Xavier Worthy vs Matthew Golden dynasty value comparison

Compare Sleeper Agent’s standardized 1QB and Superflex dynasty values, ranks, tiers, age, team context, and production evidence for two nearby WR assets.

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SIDE BY SIDE

Public dynasty value snapshot

Position: WR
1QB gap: Sleeper Agent currently values Matthew Golden 1.7 points higher in the 1QB public baseline.
Superflex gap: Sleeper Agent currently values Matthew Golden 1.6 points higher in the SF public baseline.
Verdict: Model verdict: Matthew Golden leads this comparison.
Updated: Oct 11, 2026

Xavier Worthy

KC · WR · Age 23

1QB59.0#100 overall · WR41

Superflex59.3#109 overall · WR41

Tier: Cornerstone (1QB) · Cornerstone (SF)

95 targets · 57 receptions · 634 yards per 17-game pace

Matthew Golden

GB · WR · Age 23

1QB60.7#91 overall · WR38

Superflex60.9#99 overall · WR38

Tier: Cornerstone (1QB) · Cornerstone (SF)

101 targets · 54 receptions · 771 yards per 17-game pace

Updated Oct 11, 2026. Public values use Sleeper Agent’s local model and a fixed 12-team PPR baseline.

VALUE GAPS

Where the model currently separates them

Model verdict: Matthew Golden leads this comparison.
Sleeper Agent currently values Matthew Golden 1.7 points higher in the 1QB public baseline.
Sleeper Agent currently values Matthew Golden 1.6 points higher in the SF public baseline.
The age gap is 0.0 years; age is evaluated on the shared WR curve rather than used as a stand-alone verdict.
Both players sit in the Cornerstone tier in 1QB.
Matthew Golden ranks #91 overall in 1QB vs #100 for Xavier Worthy.
Both players sit in the Cornerstone tier in Superflex.
Matthew Golden ranks #99 overall in Superflex vs #109 for Xavier Worthy.
Matthew Golden has paced 159.0 PPR points per 17 games vs 156.7 for Xavier Worthy in the blended production sample.
Matthew Golden draws more receiving volume (101 targets vs 95 per 17-game pace).
Xavier Worthy: 95 targets · 57 receptions · 634 yards per 17-game pace.
Matthew Golden: 101 targets · 54 receptions · 771 yards per 17-game pace.
League-specific roster construction can change the practical trade decision even when one public baseline is higher.

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