Welcome to Deke Data.

Deke Data is a hockey analytics platform built to quantify what can be measured in player

development and performance. Our mission is simple: bring clarity, context, and objectivity to the

evaluation process by putting meaningful numbers behind on-ice production.

Our platform centers on two proprietary metrics: Performance Score and Draft Probability.

Performance Score

Performance Score is designed to contextualize a player’s production across leagues, age groups,

and competitive environments.

The model evaluates a player’s goal, assist, and point production—both volume and rate—and

adjusts that output using a league strength coefficient. League strength is calculated using multiple

years of historical data to determine how production in a given league translates to higher levels of

competition.

The result is a season-specific Performance Score. A player’s total Performance Score is the

cumulative sum of their seasonal scores.

This allows for true cross-league comparison.

For example, Player A may record fewer total points in a stronger league than Player B in a weaker

league. However, once league strength is accounted for, Player A may carry the higher Performance

Score because a point in that league has historically translated to greater success at higher levels.

Our goal is to place players on an even playing field—as if they competed in the same league

against the same level of competition—so evaluators can distinguish between production that is

sustainable and production that may be inflated by environment.

Performance Score provides context. Context drives better decisions.

Draft Probability

Draft Probability estimates the likelihood that a player will be selected in either:

• Their CHL Draft year

• Their first year of NHL Draft eligibility

This proprietary model incorporates:

• Performance Score

• Physical metrics

• Historical draft trends

• Draft class strength and peer ranking

The output answers one specific question:

“What is the probability this player will be drafted?”It does not attempt to predict draft round or draft position.

This distinction is critical.

A higher Draft Probability does not necessarily mean a higher draft selection. Draft outcomes are

influenced by class strength and competition for a limited number of draft spots. A strong player in

a deep draft class may carry a lower probability than a slightly weaker player in a shallower class.

Additionally, draft decisions are often based on projected future potential—not just present

performance. Teams frequently select the player they believe will become the best player, not

necessarily the best current performer.

Our model incorporates historical draft behavior to reflect these realities. Probabilities are

calibrated against real draft outcomes to ensure alignment with how teams actually select players.

The Underlying Premise

At its core, Deke Data operates on a measurable truth: Certain production patterns and physical

profiles correlate with future success.

A player of a certain size who produces at a certain rate at a certain age historically has a definable

likelihood of being drafted. Our platform identifies those patterns by analyzing comparable players

from previous years.

As players age and accumulate larger sample sizes, projections become more precise. However,

development is not linear. Trajectories change—both positively and negatively.

Deke Data provides a snapshot of a player’s current measurable profile and shows what historically

similar players have gone on to achieve.

What Deke Data Is — and Is Not

Deke Data is not an endpoint. It is a starting point.

We strive to quantify everything that can reasonably be measured in hockey. However, hockey

contains variables that resist direct quantification:

• Work ethic

• Leadership

• Resilience

• Mental toughness

• Skating mechanics

• Attention to detail

These traits may influence outcomes indirectly, but they are not fully captured in numerical form.

As a result, outliers will always exist.

There will be players with high Draft Probabilities who go undrafted. There will be players with low

probabilities who defy expectations and build outstanding careers. We celebrate those stories.When the data does not align with outcomes, that is not a flaw—it is an opportunity to ask better

questions. Why did a player outperform their measurable profile? What traits drove their success?

Conversely, why did a high-probability player fail to reach their projected ceiling?

There are countless paths to a successful hockey career. Elite scoring is the most direct path, but it

is not the only one.

Our goal is to provide clarity—not limits.

Our Commitment

Deke Data is built to help players, parents, coaches, scouts, and decision-makers make more

informed choices.

Every forward dreams of becoming Connor Bedard. Every defenseman looks up to Cale Makar.

While those are extraordinary examples, there are many different routes to the top.

We hope our platform helps players identify comparable profiles, understand their trajectory, and

stay motivated in pursuit of their goals.

We welcome feedback as we continue refining and expanding the platform.