CADIG's prospect model is designed to compare players developing in very different environments by combining age-adjusted production, league strength, role, scouting traits, transition value, development context and long-term projection.
A prospect-specific projection framework. pWAR is not presented as current NHL WAR; it is a CADIG estimate of future NHL value built from comparable development indicators.
The examples below show how CADIG can compare elite prospects whose value is created in different ways. Numerical pWAR outputs remain model placeholders until the underlying data model is finalized.
High-end offensive projection driven by puck skill, manipulation, vision and the ability to create advantages through transition. The model would heavily weight age-adjusted dominance and creation efficiency.
A strong pWAR case because production comes against professional competition at a young age. CADIG would emphasize age-versus-league difficulty, role, transition and creation rather than raw points alone.
Defense-first projection where pWAR should not over-reward scoring. Value comes from mobility, retrievals, defending, physical translation, professional-league experience and the probability of handling NHL defensive minutes.
The next expansion layer is a 10–15 player board spanning CHL, NCAA, SHL, Liiga, Slovak and Latvian development systems, allowing CADIG to identify comparable value across very different competitive environments.
The model should reward production differently depending on age, league quality and role, preventing junior production and professional production from being treated as equivalent.
| Environment | What matters most | Translation question |
|---|---|---|
| CHL | Age-adjusted dominance, primary creation, role | Does junior dominance translate against stronger pace and structure? |
| NCAA | Age, usage, even-strength impact, physical maturity | How much value is being created against older competition? |
| SHL | Pro role, minutes, production, transition | Can an underage player drive value against professionals? |
| Liiga | Pro usage, pace, two-way translation | How does the player handle structured professional hockey? |
| Slovakia | League role, age context, international performance | Is domestic production supported by U18/U20 translation? |
| Latvia | Competition level, international role, skill translation | How much of the production survives stronger competition? |
CADIG expands the historical board beyond the obvious stars. Each class surfaces up to 25 career-WAR outcomes from the supplied dataset, creating a deeper view of draft value, misses, late-round development and the distance between selection order and realized NHL impact.
The 2026 top 15 create the forward-looking side of the framework: draft slot, league environment, role, age and scouting traits can be compared with the historical WAR archive above. This is where CADIG pWAR becomes a projection tool rather than a retrospective leaderboard.
See how CADIG combines scouting, league context, development velocity, historical outcomes and pWAR/PVI into one player intelligence framework.
Overall rankings, verified statistics, CADIG grades, strengths, development priorities, potential ratings and organizational fit.
