Draft Board Optimization Model
This model generates a data-driven NFL Draft Big Board that helps identify, rank and optimize draft prospects. It integrates personnel scouting grades, advanced performance grades, NFL Combine data and NCAA production metrics to generate player value grades, balancing performance, traits and projection to find the best prospects relative to draft position.
- Blends four outside big boards with what matters to you
- Presets like Tape first, Athletic upside and Premium positions
- Add your own grades and see where you differ from the consensus
Try thisBuild your own Big Board and see where you disagree with the consensus.
See it in a demo2026 Big Board · default weights
230 prospects · 4 boards| # | Prospect | Pos | Score | vs. consensus |
|---|---|---|---|---|
| 1 | Fernando MendozaIndiana | QB1 | 98.4 | — |
| 2 | David BaileyTexas Tech | EDGE1 | 94.7 | ▲ 4 |
| 3 | Rueben Bain Jr. | EDGE2 | 94.4 | — |
| 4 | Caleb DownsOhio State | S1 | 93.3 | ▼ 1 |
| 5 | Jeremiyah LoveNotre Dame | RB1 | 92.9 | — |
| 6 | Carnell TateOhio State | WR1 | 91.9 | ▲ 2 |
| 7 | Sonny StylesOhio State | LB1 | 91.5 | ▲ 5 |
| 8 | Mansoor DelaneLouisiana State | CB1 | 91.4 | ▲ 7 |
Real output from the model · 2026 draft class, 4 outside big boards