CADIG HockeySIJHL Foundation
Historical teams, seasons, player statistics and destinations from 2008–09 onward.
Analytics Case StudyBuild the league
SIJHL career outcomes
Build the league
intelligence layer.
The SIJHL project is designed as CADIG's pilot hockey-intelligence environment: a repeatable data model for player advancement, league classification, development pathways and organizational benchmarking.
SIJHL pilot model
45Outcome baseline
52Pathway baseline
5Career tiers
2008–09Historical start
Core concept
Two scores—not one.
The framework separates the highest competitive level achieved from the quality of an environment as a route to future advancement.
CAREER OUTCOME SCORE
Where did the player ultimately reach?
Measures highest competitive level reached. Individual impact inside that league remains a separate layer.
DEVELOPMENT PATHWAY SCORE
How strong is the league as a pathway?
Measures the environment's quality as a route toward future advancement, allowing elite development leagues to score differently from pro leagues.
Career tier framework
A common language for league outcomes.
Working scores are versioned methodology values intended for refinement using historical advancement data and scout review.
100
Tier 1Elite Professional
NHL 100 • KHL 95 • AHL 92 • Czech Extraliga 91 • SHL 90
82
Tier 2Professional
ECHL 82 • HockeyAllsvenskan 80 • Czech Maxa Liga 79 • EIHL 78
72
Tier 3Elite Development
NCAA Division I 72 • USHL 70 • BCHL 68 • AJHL 66 • NAHL 64
60
Tier 4Development
U SPORTS 60 • NCAA Division III 58 • OJHL 56 • GOJHL 54 • NOJHL 52 • MJHL 50
Advancement delta
Measure movement from the SIJHL baseline.
The preliminary SIJHL Career Outcome baseline is 45. Destination scores create a simple direction-and-magnitude measure of player movement.
NCAA I
72 − 45
+27NAHL
64 − 45
+19NCAA III
58 − 45
+13WOAA
26 − 45
−19Database architecture
Not a spreadsheet. A reusable model.
The report defines core tables so player history, league classification and outcomes can scale into multiple leagues and Power BI.
Players
Player ID • Name • Birth Year • Position • Nationality
Player Career History
Season • Team • League • GP • G • A • PTS
League Master
League ID • Type • Tier • Outcome Score • Pathway Score
League Aliases
Source label → standardized League ID
League Season Ratings
Season-specific tier and scoring history
Player Career Outcomes
Highest league • Highest score • Final league • Pro status
Power BI roadmap
From SIJHL pilot to global league intelligence.
The implementation roadmap moves from validated historical tables into a reusable lookup model, calculated outcomes and interactive league/team/player dashboards.
PHASE 1
PHASE 2
Global Lookup
League Master, aliases and scoring methodology.
PHASE 3
Career Outcomes
Highest/final destinations, pro/NCAA flags and Advancement Delta.
PHASE 4
Power BI
League, team, player, recruiting and development dashboards.
PHASE 5
Validation & Expansion
Scout review plus NOJHL, OJHL, MJHL, GOJHL, U18 and future international integration.
“We maintain a standardized hockey intelligence model that compares players, leagues, development pathways, and career outcomes across different hockey systems.”