Compass Hub
Home Page
Take a Quiz
Take a Random Quiz
Log In
Sign Up
NHL Player Evaluation Testing
Public Analytics models do a good job of purveying aspects of hockey that can not be observed on the ice.
Strongly Agree
Agree
Neutral
Disagree
Strongly Disagree
Some NHL players contribute to team success and perform better in the playoffs which makes them better than players who have not succeeded in the playoffs.
Strongly Agree
Agree
Neutral
Disagree
Strongly Disagree
A bottom six forward or middle pair defenseman who has succeeded on a playoff team has more value than a bottom six forward or middle pairing defenseman on a non-playoff team with better statistics
Disagree
Strongly Disagree
Strongly Agree
Agree
Neutral
Underlying numbers are a good way to evaluate a player's ability as a hockey player
Strongly Agree
Agree
Neutral
Disagree
Strongly Disagree
Analytical models do not capture everything a player is able to do on the ice
Strongly Agree
Agree
Neutral
Disagree
Strongly Disagree
There are many players with good underlying numbers but if you actually watch them, you will know they are bad
Strongly Agree
Agree
Neutral
Disagree
Strongly Disagree
Player cards that use percentiles to evaluate players compared to the population of all players in their position do a good job at providing an accurate ranking of skill in the NHL
Strongly Agree
Agree
Neutral
Disagree
Strongly Disagree
"Low ability" players who have contributed to playoff success in a meaningful way are better than "high ability" players who have won nothing
Strongly Agree
Agree
Neutral
Disagree
Strongly Disagree
Individual awards are a better way to compare players than team success
Strongly Agree
Agree
Neutral
Disagree
Strongly Disagree
A forward with 0 points in a game has performed poorly
Strongly Agree
Agree
Neutral
Disagree
Strongly Disagree
Expected Goals is a good measure to evaluate performance of a player in a game that you have not watched
Strongly Agree
Agree
Neutral
Disagree
Strongly Disagree
The eye test captures information that analytics and statistics are unable to capture
Strongly Agree
Agree
Neutral
Disagree
Strongly Disagree
The first thing that should be done when rating players is to pull up their stats and underlying numbers
Strongly Agree
Agree
Neutral
Disagree
Strongly Disagree
Playoff series wins are a good metric to evaluate individual success
Strongly Agree
Agree
Neutral
Disagree
Strongly Disagree
Ability with no end product is worthless
Strongly Agree
Agree
Neutral
Disagree
Strongly Disagree
I am happy with how analytics are being used to rate players today
Strongly Agree
Agree
Neutral
Disagree
Strongly Disagree
I would rather my team sign a player who I have watched perform well in the playoffs rather than a player I am unfamiliar with that has better regular season statistics
Strongly Agree
Agree
Neutral
Disagree
Strongly Disagree
EvolvingHockey, Public Models and MoneyPuck are all useful tools to properly evaluate a player
Strongly Agree
Agree
Neutral
Disagree
Strongly Disagree
Where some people say statistics do not lie, I believe they do not tell the full story
Strongly Agree
Agree
Neutral
Disagree
Strongly Disagree
The use of underlying numbers is superior to the use of the eye test
Strongly Agree
Agree
Neutral
Disagree
Strongly Disagree
Being the best player on your team does not mean much if your team finishes bottom of your division
Strongly Disagree
Strongly Agree
Agree
Neutral
Disagree
It is not fair to use playoff success to judge players as it is not fair to players on unsuccessful or unlucky teams
Strongly Agree
Agree
Neutral
Disagree
Strongly Disagree
A goalie with a higher save percentage in the playoffs is more valuable than a goalie with a higher save percentage in the regular season
You are able to fully evaluate a defenseman using expected goals