2026 Fantasy Football Rankings
Deterministic, formula-driven fantasy football rankings with advanced metrics and AI verdicts... Only on The GNG. Pick a scoring profile and a position board.
Pigskin rankings use position-specific formulas built from advanced multi-year usage and efficiency data, then apply a current-roster safety layer. That means workload, target share, routes, red-zone opportunity, touchdown rate, EPA efficiency, WOPR, YPRR, targets per route, age, availability, injury status, and current depth-chart context all matter. The goal is to rank players by the role and scoring opportunity they are most likely to carry into the season, not simply by last year’s finish.
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Amon-Ra St. Brown's GNG-weighted opportunity (100th percentile) supports first-down and 100-yard upside; WR catches themselves earn only 0.2. Role support comes from snap share (96th percentile). Availability (23rd percentile) is the clear drag.
Ja'Marr Chase's GNG-weighted opportunity (100th percentile) supports first-down and 100-yard upside; WR catches themselves earn only 0.2. Role support comes from snap stability (100th percentile). Availability (23rd percentile) is the clear drag.
Puka Nacua's expected receiving first downs (100th percentile) earns direct GNG credit and keeps the 100-yard bonus within reach. High-value volume support comes from GNG-weighted opportunity (98th percentile). Availability (23rd percentile) is the clear drag.
Drake London's GNG-weighted opportunity (97th percentile) supports first-down and 100-yard upside; WR catches themselves earn only 0.2. Role support comes from snap share (96th percentile). Availability (23rd percentile) is the clear drag.
A.J. Brown's target share (100th percentile) commands volume, but 0.2 per WR catch means those targets need to become yards or first downs. High-value volume support comes from GNG-weighted opportunity (94th percentile). Availability (23rd percentile) is the clear drag.
Garrett Wilson's snap share (100th percentile) keeps scoring chances on the field; GNG gives WRs only 0.2 per catch, so empty volume is muted. High-value volume support comes from GNG-weighted opportunity (95th percentile). Availability (23rd percentile) is the clear drag.
Jaxon Smith-Njigba's GNG-weighted opportunity (97th percentile) supports first-down and 100-yard upside; WR catches themselves earn only 0.2. Role support comes from snap stability (83rd percentile). Availability (23rd percentile) is the clear drag.
Davante Adams' expected fantasy-point share (99th percentile) supports first-down and 100-yard upside; WR catches themselves earn only 0.2. Role support comes from snap stability (94th percentile). Availability (2nd percentile) is the clear drag.
Malik Nabers' expected fantasy-point share (100th percentile) supports first-down and 100-yard upside; WR catches themselves earn only 0.2. Role support comes from snap share (92nd percentile). Availability (23rd percentile) is the clear drag.
CeeDee Lamb's opportunity quality (100th percentile) supports first-down and 100-yard upside; WR catches themselves earn only 0.2. Role support comes from snap share (88th percentile). Availability (23rd percentile) is the clear drag.
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Rankings by Pigskin AI... The brainchild of Sputnik Digital Graphics.
Ranking guide
Pick the scoring profile your league actually uses. Then choose the Overall board or narrow the list by position. The formula establishes the order. The verdict tells you what is driving it.
Standard scoring favors touchdown production and yardage. PPR adds a full point per reception, while Half-PPR splits the difference. GNG Keeper applies the league's custom Sleeper scoring model. A player can move sharply when receptions, tight end production, or positional replacement value changes.
Rank and tier show where a player stands. Projected points describe expected weekly output. Pigskin score captures the formula's wider evaluation, and risk flags identify problems that could pull a player down. The verdict is an explanation, not the ranking engine.
Pigskin AI is a 2026 fantasy football ranking system built from deterministic, position-specific formulas. It combines multi-year usage and efficiency data with current role, availability, and depth-chart context. Plain-language AI verdicts explain the formula results.
The page includes Standard, PPR, Half-PPR, and GNG Keeper scoring profiles. GNG Keeper uses the league's custom scoring formula.
Each scoring profile includes an Overall Top 100 plus separate QB, RB, WR, and TE boards.
Position-specific formulas evaluate workload, target share, routes, red-zone opportunity, touchdown rate, EPA efficiency, WOPR, YPRR, age, injuries, availability, and current depth-chart context. The formula sets the ranking. The AI verdict explains the result in readable terms.
The board-generation timestamp identifies the source version currently displayed. When Pigskin AI publishes a changed scoring profile, the site verifies the source checksum before replacing that board.
Start with the scoring profile used by your league, then select Overall or a position. Compare rank and tier first. Use projected points, Pigskin score, risk flags, and the verdict to understand why players are separated.
