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.
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.
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.
Jeremiyah Love's rank is provisional: market and Sleeper depth-chart placement stand in for NFL advanced metrics. GNG's 0.1 per catch and workload bonuses will test that market slot.
Jonathan Taylor's expected rushing first downs (100th percentile) maps to GNG first-down scoring and the 20-carry bonus. Workload support comes from GNG-weighted opportunity (94th percentile). The soft spot is expected receiving first downs at the 68th percentile.
Josh Jacobs' goal-line opportunity (98th percentile) maps to GNG first-down scoring and the 20-carry bonus. Workload support comes from GNG-weighted opportunity (94th percentile). Expected receiving first downs is still 80th percentile, even as the lowest input.
De'Von Achane's target share (98th 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 (88th percentile). Expected rushing first downs is still 74th percentile, even as the lowest input.
James Cook's expected rushing first downs (93rd percentile) maps to GNG first-down scoring and the 20-carry bonus. Workload support comes from GNG-weighted opportunity (92nd percentile). Target share is still 75th percentile, even as the lowest input.
Kyren Williams' snap share (100th percentile) puts the 20-carry and 100-yard bonuses in play. Rushing support comes from goal-line opportunity (99th percentile). Target share is still 77th percentile, even as the lowest input.
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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.
