UNCG Spartans vs. East Tennessee State Buccaneers (W)
Volume:
$744,479
Markets
Outcome
Chance %
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Liquidity
Volume
24h
7d
Open Interest
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Description
This event group covers the women's college basketball game between UNCG Spartans and East Tennessee State Buccaneers scheduled for March 5, 2026 at 12:15 PM ET. Markets across Polymarket and Kalshi are betting on the outcome of this single game, with resolution based on the final score including overtime.
Kalshi's market structure is logically incoherent: both possible game outcomes (ETSU win and UNC Greensboro win) are mapped to the same resolution value (Yes), making the market fundamentally unresolvable and creating a data integrity failure.
Hero Tip:
This is a critical flaw. Do not trade on Kalshi's version. Polymarket's market is the only resolvable option, with clear winner-take-all logic. If you hold Kalshi positions, seek clarification from their support team before settlement.
Critical Divergence Points:
Polymarket: Clean binary winner-take-all structure. UNCG Spartans win resolves to 'UNCG Spartans'; East Tennessee State Buccaneers win resolves to 'East Tennessee State Buccaneers'. Handles postponements (market stays open) and cancellations (50-50 split). Resolution includes overtime. Source: NCAA.com.
Kalshi: Broken binary logic: both outcomes map to Yes. 'If East Tennessee St. wins... resolves to Yes' AND 'If UNC Greensboro wins... resolves to Yes'. This creates a logical contradiction where no outcome can resolve to No, making the market unresolvable.
Our PredictionHero Resolution Divergence Alerts (RDA) are there to help users identify potential differences across platforms. They do not replace or supersede the official rules and description of any prediction market. Users are solely responsible for reviewing and understanding the applicable rules and resolution criteria before placing any trade or bet. If you notice a potential inconsistency, discrepancy, or error in an alert, please report it to our team so we can review and improve the accuracy of our data.
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