OMG67
Registered User
- Sep 1, 2013
- 10,708
- 8,862
I have to agree with few points on both ends of the argument, but in the end, if you guys are "accepting" that there is corruption in the process, then your argument goes out the window and people will start to question the credibility of the whole process. It doesn't matter how many rounds you increase or decrease the draft, there will always be a few rounds where well to do families and agents will pay, favors will be done and Ex-NHLer's kids will be given the benefit of the doubt, under the guise of "upside potential" vs some kids that maybe deserve a chance to GROW into a hockey player.
Is the answer coming up with a statistical approach with an independent panel? Therefore you can show that Nikitia Ilechenko, who has 3 points in 23 games, deserves an opportunity to grow into a player vs other kids or Aiden Biachnini who has 6 pts in 33 games, is a better skater, has higher IQ and ice time efficiency rating than the kids mentioned above. If you argument has data to back it up, then people wont be as pessimistic.
I love the game to much to watch it be diluted by money or nepotism.
You cannot apply a statistical approach because scouting is very subjective. I guess you could create some sort of mathematical forecasting tool where you plug in a bunch of data and the forecasting tool would spit out the statistical likelihood of a player playing in the NHL but some of the attributes that woudl be input into the forecasting tool would still be subjective. And, you would also need to normalize the scoring to make it apples to apples and I doubt that would happen with multiple people analyzing the attributes and the number of times each analyzer is exposed to the recruit.
For example, a scout may apply a score or rating on specific attributes and then give the player a final score. But you still have a bunch of different people viewing the player on different days under different performance metrics etc. I don’t’ see a way to normalize the data in such a way that you could apply a statistical approach.