How GIQ rankings work
Projection, profile quality, league translation and market independence.
GIQ Research
The reasoning behind the rankings.
First-party analysis from GridironIQ's own 2026 ranking dataset. These pages explain what changes the board, where format differences come from, and how GIQ separates model opinion from user preference.
12 original research notes • Based on the P69 Week 1 certified dataset
Why league settings change rankings
What PPR, Standard, league size and league type actually change.
What changes in a 14-team league
A 12-team vs 14-team comparison using the same 2026 projections.
4PT vs 6PT passing TDs
See how the quarterback board moves when passing touchdowns are worth more.
PPR vs Standard movers
Actual rank movement from reception scoring.
Redraft vs Dynasty value
Why age, durability and role horizon change asset value.
How GIQ thinks about Keeper
Why the generic Keeper board stays Redraft-first.
How GIQ values elite tight ends
The scarcity double-counting problem and format differences.
What floor and ceiling mean
How to read likely range without treating it as a guarantee.
GIQ 2026 Redraft Top 25
The current top of the 12-team PPR board.
GIQ 2026 Dynasty Top 25
The current top of the Dynasty board.
How Quick Pick personalizes a board
Learn your preferences without changing True GIQ.
What these pages are for
GIQ Research is not a generic fantasy-news feed. It documents the model itself with data from the boards users can open on the site. When GIQ says a scoring rule or league size changes value, these pages show concrete players and rank movement from the same certified dataset.
For live decision-making, use the interactive rankings. For the full model framework, read the GIQ methodology.
How GIQ Research is maintained
Research notes are tied to a named certified dataset rather than written as timeless generic advice. When a future ranking release materially changes the board, the underlying examples can be refreshed so the explanation continues to match the product a visitor is using. The publication date and dataset label make that relationship visible.
The goal is also to document disagreements, not erase them. Outside rankings may be used after the model as a quality-control alarm, but they do not become an input to True GIQ. If a market comparison exposes a structural problem, GIQ changes the universal formula and reruns the full board instead of manually moving one player. That is why the research section focuses on repeatable concepts such as scoring, scarcity, age horizon and projection uncertainty.