GIQ 2026 Redraft Top 25
This is the fixed public baseline GIQ uses for its crawlable Redraft analysis: 12 teams, PPR and 6-point passing touchdowns. The interactive board can change every one of those settings.
The current Top 25
| Rank | Player | Pos | GIQ | Proj pts | PPG |
|---|---|---|---|---|---|
| 1 | Bijan Robinson | RB1 | 96.4 | 359.1 | 22.3 |
| 2 | Jahmyr Gibbs | RB2 | 96.0 | 330.8 | 21.3 |
| 3 | Ja'Marr Chase | WR1 | 95.7 | 338.0 | 21.5 |
| 4 | Puka Nacua | WR2 | 95.7 | 329.4 | 21.5 |
| 5 | Christian McCaffrey | RB3 | 94.6 | 300.1 | 20.4 |
| 6 | Jaxon Smith-Njigba | WR3 | 94.4 | 316.9 | 19.6 |
| 7 | Jonathan Taylor | RB4 | 94.4 | 296.4 | 19.5 |
| 8 | De'Von Achane | RB5 | 94.4 | 288.3 | 18.5 |
| 9 | Amon-Ra St. Brown | WR4 | 94.3 | 312.0 | 19.6 |
| 10 | James Cook | RB6 | 90.8 | 271.1 | 17.0 |
| 11 | CeeDee Lamb | WR5 | 90.4 | 281.0 | 18.3 |
| 12 | Justin Jefferson | WR6 | 88.1 | 262.3 | 17.1 |
| 13 | Saquon Barkley | RB7 | 87.8 | 253.2 | 16.7 |
| 14 | Chase Brown | RB8 | 87.4 | 252.1 | 16.2 |
| 15 | Drake London | WR7 | 86.8 | 257.8 | 16.8 |
| 16 | Derrick Henry | RB9 | 86.7 | 233.4 | 15.8 |
| 17 | Rashee Rice | WR8 | 86.4 | 259.2 | 16.9 |
| 18 | Brock Bowers | TE1 | 86.4 | 244.4 | 16.0 |
| 19 | Chris Olave | WR9 | 86.3 | 266.7 | 17.4 |
| 20 | Malik Nabers | WR10 | 86.2 | 246.3 | 17.6 |
| 21 | Trey McBride | TE2 | 86.2 | 280.3 | 17.7 |
| 22 | Ashton Jeanty | RB10 | 86.0 | 238.6 | 15.9 |
| 23 | A.J. Brown | WR11 | 85.5 | 245.9 | 16.0 |
| 24 | Josh Jacobs | RB11 | 85.3 | 208.8 | 16.1 |
| 25 | Kenneth Walker | RB12 | 85.2 | 222.9 | 14.9 |
The shape of the top tier
The opening group mixes elite running-back workloads with target-dominant wide receivers. That is intentional. GIQ does not enforce a positional quota in Round 1; the overall ordering comes from the combination of projection, profile quality and replacement value in this specific 12-team environment.
Why the board can disagree with ADP
GIQ's job is not to predict the average draft room. A player can rank higher than market if his projection, role and profile support it, or lower if the model sees more fragility. ADP becomes relevant later when a manager asks whether a player is likely to make it back, but it is not part of the True GIQ score.
Use the board as a decision surface
The gap between adjacent ranks matters. A one-spot difference inside a tight tier should not be treated like a hard rule. Player profiles show the projected points and likely range, while Quick Pick can learn which close-call traits matter more to the user.