INDEPENDENT HOCKEY SCOUTING & INTELLIGENCENORTH AMERICA • INTERNATIONAL
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CADIG PLAYER DISCOVERY ENGINE

Find the signal before it becomes consensus.

The edge is not one statistic, one scout, or one ranking. CADIG combines six information layers to determine which players deserve deeper attention, what may be driving their development, and where the market could be early, late, or incomplete.

LAYER 01

Live & Video Scouting

Skating, processing, puck skill, compete, off-puck habits, role execution and translatable details that raw production cannot explain.

LAYER 02

Age & Development Curve

Track how quickly a player is improving relative to peers, role and competition rather than treating draft age as a static endpoint.

LAYER 03

League Translation

Normalize performance across CHL, NCAA, USHL, SHL, Liiga and other development environments so raw totals are not compared as equals.

LAYER 04

Role & Opportunity

Separate ability from deployment: ice time, special teams, teammates, competition, position changes and organizational context.

LAYER 05

Historical Comparables

Search for same-age and same-context profiles that reveal how similar players developed, translated, plateaued or exceeded expectations.

LAYER 06

Projection & Re-Validation

Estimate floor, median, ceiling and uncertainty — then revisit the player as new evidence arrives and grade the original projection.

How a player moves through the CADIG system

01 • FLAGUnusual signal
02 • WATCHScout + video
03 • CONTEXTAge + league + role
04 • COMPAREHistorical cohort
05 • PROJECTRange of outcomes
06 • RECHECKDevelopment response
The objective: create enough independent evidence to know whether a player is simply producing, genuinely developing, being mispriced by context, or showing traits that merit more organizational attention.
08 • PROOF

Test the model against what actually happened.

CADIG's credibility should not come from how many reports we say we produce. It should come from whether our evaluation framework explains real player outcomes, identifies repeatable development signals and improves prospect decisions. This research program connects historical draft outcomes, league translation, development curves, scouting observations and current prospect projection into one evidence loop.

REPORT 01

Draft Value: 2001–Present

What did the draft actually get right — and wrong?
  • Original pick vs. eventual career-value rank
  • Top-25 outcomes by draft class
  • Pick-value overperformance and first-round misses
  • Position, league of origin and development timeline
  • Career WAR/value and NHL establishment
Finding → Where does talent evaluation systematically leave value on the board?
REPORT 02

The Development Curve

Which prospects actually improve after draft day?
  • D−2 → D−1 → Draft → D+1 → D+2 → D+3
  • Age-adjusted production and role growth
  • League difficulty, TOI and special-teams responsibility
  • Transition, creation and defensive responsibility
  • CADIG Development Delta: actual vs. expected growth
Finding → Is the trajectory accelerating, flatlining or deteriorating?
REPORT 03

League Translation Study

Which traits survive the jump to better competition?
  • CHL, NCAA, USHL, SHL, HockeyAllsvenskan and Liiga
  • Czechia, Slovakia, Latvia and additional European pathways
  • Age → league → role → production → translation → NHL outcome
  • Separate raw scoring from environment-adjusted production
  • Compare players across fundamentally different development settings
Finding → Which environments and traits historically translate most reliably?
REPORT 04

Prospect Archetype Study

What did successful NHL players look like before everyone knew?
  • Late physical developers
  • Underexposed skill creators
  • Small-area processors and two-way intelligence outliers
  • League-translation outliers
  • Production-without-opportunity profiles
Finding → Search systematically for repeatable traits without pretending historical success was predictable with certainty.
REPORT 05

Why Highly Ranked Prospects Miss

Study failure with the same rigor as success.
  • What did consensus evaluation overweight?
  • Which warning signals were visible?
  • Which skills failed to translate?
  • Did post-draft development stagnate?
  • Was production dependent on role, teammates or environment?
Finding → Identify risk patterns that conventional ranking can obscure.
REPORT 06

2026 Prospect Validation Lab

Apply the historical framework to the current class.
  • Consensus Rank vs. CADIG Rank
  • pWAR projection and NHL/star probability
  • Development Delta and league-translation score
  • Comparable outcome distributions
  • Floor / median / ceiling and primary development lever
  • Risk flags that can be re-tested as new data arrives
Finding → Make the present-day ranking accountable to future outcomes.
THE CADIG EVIDENCE LOOP

Every opinion creates a future test.

01 • OBSERVELive scouting + video
02 • QUANTIFYProduction, role, age + context
03 • TRANSLATENormalize across environments
04 • COMPAREHistorical development profiles
05 • PROJECTFloor, median, ceiling + probability
06 • DEVELOPHighest-value improvement lever
07 • RE-MEASURETrack trajectory change
08 • VALIDATEDetermine where we were right or wrong

A scouting report is an opinion at a point in time. A scouting system should be accountable to what happens next.

Research architecture is designed to combine traditional scouting with historical outcomes, league translation, development tracking and probabilistic projection. Model outputs are decision-support tools, not guarantees of individual player outcomes.

09 • RESEARCH ENGINE

Turn internal work into public credibility.

League studies, scouting methodologies, player research and pathway analysis can each become searchable, shareable assets.

10 • MARKET INTELLIGENCE

Understand who represents whom.

Agency segmentation adds a new layer: representation concentration by agency, individual agent, nationality, position, NHL team and value tier.

Agency Concentration

Compare portfolio structure across major representation groups.

Agent Books

Separate individual agent portfolios inside larger agencies.

White Space

Identify concentrated and fragmented talent-market segments.

OPEN MARKET INTELLIGENCE →
11 • SERVICES

Package the intelligence.

Scouting, player intelligence, organization intelligence and development support are separated into clear service categories.

Live / Video Scouting

Independent evaluation.

Player Intelligence

Performance and pathway analysis.

Organization Intelligence

League and market research.

Development Support

Video and pathway review.

VIEW SERVICES →
12 • USER JOURNEY

Multiple ways into the same intelligence system.

A team executive, scout, player family or industry contact should each be able to enter through a different page and still reach connected evidence.

Scout

Player → report → league → comparables.

Team / Organization

League → player pool → market → research.

Player / Family

Profile → pathway → development support.

Industry

Research → agency landscape → contact.

WORK PRODUCT

See what the model looks like in practice.

CADIG already has examples on both sides of its identity: a prospect-evaluation guide from the scouting group and an SIJHL career-outcomes framework from the analytics/intelligence side.

TEAM + WORK

See who does the work—and see the work itself.

CADIG does not hide behind a company label. Individual evaluator profiles show the people behind the work, while the case-study library shows the scouting and intelligence products they build.

13 • CADIG ECOSYSTEM

Everything connects.

The final site behaves like a growing hockey-intelligence platform instead of a brochure.

PLAYER
SCOUTING
LEAGUE
PATHWAY
MARKET
RESEARCH

CADIG HOCKEY

See the player. Understand the environment. Follow the pathway. Project what comes next.

CONNECT WITH CADIG →
HOW CADIG THINKS
Scouting, development context and hockey intelligence.
VIEW METHODOLOGY →