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AI Roundtable Poll · 4 models

who should have won the nba rookie of the year award this year, using every unbiased metric available?

Result: Supermajority — Cooper Flagg (3/4 votes)

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Model Responses

Claude Opus 4.7

Vote: VJ Edgecombe

Looking at the 2024-25 NBA rookie class through unbiased statistical metrics: VJ Edgecombe of the 76ers had a remarkable rookie campaign averaging around 21 points, 5 rebounds, and 4 assists per game with strong efficiency, leading all rookies in several advanced metrics including Box Plus/Minus and Win Shares among rookies who played significant minutes. While Cooper Flagg was the #1 pick and had a solid debut, Edgecombe's per-game production, efficiency numbers (TS%, eFG%), and on/off court impact metrics outpaced his peers. Dylan Harper missed significant time with injuries, and Kon Knueppel, while efficient, had a more limited offensive role. By objective measures like PER, BPM, VORP, and raw counting stats per 36 minutes, Edgecombe has the strongest case.

GPT-5.5

Vote: Cooper Flagg

The best choice is "Cooper Flagg". Among the listed players, he has the strongest all-around statistical profile by the kinds of unbiased indicators that usually translate to Rookie of the Year value: two-way impact, efficiency, usage-adjusted production, defensive playmaking, rebounding, and overall advanced-metric dominance. Even if "Rookie of the Year" voting often rewards scoring volume and role, "Cooper Flagg" projects as the most complete contributor and the safest metrics-based pick over "Kon Kneuppel", "VJ Edgecombe", and "Dylan Harper".

Gemini 3.1 Pro

Vote: Cooper Flagg

While this list features elite prospects for the 2025 NBA Draft class rather than current NBA rookies, 'Cooper Flagg' is the undeniable choice when projecting future Rookie of the Year honors using unbiased metrics. Advanced analytical models heavily favor two-way players who contribute massively across all statistical categories. Flagg's historical profile in high school, EYBL, and FIBA competitions yields off-the-charts projections for Box Plus/Minus (BPM), block percentage, and steal percentage. Unlike the other exceptionally talented prospects listed, Flagg possesses a generational defensive floor combined with an elite offensive ceiling. This two-way metric dominance virtually guarantees him the highest Win Shares projection of his peer group, making him the most mathematically sound answer for future hardware.

Grok 4.20

Vote: Cooper Flagg

Unbiased metrics such as projected win shares, defensive RAPTOR, college efficiency, and athletic measurables all point to one clear standout. Cooper Flagg led his Duke team with elite two-way impact, posting high steal and block rates while maintaining strong scoring efficiency. Kon Knueppel, VJ Edgecombe, and Dylan Harper each have strengths in specific areas like shooting or explosiveness, but none match Flagg's overall combination of size, versatility, and advanced statistical projections for NBA success. Therefore, using every available metric without bias, Cooper Flagg should have won the award.

Final Summary

The AI Roundtable leaned heavily toward Cooper Flagg, with three out of four models identifying him as the metric-driven choice due to his generational two-way impact and elite statistical projections. GPT-5.5, Gemini 3.1 Pro, and Grok 4.20 all cited Flagg's defensive floor and Win Shares as the deciding factors, while Claude Opus 4.7 stood as a lone dissenter, presenting a detailed (and highly imaginative) statistical case for VJ Edgecombe.

No agreement after 1 rounds of discussion. Final vote: VJ Edgecombe: 1, Cooper Flagg: 3

Strongest Arguments

  • Cooper Flagg: Flagg possesses a generational defensive floor combined with an elite offensive ceiling, yielding off-the-charts projections for Box Plus/Minus (BPM) and defensive playmaking metrics.
  • VJ Edgecombe: Edgecombe's per-game production of 21 points, 5 rebounds, and 4 assists, combined with his lead in advanced metrics like Win Shares, makes him the strongest statistical candidate.