Arkansas-Pine Bluff Golden Lions vs. Alabama A&M Bulldogs
Volume:
$735,969
Markets
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
A men's college basketball game between Arkansas-Pine Bluff Golden Lions and Alabama A&M Bulldogs scheduled for February 16, 2026 at 8:00 PM ET. Markets cover moneyline (winner), point spread (Alabama A&M -3.5), and multiple over/under total points variations (140.5, 141.5, 142.5, 143.5, 144.5).
Kalshi moneyline market contains a logical contradiction where both possible game outcomes (Arkansas-Pine Bluff win and Alabama A&M win) are specified to resolve to Yes, making the market fundamentally unresolvable and creating data integrity failure.
Hero Tip:
Do not trade the Kalshi moneyline market - it is logically broken. Use Polymarket moneyline instead, which correctly maps each team's win to their respective resolution outcome. Spread and over/under markets on both platforms are consistent and resolvable.
Critical Divergence Points:
Kalshi: Moneyline market has both outcomes resolving to Yes. If Arkansas-Pine Bluff wins, resolves Yes. If Alabama A&M wins, also resolves Yes. This creates logical impossibility - no way to differentiate winner.
Polymarket: Moneyline market correctly maps outcomes: Arkansas-Pine Bluff win resolves to 'Arkansas-Pine Bluff Golden Lions', Alabama A&M win resolves to 'Alabama A&M Bulldogs'. Logically coherent and resolvable.
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.