Rome Odunze vs Brian Thomas 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 Brian Thomas 1.1 points higher in the 1QB public baseline.
Superflex gap: Sleeper Agent currently values Brian Thomas 1.1 points higher in the SF public baseline.
Verdict: Model verdict: Brian Thomas leads this comparison.
Updated: Oct 11, 2026

Rome Odunze

CHI · WR · Age 24

1QB63.2#73 overall · WR31

Superflex63.5#88 overall · WR32

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

107 targets · 59 receptions · 886 yards per 17-game pace

Brian Thomas

JAX · WR · Age 24

1QB64.3#67 overall · WR30

Superflex64.6#82 overall · WR30

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

104 targets · 62 receptions · 887 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: Brian Thomas leads this comparison.
Sleeper Agent currently values Brian Thomas 1.1 points higher in the 1QB public baseline.
Sleeper Agent currently values Brian Thomas 1.1 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.
Brian Thomas ranks #67 overall in 1QB vs #73 for Rome Odunze.
Both players sit in the Cornerstone tier in Superflex.
Brian Thomas ranks #82 overall in Superflex vs #88 for Rome Odunze.
Brian Thomas has paced 189.8 PPR points per 17 games vs 173.8 for Rome Odunze in the blended production sample.
Rome Odunze draws more receiving volume (107 targets vs 104 per 17-game pace).
Rome Odunze: 107 targets · 59 receptions · 886 yards per 17-game pace.
Brian Thomas: 104 targets · 62 receptions · 887 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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