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CoreFive Analytics
Elliot Lake, Ontario, Canada
Allan Hamernick
Owner/Founder
Project
Academic experience
50 hours of work total
Learner
Anywhere
Intermediate level

Project scope

Categories
Data analysis Data science
Skills
data-driven decision making
Details

The Project Goal is evaluate the choices made by NHL teams at the Entry Draft by measuring actual performance of players selected who were outperformed by players selected later in the draft.


The second goal is to review how those choices could have been impacted by the application of CoreFive's Team Profile Index to the decision making process.

Deliverables

Learners will be required to analyze NHL Draft Results from the 2017 to 2020 drafts to identify cases where the team selected a player who has been outperformed by a player who was selected later in the draft. Learners will not require sports management skills as this is purely an analytical exercise.


The cases identified will be cross referenced with CoreFive's Team Profile Index to assess the its impact it could have had on the decision.


Prepare a report outlining the findings, conclusions and recommendations.



Mentorship
Domain expertise and knowledge

Providing specialized, in-depth knowledge and general industry insights for a comprehensive understanding.

Skills, knowledge and expertise

Sharing knowledge in specific technical skills, techniques, methodologies required for the project.

Hands-on support

Direct involvement in project tasks, offering guidance, and demonstrating techniques.

Regular meetings

Scheduled check-ins to discuss progress, address challenges, and provide feedback.

Supported causes

The global challenges this project addresses, aligning with the United Nations Sustainable Development Goals (SDGs). Learn more about all 17 SDGs here.

Quality education

About the company

Company
Elliot Lake, Ontario, Canada
2 - 10 employees
Business & management, Human resources & recruitment, Sports & fitness
Representation
Small Business

CoreFive Analytics is an assessment based, data driven talent analytics consultancy that improves selection and accelerates development. The evidence based models we use provide quantitative data that drives decision making for individuals, teams and organizations seeking to improve their performance. The evidence we gather can be used to predict and identify athletes or employees with the best chance of success in a given environment.  We can also identify the areas of development that will have the greatest effect on improving performance. The methods, processes and assessments we use are universal. They can apply to any person, athlete, team or organization.