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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Trey McBride's GNG-weighted opportunity (100th percentile) supports the 0.3-per-catch TE edge and first-down scoring. First-down support comes from first-down production (100th percentile). Availability (24th percentile) is the clear drag.
Brock Bowers' expected fantasy-point share (99th percentile) supports the 0.3-per-catch TE edge and first-down scoring. First-down support comes from first-down production (98th percentile). Availability (24th percentile) is the clear drag.
George Kittle's snap share (98th percentile) keeps routes available; GNG's 0.3 per TE catch cannot make up for lost snaps. High-value volume support comes from GNG-weighted opportunity (91st percentile). Availability (5th percentile) is the clear drag.
Travis Kelce's first-down production (99th percentile) earns direct GNG credit, while TE catches add 0.3. High-value volume support comes from GNG-weighted opportunity (98th percentile). Availability (14th percentile) is the clear drag.
Sam LaPorta's snap share (99th percentile) keeps routes available; GNG's 0.3 per TE catch cannot make up for lost snaps. High-value volume support comes from GNG-weighted opportunity (90th percentile). Availability (24th percentile) is the clear drag.
Tyler Warren's GNG-weighted opportunity (99th percentile) supports the 0.3-per-catch TE edge and first-down scoring. First-down support comes from first-down production (95th percentile). Availability (24th percentile) is the clear drag.
Jake Ferguson's GNG-weighted opportunity (95th percentile) supports the 0.3-per-catch TE edge and first-down scoring. First-down support comes from first-down production (90th percentile). Availability (24th percentile) is the clear drag.
Harold Fannin Jr.'s GNG-weighted opportunity (96th percentile) supports the 0.3-per-catch TE edge and first-down scoring. First-down support comes from first-down production (79th percentile). Availability (24th percentile) is the clear drag.
David Njoku's opportunity quality (95th percentile) supports the 0.3-per-catch TE edge and first-down scoring. First-down support comes from first-down production (91st percentile). Availability (3rd percentile) is the clear drag.
Kenyon Sadiq's rank is provisional: market and Sleeper depth-chart placement stand in for NFL advanced metrics. The 0.3 TE catch rate and first-down scoring will shape the NFL fit.
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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.
