My guess is all situation xG per game. That makes the most sense to use in the context of an NHL broadcast.

Was that all situations? 5v5? per60?

If I look at all situation xGF/60 I have Detroit 8th, Evolving Hockey has them 12th and Natural Stat Trick has them 10th so maybe not so dramatic a difference?

How does this compare to San Jose being out shot 31-7 part way through the 3rd period to Calgary?

Mostly just interesting. The challenge is that the NHL doesn't do a great job defining situations (does ES include 3v3 OT? Goalie pulled?) so it is hard to combine with non edge data.

However, there does seem to be a loose connection between the skating metrics and winning.

As always, if you find any problems let me know.

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The Skating report is probably the most interesting here. Colorado, Montreal and Edmonton are the fasted teams in terms of Speed Bursts>20mph per mile skated while the slowest teams are Calgary, Nashville and Dallas.

You can also see speed splits by forward and defense which is interesting.

I bet they don't teach their children that 1+1=3 in hopes that they will somehow learn that 1+1=2.

Longest 2 weeks of our lives.

I was curious about catalyse/catalyze so...

Budget 2021: 0
Budget 2022: 0
Budget 2023: 0
Budget 2024: 5 (catalyze)
Budget 2025: 20 (catalyse)

Those 2025 playoff teams that are underwater this year and their goal differential from last season are:

DAL +53
LAK +44
EDM +23
STL +21
MIN -11

One could argue they have never had as much success getting NDP(ish) policies into law than under the Trudeau minorities.

The question they have to answer is do they want to be a party with a platform that Canadians will vote them into government with or do they just want to be an opposition party?

No problem. Happy to help.

Hope this helps anyone interested in a hockey analytics career. If anyone has any questions just ask and I'll do my best to answer.

Finally, enjoy what you do. Don't get into sports analytics because you think it will be cool, get into it because its your passion and you love it. Working for an NHL team will be demanding at times. If you don't love it, it can wear you down. It isn't likely going to be strictly a 9-5 job.

Also, don't think NHL or bust. There are other possible hockey analytics careers. Several people run their own analytics websites and earn a living from it. Some write about hockey analytics professionally. You could also work for a data provider (SportLogiq, Stathletes etc.). There are options.

Now you are more likely to specialize in one area so maybe a data engineer or a statistician or a web developer or an analyst. Some teams may still be looking for generalists but that is definitely changing. So you'll need to think about what type of work you want to do and build towards that.

One thing that is changing in hockey analytics is you are starting to see specialists. When I worked with the Flames I had to do everything. Data engineering, database administration, website development, research and analysis, attending pro and amateur scouting meetings. etc.

You can also work in other sports leagues as a way to prove your experience. There are certainly people that have moved to the NHL from other professional sports teams (and vice versa). You just need to find something to set yourself apart from everyone else and pro sports experience would help.

A great avenue to a career in hockey analytics is to work (volunteer most likely) with a Major Junior or NCAA team. This is actually a great path because these teams now have access to some of the data NHL teams use that isn't publicly available. That experience will definitely give you an edge.