I am always a fan of a writer that uses his or her imagination to give the reader a better understanding of what a player can and can’t do.
That is the case with hockey analytics writer Matt Frattin.
His latest work is a powerful essay that I think is well worth the time and effort to read.
It was written for NHL.com, and has been translated into Spanish, German, and Russian.
It is based on a piece by Fratti that he wrote in March 2016 for the Hockey Prospectus.
In the essay, Frattlin examines the statistics that are being used by the NHL and its officials to determine whether players are or are not good players.
The author uses a number of statistical models to assess the validity of those analyses, and in doing so, he makes an important observation about what is happening in the hockey world these days.
“I am no hockey fan,” Frattini writes.
“But the fact is, there is a growing sense among hockey fans that the stats are wrong, and they need to be changed.
And that is why I am writing this article.”
“Informed hockey writing”The piece is written in a style that is easy to read and understand, and it is full of data that Frattinis analysis can be applied to other aspects of the game.
In his introduction, he states that this is not an opinion piece.
It should be read as an attempt to give some perspective on how things are going in the NHL, and how the stats can be changed if that is the goal of hockey fans in the future.
It makes for an interesting read and one that I am sure some readers will find interesting.
For those unfamiliar with the hockey analytics industry, it is an area of sports science that is dominated by the Boston Bruins and their management.
The hockey analytics community is heavily represented by a handful of companies that provide data to NHL teams.
What is an analytics professional?
The term analytics professional, in hockey parlance, is a way to describe a person who is involved in hockey analytics.
An analytics professional is someone who collects, analyzes, and reports on information that is being gathered by an organization or league.
This is done in an effort to understand what the sport is really about.
Some of the most popular analytics products used by NHL teams are Opta, Corsica, Puckalytics, and Corsica.
They are all owned by the Toronto Maple Leafs.
It is also worth noting that many analytics firms also work for the NHL.
As Frattinas research for the piece indicates, many of the NHL’s top analytics analysts are also involved in other areas.
He writes: “Most analytics firms are based in Toronto.
That makes sense.
When the Maple Leafs’ analytics department was formed in the fall of 2015, it included three people who are now all the executive directors of the Maple Leaf Sports & Entertainment Company.
A number of them have also worked for the Leafs.
In addition, they are all former Maple Leafs, and one of them, Jeff Brown, is now the president of the Canadian Hockey League’s (CHL) Toronto Marlies.
” The Maple Leafs analytics department was formed in 2015.
In the years since, the Maple Leaves have hired dozens of people to run their hockey analytics department.
There are also other analytics firms based in Quebec, which means that there is also a lot of overlap with the NHL.”
The piece ends with a quote from the famous sports psychologist who is credited with having coined the term “analytic rigor” that I have used as the title of this piece.
There are many reasons why analytics is growing so rapidly in the sport of hockey.
The game is fast becoming a very competitive and sophisticated one, and the technology that is available to the players and the officials is making it a much more efficient and comprehensive process.
I think the most important factor in all of this is that it is becoming more and more about the hockey players themselves.
I think that a lot more of the attention that is paid to analytics today is due to the success of the Leafs’ and their organization.
They have put the team on the map and the players have embraced the change.
As Fratini explains in the essay: “In many ways, the NHL has been the poster child for this transformation in the game of hockey.”
Read more: Hockey’s analytics revolution has been happening for some time.
The most obvious example of that is how the NHL is using analytics in the search for talent.
In 2015, the Toronto Marlie hockey team won the Calder Cup, the top of the Eastern Conference, and were one of the top teams in the league.
The team had one of their better seasons ever.
They were a strong possession team, and a strong puck possession team.
They also had a solid defensive core.
They won a Stanley