Wan'Dale Robinson

Market ADP (rank 90) likely reflects the crowded Titans WR room (Ridley, rookie Tate, Ayomanor) diluting target share, plus a low career TD rate (4 on 140 targets) that suppresses perceived ceiling, and unresolved camp drop reports (Aug 2026) adding noise -- all pulled directly from the stored player_profiles data (pros/cons/ai_summary). Our model ranks him 23 spots better (67 vs ADP 90) because our td_regression_check explicitly treats the low-TD slot profile as role-consistent rather than a red flag ("Low-TD slot profile consistent with role; kept low, no regression needed"), and the pros list his elite, stable target-earner track record (140 targets/yr in each of the last two seasons) plus a locked-in WR2/slot role reuniting with OC Brian Daboll. Injury risk is tiered low and games_played is a full 16, so there is no missed-time discount either. In short: our model is pricing in stable opportunity (targets/role) while the market is pricing in TD scarcity and roster competition -- which the analyst foundation doc explicitly says is the wrong way to weight it. Analyst-foundation cross-check: SUPPORTS. The foundation doc's Core Philosophy states: "Opportunity beats efficiency, always. Targets, carries, routes run, and snap share are stable and predictive. TDs, YPC, and catch rate are noisy and regress hard. Raw targets alone correlate ~0.95 with PPR points." Robinson is a textbook case -- stable, elite target volume with a noisy, low TD rate that the model correctly declines to regress against. This is a well-supported divergence, not a data artifact.