Arkansas-Pine Bluff Golden Lions vs. Alabama State Hornets (W)
Volume:
$6,220
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 Arkansas-Pine Bluff Golden Lions and Alabama State Hornets scheduled for February 14, 2026 at 2:00 PM ET. The market resolves based on which team wins the game, with specific provisions for postponements and cancellations.
Kalshi market contains a logical contradiction where both possible outcomes (Arkansas-Pine Bluff win and Alabama State win) resolve to Yes, making the market fundamentally unresolvable. Polymarket uses a standard winner-identification structure with explicit edge-case handling.
Hero Tip:
Do not trade the Kalshi market until the platform clarifies the resolution logic. The current terms suggest a drafting error. Polymarket's market is well-structured and resolvable; focus trading activity there if you have conviction on the game outcome.
Critical Divergence Points:
Kalshi: Both outcomes resolve to Yes: 'If Arkansas-Pine Bluff wins... resolves to Yes' AND 'If Alabama St. wins... resolves to Yes.' This creates a logical impossibility where the market cannot differentiate between the two teams.
Polymarket: Resolves to winning team name: 'If Arkansas-Pine Bluff wins, resolves to Arkansas-Pine Bluff Golden Lions. If Alabama State wins, resolves to Alabama State Hornets.' Includes explicit cancellation rule: if game is canceled with no makeup, resolves 50-50.
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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