"Another frontier approach to player and game performance analytics is to gather proprietary data on players. Most teams make use of widely-available data that is provided by their league or by commercial firms that sell player and team data. A few highly analytical teams, however, gather their own proprietary data, or adopt technologies that produce it. There are several examples across sports:"
http://www.sas.com/content/dam/SAS/en_us/doc/whitepaper2/iia-analytics-in-sports-106993.pdf
Then the article provides NON-NHL examples from nba, baseball and nfl on proprietary data.
Blackhawks:
"Models like this are commonplace in baseball, where Sabremetrics have a place in every organization’s front office, and they serve a valuable place in professional football even among viewers now that Fantasy Football is so popular. And while Bowman hints that many NHL teams have access to the same kinds of software and analytics tools, the Blackhawks have added their own “proprietary†toolset to make it more effective.
“Stats are what they are,†Bowman told the Sun Times. “There’s no disputing who scored the goal, or who was on the ice for the goal. That’s fact. What you do with that is sort of the real value. And I think there’s an art to it. The analytics themselves are very objective. But then you have to do something with them and draw conclusions.
“What we do is different,†Bowman added. “I think it’s better, but I guess it’s a matter of opinion. It’s also a competitive advantage. That stuff’s readily available, but what we have is more proprietary. Which is why I’m really trying not to talk about it. I think what we do gives us an advantage over other teams. They might say I’m wrong, but we’re pretty confident that what we have works.â€
http://www.nextgov.com/big-data/2014/05/what-feds-can-learn-chicago-blackhawks-data-analytics/83686/
Leafs:
"
Now the Leafs are going to the next level, announcing on Thursday a partnership with analytics leader SAS to help them with a data-driven approach to judging player performance and creating on-ice strategy.
SAS is more famous for using analytics to help banks and insurance companies make financially sound decisions. Now the company is going to provide the Leafs with real-time analysis of all the stats the NHL provides — and proprietary stats provided by Dubas and the Leafs — to help the team make decisions."
“The video system the team uses is so intricate and interesting,†says Dubas. “It produces a lot of data for the coaching staff and the front office.
“Scoring chances are certainly worth tracking, and certainly interesting. But we’re trying to go beyond much further beyond scoring chances. Scoring chances are more toward the end result of a much longer process.â€
The Leafs will continue to produce their own proprietary data.
"
http://www.thestar.com/sports/leafs/2014/10/16/maple_leafs_make_deal_with_analytics_company_sas.html