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.
Composite pipeline
Each team receives normalized sub-scores, and a weighted composite drives field selection and bracket seeding. The four weight components:
| Component | What it measures |
|---|---|
| Resume | What a team earned on the field: wins, losses, and quality results |
| Predictive | Underlying team strength from predictive ratings, regardless of record |
| SOR | Strength of record: how impressive the record is given the schedule actually played |
| SOS | Strength of schedule: how hard the slate was, independent of results |
Defaults are recorded in every run's metadata and are adjustable in Scenario Lab. Formulas and metric definitions live in the research docs on GitHub.
How selection works (5+7)
The 12-team field follows the published CFP format:
- Automatic bids (5): the five highest-ranked conference champions qualify automatically.
- At-large bids (7): remaining spots go to the highest-ranked teams not already selected.
- Displacement: if an automatic qualifier ranks outside the top 12, it still gets in, and the lowest-ranked at-large team is displaced. Every displacement is recorded in the run's audit trail.
Seeding rulesets
Two eras of seeding rules apply, and every run records which one it used:
| Ruleset | Seeding | Byes |
|---|---|---|
| 2024 | Top 4 conference champions take seeds 1-4 | Champion byes |
| 2025+ | Straight by final ranking | Top 4 overall |
First-round pairings: 5 vs 12, 6 vs 11, 7 vs 10, 8 vs 9. Always check a run's ruleset before comparing seeding across seasons.
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 shows the active run's weights and mirrors the metric definitions used in rankings tables and tooltips.