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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Christian McCaffrey's target share (100th percentile) is a receiving edge, but GNG pays only 0.1 per catch; the role must become yards or first downs. Workload support comes from GNG-weighted opportunity (96th percentile). Goal-line opportunity is still 94th percentile, even as the lowest input.
Jahmyr Gibbs' expected receiving first downs (99th percentile) earns direct GNG credit even with catches worth only 0.1. Workload support comes from GNG-weighted opportunity (97th percentile). Snap share is still 87th percentile, even as the lowest input.
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.
Josh Allen's QB rushing (97th percentile) is the separator, adding a second scoring path beyond five-point passing TDs. Bonus-volume support comes from passing-yard volume (95th percentile). The soft spot is NGS passing efficiency at the 59th percentile.
Saquon Barkley's GNG-weighted opportunity (99th percentile) puts the 20-carry and 100-yard bonuses in play. Receiving support comes from target share (94th percentile). Expected receiving first downs is still 88th percentile, even as the lowest input.
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.
Bijan Robinson's GNG-weighted opportunity (100th percentile) puts the 20-carry and 100-yard bonuses in play. Receiving support comes from target share (98th percentile). Goal-line opportunity is still 87th percentile, even as the lowest input.
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.
Jared Goff's passing-yard volume (100th percentile) creates repeat shots at GNG's 25-completion and 300-yard bonuses. Efficiency support comes from NGS passing efficiency (90th percentile). QB rushing (26th 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.
