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 earns TE1 with 41.1 routes per game, 27.4% target share and 1.91 red-zone targets per game. His 1.77 YPRR and 0.24 targets per route support the efficiency case. 0.38 blended TDs per game shape the scoring outlook.
Brock Bowers earns TE2 with 33.5 routes per game, 23.6% target share and 1.40 red-zone targets per game. His 1.69 YPRR and 0.21 targets per route support the efficiency case. Availability is the clear risk after a 71% games-played rate.
Tucker Kraft earns TE3 with 26.9 routes per game, 18.8% target share and 1.52 red-zone targets per game. His 2.27 YPRR and 0.20 targets per route reinforce the efficiency case. Availability is the clear risk after a 47% games-played rate.
George Kittle earns TE4 with 26.5 routes per game, 21.6% target share and 1.18 red-zone targets per game. His 2.15 YPRR and 0.24 targets per route reinforce the efficiency case. Availability is the clear risk after a 65% games-played rate.
Kyle Pitts earns TE5 with 32.3 routes per game, 22.7% target share and 0.71 red-zone targets per game. His 1.69 YPRR and 0.21 targets per route support the efficiency case. 0.16 blended TDs per game shape the scoring outlook.
Tyler Warren earns TE6 with 30.4 routes per game, 21.1% target share and 1.22 red-zone targets per game. His 1.58 YPRR and 0.22 targets per route support the efficiency case. 0.19 blended TDs per game shape the scoring outlook.
Jake Ferguson earns TE7 with 29.5 routes per game, 16.8% target share and 1.41 red-zone targets per game. At 1.20 YPRR, route volume carries more of the ranking. 0.28 blended TDs per game shape the scoring outlook.
Hunter Henry earns TE8 with 27.4 routes per game, 18.1% target share and 1.28 red-zone targets per game. His 1.65 YPRR and 0.19 targets per route support the efficiency case. 0.25 blended TDs per game shape the scoring outlook.
Dallas Goedert earns TE9 with 28.7 routes per game, 20.1% target share and 0.99 red-zone targets per game. At 1.37 YPRR, route volume carries more of the ranking. 0.32 blended TDs per game shape the scoring outlook.
Harold Fannin earns TE10 with 27.6 routes per game, 21.4% target share and 0.63 red-zone targets per game. His 1.65 YPRR and 0.24 targets per route support the efficiency case. 0.17 blended TDs per game shape the scoring outlook.
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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.
