TO has hired fancy stat experts, guys who have come up with Corsi, Fenwick and other such stats and so has other teams hired such people. Why hire them when the info they published was commonly available?
It has been addressed by someone else in the thread, but I can repeat it. A company collects data and then sell its to teams who are willing to pay lots of money for it. Data can be interpreted in many ways. The guys who dubas brought in, their job is to analyze it properly and look for inefficiencies (who's an undervalued player, which areas can a team improve, when to rest a player, should we call up Rasmus Sandin, or even which upgrades should the stadium have and etc). We are not hiring them to gather data. We are hiring them to interpret the data and create statistical models.
Also keep in mind that not all NHL teams use the same metrics. Columbus, on Tortorella's request, collects a stat that measures how many passes that defensemen make between each other before they break out. Tortorella does this because he has a theory that if dmen pass the puck too much, it leads to bad things. The point I'm trying to make is that the analytics program for each team is different from other teams. They track different stats because they play differently.
Who are the people publishing Corsi stats and other such stats, how do they have the time to view and evaluate 2,460 games plus playoff games? As far as I know these stats are provided by volunteers who probably are like Leaf fans viewing Leaf games, or Ottawa fans viewing Ottawa games and on and on. Leaf fans have a Leaf bias, Ottawa fans an Ottawa bias so how accurate are these commonly available stats?
They are usually companies who make money off it in some form. John Chayka, former Arizona GM, was co-owner of Stathletes, which is a company that provides hockey analytics. That is one example and to access their data, you need a lot of money. They don't provide this info to fans. Sites like Evolving wild, hockey-reference are great for fans, but most likely useless for other teams. What these companies most likely do is develop and run algorithmns that scan various games and the programs most likely collect the data automatically. Then these companies sell this data for lots of money. It's kind of similar to when you go on facebook, enter your personal information, join a bunch of groups and then facebook sells that info for lots of money to a company like cambridge analytica who then processes this info and sells it to the trump campaign who then uses it to win the election. Same concept. I think.
No, these stats are not provided by leaf volunteers and definitely not from Ottawa fans because they don't exist. Where did you get this idea?
Plus and Minus is a stat that the NHL actually pays someone to ascertain, it's a professionally provided and derived result, it might not be perfect but I think it's the only reliable stat that's available to us, the fans.
Even non-analytics folks don't trust plus/minus. The problem with plus/minus is many. Teams who score a lot more than their opponent will have players with a good plus/minus. They don't even have to be good players to have a good +/-. Brett lebda was a +16 in the 06/07 season. Connor brown was a -70 in his draft year because his team sucked. You can easily have a bad plus minus if your goalie lets in a lot of goals or if the coach sucks or if the d sucks. A lot of players with bad plus/minus may be ones with the toughest defensive assignments. Plus/minus tells us nothing.
TO, Ottawa and other teams have analytics departments, I'm positive teams that have analytics dept. don't trust or rely on what many of we fans consider to be the bible.
I don't know what the hell you mean by the bible. People who look at analytics don't follow the same stuff. Lot of people still follow corsi and fenwick. Lots like WAR/GAR. I actually don't like WAR/GAR. I personally like RAPM even though it overvalues zone starts. I also look at zone data, but that forms a small portion of my analysis. There are a lot of micro-stats ranging from pass data, zone data, there's even some on 50/50 battles. We all like different things.
An example of an amateur or biased results might be hitting, the Islanders have tradionally lead the NHL in the number of hits for the last 10 years(I'm guessing here) because they pad their home stats.
No one who follows analytics looks at hits. Also, I believe hits is collected by the home team. The companies who collect data strive for objectivity as they have algorithms that do it automatically. Where there might be subjectivity is for example, what constitutes a hit, but the data is usually accurate. It's what you do with the data that matters the most.