Methodology
Methodology
How Selection Room builds composite rankings and projected CFP fields.
Selection Room models committee-style selection from transparent inputs: resume metrics, predictive ratings, strength of schedule, and configurable weights.
What this page covers
- Composite ranking pipeline
- Default weight philosophy
- Links to in-app and research docs
Composite pipeline
Each team receives normalized sub-scores (resume, predictive, SOR, SOS, and related inputs). A weighted composite rank drives field selection and bracket seeding. Weights are configurable in Scenario Lab; defaults are documented in run metadata.
Key concepts
| Concept | Summary |
|---|---|
| Composite | Weighted blend of resume and predictive inputs |
| Selection Stability | Weight perturbation sensitivity (not game simulation) |
| Sample data | Fixed ~20-team universe for offline runs |
| Live CFBD | Full FBS universe from CollegeFootballData.com |
Important
Scores are min-max normalized within each run universe. Sample data and Live CFBD runs are not directly comparable across modes.
In-app reference
The live Methodology page mirrors metric definitions used in rankings tables and tooltips.