This event group covers a women's college basketball game between Samford Bulldogs and Southern Jaguars scheduled for March 19, 2026 at 7:00 PM ET. The markets track the winner of this single matchup, with different resolution mechanics across platforms.
The two platforms reference different games: Kalshi describes Georgia Southern vs Miami (FL), while Polymarket describes Samford Bulldogs vs Southern Jaguars. Additionally, Kalshi's resolution logic (YES for either team winning) is logically malformed for a binary winner-take-all market. This creates unresolvable ambiguity about which event settles each market.
Hero Tip:
Treat these as separate, unrelated markets until verified. Cross-reference the official NCAA women's basketball schedule for March 19, 2026. If only one game exists, one platform has incorrect metadata. If both games exist, they are distinct events and should not be grouped. Kalshi's dual-YES logic suggests a platform error—escalate to support before trading.
Critical Divergence Points:
Kalshi: References Georgia Southern at Miami (FL) women's college basketball game on Mar 19, 2026. Resolution logic states: If Georgia Southern wins, resolve YES. If Miami (FL) wins, resolve YES. This creates a logical contradiction—both outcomes cannot both resolve to YES in a binary market.
Polymarket: References Samford Bulldogs vs Southern Jaguars women's college basketball game on March 19 at 7:00 PM ET. Resolution: Winner name (Samford Bulldogs or Southern Jaguars). Postponement keeps market open; cancellation with no makeup resolves 50-50. Source: NCAA.com.
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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