AFC Elite Quarterback & Franchise Comparative Explorer

Tactical Model Weights

Passing Efficiency (EPA/CPOE) 35%

Rushing Dual-Threat Value 20%

Playoff Pedigree & Rings 25%

Roster & Staff Continuity 20%

Weights are automatically normalized to 100% in model calculations.

Simulation Assumptions

Evaluates franchise durability, quarterback WAR floor/ceiling, and championship trajectory based on Schefter's designated four-team tier.

KC #1 Seed BAL Dynamic BUF High-Ceiling CIN Surgical

Leading Contender

Kansas City Chiefs

Patrick Mahomes • Index 96.4

Power Index Spread

96.4 - 91.2

Δ 5.2 pts across tier

Top Rivalry Matchup

Chiefs vs Ravens

Simulated AFC Championship

Source Grounding

Verified

Schefter & Schmit Post

Contender Dimension Radar D3 Normalized

AFC Supremacy Index Live Recalibration

Head-to-Head Tactical Attribute Benchmarks Raw Index Scale (100 Max)

Franchise / QB	Passing	Rushing Dual	Playoff Pedigree	Roster Continuity	Composite Score	Supremacy Win%

Kansas City Chiefs hold supreme leverage primarily fueled by playoff mastery and passing efficiency, with Baltimore Ravens posing the chief physical dual-threat counter.

Normalized weights and relative score probabilities

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Read the explanation

The saved explorer blends four stored indices: passing, rushing, playoff pedigree, and continuity. It divides each slider weight by their raw sum. The default weights thirty five, twenty, twenty five, twenty sum to one hundred. The ground preset uses twenty, forty five, fifteen, twenty, so rushing receives point four five instead of point two. The bars use eight hundred pixels per normalized weight. These are author supplied preferences and unverified snapshot data, not current league evidence. Using the saved Ravens indices ninety four point five, ninety nine, eighty nine point five, and ninety four, default weights produce ninety four point zero five. The ground preset produces ninety five point six seven five. The graphic uses four pixels per score unit. The table rounds to one decimal, but sorting and probability calculations use the unrounded raw score. Changing a weight changes the mixture rather than creating new measured athletic data. For each of the four saved teams, the source exponentiates raw score minus ninety times point three, then divides by the sum of those exponentials. A one point raw score advantage therefore has a relative probability factor of about one point three five. Bars use two hundred ninety pixels per factor. The shared minus ninety cancels in ratios. The result distributes one hundred percent among this four team comparison set; it does not include the entire conference or prove a championship forecast. Reset restores the same default weights. JSON and CSV export the source scores and these relative percentages.