Analytics are a big part of the picture, if the were not every team in the league would just ignore them. I think that Patty Roy said it this past season.. " we love the Analytics when they support our pov, hate it when they don't, but in the end there is some truth to find in them" or something to that effect. Where they fall down imo is how you read them. You cant just take raw numbers because there are so many factors that are not accounted for. Some players play on a line that never has to go up against the other teams best, they are always sheltered so they have a clearer path to good metrics. They don't take into account someone who is playing through a injury or things like that. Its all in how a team reads them, and buyer beware if you are building based just on the numbers.
Anyone who can't watch a player play, and then know that's players worth at that time, knows jack shet about hockey talent. They can be helpful, but People who NEED analytics to make assessments should never ever be hired in hockey. Ever.
The instagram page in the beginning is @datadrivenhockey go follow him
both analytics & the eye test have their place in hockey. Alone, both are limited but together they create a much closer picture
I'll be honest this comment section has been fun as hell to engage with
Analytics are a big part of the picture, if the were not every team in the league would just ignore them. I think that Patty Roy said it this past season.. " we love the Analytics when they support our pov, hate it when they don't, but in the end there is some truth to find in them" or something to that effect. Where they fall down imo is how you read them. You cant just take raw numbers because there are so many factors that are not accounted for. Some players play on a line that never has to go up against the other teams best, they are always sheltered so they have a clearer path to good metrics. They don't take into account someone who is playing through a injury or things like that. Its all in how a team reads them, and buyer beware if you are building based just on the numbers.
Anyone who can't watch a player play, and then know that's players worth at that time, knows jack shet about hockey talent. They can be helpful, but People who NEED analytics to make assessments should never ever be hired in hockey. Ever.
Ryan McLeod passed the eye test about two years ago, hasn’t improved since then
I liked Mcloud to. It was a cap dump, we were lucky to get something good back. It’ll be hard to move Kane with his contract, and injuries
Who's saying Kane looks like a good player? Don't everyone agree that he's struggled since his first year in Edmonton?
The metrics are correct, but the interpretations from the data are where the mistakes occur.
Analytics fail to take into account intangibles. A "healthy " Evander Kane helps you in the playoffs.
“The blood of the heroes is closer to God than the ink of the philosophers and the prayers of the faithful.”