This event group covers multiple prediction markets on the LSU Tigers vs. Auburn Tigers men's college basketball game scheduled for March 3, 2026 at 10:00 PM ET at Auburn. Markets include moneyline (winner), over/under total points (155.5), and point spread outcomes (Auburn -8.5 and -9.5).
Kalshi's moneyline market contains a logical contradiction where both LSU and Auburn wins are stated to resolve to Yes, making the market fundamentally unresolvable. Polymarket's moneyline correctly specifies mutually exclusive outcomes. Spread and over/under markets are unified across platforms.
Hero Tip:
Avoid trading on Kalshi's moneyline market due to critical logical flaw. For all other markets (spread, over/under), resolution logic is consistent: use final score including overtime, keep open if postponed, resolve 50-50 if canceled. Polymarket serves as authoritative source for moneyline outcome.
Critical Divergence Points:
Kalshi: Moneyline market states both LSU win and Auburn win resolve to Yes, creating logical impossibility. Quote: 'If LSU wins the LSU at Auburn men's college basketball game originally scheduled for Mar 3, 2026, then the market resolves to Yes. If Auburn wins the LSU at Auburn men's college basketball game originally scheduled for Mar 3, 2026, then the market resolves to Yes.'
Polymarket: Moneyline market correctly specifies mutually exclusive outcomes: LSU win resolves to LSU Tigers, Auburn win resolves to Auburn Tigers. Quote: 'If the LSU Tigers win, the market will resolve to "LSU Tigers". If the Auburn Tigers win, the market will resolve to "Auburn Tigers".'
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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