St. Thomas (MN) Tommies vs. Oral Roberts Golden Eagles (W)
Volume:
$405,562
Markets
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
This event group covers the women's college basketball matchup between St. Thomas (MN) Tommies and Oral Roberts Golden Eagles scheduled for March 6, 2026. Markets on both Kalshi and Polymarket are betting on the game outcome, with resolution tied to the final score including overtime.
Kalshi's binary resolution logic is internally contradictory, stating both St. Thomas winning and Oral Roberts winning resolve to Yes. Polymarket uses a coherent categorical framework. This creates fundamental ambiguity on Kalshi regarding which outcome actually occurs.
Hero Tip:
Do not trade on Kalshi until the platform clarifies whether this is a documentation error. Polymarket's structure is sound: one team wins and the market resolves to that team's name. If forced to choose, Polymarket is resolvable; Kalshi is not without clarification.
Critical Divergence Points:
Kalshi: Binary Yes/No framework with logical contradiction. States 'If St. Thomas wins...resolves to Yes' and separately 'If Oral Roberts wins...resolves to Yes'. No explicit handling of postponement or cancellation. Key quote: both winning conditions map to Yes.
Polymarket: Categorical resolution naming the winning team. Resolves to 'St. Thomas (MN) Tommies' if St. Thomas wins or 'Oral Roberts Golden Eagles' if Oral Roberts wins. Explicit protocols: postponement keeps market open until completion; cancellation with no makeup resolves 50-50. Key quote: 'The result will be determined based on the final score including any overtime periods.'
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.
Follow the signals, not the noise
Get insights on market conviction, notable shifts, and what the data is quietly signaling.