Analytics in Hockey

Number crunching, algorithms, and the future of statistics in Hockey.

Hey guys, I thought I'd post some of the Puck Possessed issues I have been working on lately, and see if people are interested. My goal is to visualize hockey data and analysis in a way that general fans can understand and enjoy. I also want to make sure the comic style pages perk some interest from younger hockey lovers. My most recent issue is actually a static video analysis of a beautiful & smart goal, broken up in screenshots, but typically I actually analyse hockey data, chart it and...
As per request from @Ripshot 43 before the season started, I have been reviewing every goal against in the league on every night since the season started. Early on, I made the mistake of not just making a chart with every goalie to play this year and keeping track that way. So the other night, I had to go through almost a month's worth of reviews and count them and put down every goalie in the league on a file on my computer, and count their stoppable goals and type them down. Then update...
I found this kind of interesting. Based on a very small sample, but might worth keeping an eye on. New York seems to have gotten much better defensively, but also seem to be very opporunistic, scoring at an average level despite being the worst team at creating High Danger scoring chances 5v5. Washington is hard to read - last year they were the worst team for trading chances 5v5, but they scored often and the PP was was top 10. I am not big into stats, I was just looking at some Leaf...
Goaltending. That’s right, that one little thing that can bail out a slacking team at any given night – and on the other hand, it has the power to ruin everything your skaters have done right in a matter of minutes. This past year, the top 10 goalies had an impact of 27 to 15 GSAA (goals saved above average), which is enormous and practically puts you in the playoff race by itself. On the other hand, if you happen to sign Scott Darling, the exact opposite is true. Few things in hockey are as...
Dominik Hasek is (as expected) by this metric the most dominant regular season goalie ever, with 7 straight seasons in Top 100. Although Hasek's two best seasons are significantly better than Roy's, Roy's top 7 seasons stack surprisingly well against Hasek 3rd to 6th best seasons.
I've taken draft class data from 2003 to 2016, with career games played and points, and cup winners from 2004 to 2018 to give a visual representation how each Draft Class compares to each other as well as give a breakdown of which teams have accumulated the most amount of First Liners/Top 4 D/Starters in the last decade of drafting. Feel free to offer thoughts/feedback! Link to the dataset is here if you want to filter to your team specifically or see the names (hover your mouse over the...
I thought it would be fun to measure the "value" of a Stanley Cup, year-by-year, as determined by the number of teams competing for it. This idea came about when I was thinking about how the 1950s Habs 5-straight Cups weren't as impressive to me as say; the Hawks 3-in-6. The reason is that I don't personally find it "impressive" that 1 team wins a cup in a small field of 6 teams. I might be underestimating the difficulty in that, but it's moot, really. So with that in mind, I set about...
As an alternative metric to points-per-game, I've been working on calculating the amount of points a player puts up in each game they play relative to their teammates and adjusting that based off of the player's age. I'm not familiar with any similar metrics in the NHL, but I wouldn't be surprised if one exists.
I would like to share with you team rankings based on the ELO rating system. This is purely mathematical based on wins and losses. Each team has a score. That score increases or decreases based on wins and losses. The amount of change is based on the score of the opponent. Eg. If a strong team beats a weak team then they don't gain a lot of points because it is expected. If a weak team beats a strong team then they gain a lot of points and the strong team loses a bunch. It balances out....
When "corsi" became a buzz word in hockey, there was definitely a revolution in the types of players teams would employ. Gone were the lumbering defensive defensemen who couldn't move the puck - it was adapt or get out. Gone were many floating goal scorers who let their linemates do all the work. But it seems that we've hit a point where the league has "homogenized" in those aspects. In 2008, the best possession team in the league had a CF% of 58.84% and the worst had 42.85%. This was...
I have put together a spreadsheet which compares all teams league wide.
I find a problem with basically all studies here (including my own) in that they require a lot of work and time. There are usually many hours of boring research to have to be done, in order to learn and know about many factors leading up to the end results. There also seem to basically always be factors "biasing" things, including (of course) "randomness" or "circumstances".
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