If All Four Stars Are at Their Peak, Who’s the Weakest? A Data-Driven Breakdown

The Myth of the Peak Four

I still remember that image—four names floating in a Hoop Central feed: DeWight-Howard, Joer-Enby, Anthony-Davies, Nikula-Yokich. All ‘peaked’. All ‘elite’. But peak doesn’t mean equal. In football analytics, peak is a vector—not a plateau. Each player’s zenith bends differently across metrics.

The Silent Outlier

DeWight-Howard: elite shot volume. But his xG per shot? Below league average. His defensive work rate? High—because he’s asked to cover more ground than most wingers. He’s the engine of chaos.

Joer-Enby: precision passer. His progressive passes per 90 minutes? Top 1%. Yet his off-ball movement? Minimal. He doesn’t press—so he fades when space collapses.

Anthony-Davies: raw athleticism. His sprint speed? Elite. But his passing accuracy drops when tired—his decision-making under pressure is statistically weak.

Nikula-Yokich: calm under fire. He rarely panics—even when errors occur in climax moments.

The weakest? Not the one with lowest goals or fastest runs—but the one whose data fractures under demand.

We’re not talking charisma here—we’re talking covariance.

Why This Matters

The fan wants a hero who scores goals. The data wants someone who sustains performance while others collapse. Nikula-Yokich isn’t flashy—but he doesn’t break. That’s strength.