No, the dinosaurs are even more wrong. And that's how we've had terrible moves based on a guy like Sbisa being 'good in scrums' or Prust being acquired to 'help Dorsett fight' or Gudbranson somehow being a top-4 defender because he's big and young and 'tough to play against' even though he's ridiculously easy to play against, or Sutter being a 'foundational player' and on and on and on. Just garbage acquisition after garbage acquisition based on false ingrained myths about winning from decades ago.
The nerds have it right - the most important thing in the NHL right now is to be a quality possession team, and that's the biggest, most consistent driver of overall success as an organization. And it is easy to see the bigger picture of who is a good possession team as a whole.
What is much harder - and where the nerds go wrong - is identifying which players are actually driving that success and why. There's just too much noise and too much context in the stats and anyone who thinks they can just look at numbers to figure out who is a good player is completely deluding themselves, and are going to make errors just as stupid as the dinosaurs with their 'hard to play against' BS.
The stats are a nice tool in some cases - IF you watch the team regularly, actually understand how the sport is played in 2017, and understand most of the underlying context that might be causing or skewing the numbers. Which almost nobody does.
I pretty much agree with this.
Understanding what players are going to help you score more or help you defend better should be what teams are looking for. I think the days of trying to cobble a team together based on perceived intangibles can get you in a whole lot of trouble, especially in a capped league.
I think hockey analytics, especially those that are publically available, are very much in their infancy. I think Corsi, in isolation, is not particularly useful - at least as a player acquisition tool. There is certainly some good information out there, and some of it is fascinating even if it might not be very useful. I think data and analytics are very much here to stay, and the best organizations are hard at work on proprietary data that can give them an advantage.
I do think there is probably still a place for "intangibles" or "chemistry", but those are things that are nearly impossible to quantify, and you can't really afford to allocate cap dollars to bad players that may be "good in the room".
As much as some people want to break the game down to 1s and 0s, there is still a human element at play. These are people, that can't or won't always behave in a predictable manner.
That was a bit of a ramble, but basically I feel like that analytics are incredibly usefully, especially if you understand they're also incredibly limited.