1983-84 Pittsburgh Penguins, routinely considered the most overt of tankers in NHL history. The graph above is just one example of their tank, and man is that bad. The yellow and grey lines indicate one standard deviation above and below league-average historical possession (using 2-Period Shot Percentage, or 2pS%, explained here). The blue line is a 20-game moving average (the orange is cumulative), and you’re seeing that right; a team close to the middle of the pack dropped nearly two standard deviations, or from near the top to near the bottom of the league. That graph, and all the ones below, are just some examples of the kind of tinkering you can do with our new interactive graphs, which I highly recommend you check out.

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The Hockey Graphs Podcast (EP 5): Leafoilers

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Welcome to the fifth episode of the Hockey Graphs podcast, where Rhys Jessop (of Canucks Army and That’s Offside) and Garret Hohl  (of Jets Nation and Hockey-Graphs) continue talking about hockey while learning how to podcast. Join us as we talk about fixing the Oilers and Leafs in one swoop, the Canucks BIG pick-up, and the Sabres-Jets trade. Continue reading

The Hockey Graphs Podcast: Episode 2

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Welcome to the second episode of the Hockey Graphs podcast, where Rhys Jessop (of Canucks Army and That’s Offside) and Garret Hohl continue talking about hockey while learning how to podcast. Join us as we discuss the CSS rankings, Vancouver Canucks, Winnipeg Jets, Toronto Maple Leafs, the NHL’s disciplinary practices, and the up coming All-Star game. Continue reading

One of the many issues with the Toronto Maple Leafs

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Rand Carlyle was recently fired from the Toronto Maple Leafs. This brought joy to many online Leaf fans as many –legitimately– believed Carlyle to be a source of the Maple Leafs consistently being out shot, out possessed, and out chanced.

Of course, Carlyle was not the difference between the Leafs spontaneously becoming a contender in the east. There are issues with the Maple Leafs that will take some time for Brendan Shanahan and company to fix. Continue reading