Marshall Thundering Herd vs. Georgia Southern Eagles (W)
Volume:
$53,014
Markets
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
This event group covers a women's college basketball game between Marshall Thundering Herd and Georgia Southern Eagles scheduled for February 19, 2026 at 6:00 PM ET. Markets on Polymarket and Kalshi are tracking the binary outcome of this matchup, with resolution based on the final score including overtime.
Kalshi's resolution statement contains a logical impossibility: both Marshall winning and Georgia Southern winning are stated to resolve to Yes, which violates binary market mechanics. This is a data integrity failure that makes Kalshi's market fundamentally unresolvable as documented.
Hero Tip:
Do not trade on Kalshi until the resolution logic is clarified. Polymarket's binary structure is sound and unambiguous. If you must trade Kalshi, seek explicit confirmation from their support team on which outcome actually resolves to Yes.
Critical Divergence Points:
Polymarket: Clean binary resolution: Marshall win = Marshall Thundering Herd, Georgia Southern win = Georgia Southern Eagles. Postponement keeps market open; cancellation with no makeup = 50-50 split. Source: NCAA.com final score including overtime.
Kalshi: Contradictory logic: states both 'If Marshall wins... resolves to Yes' AND 'If Georgia Southern wins... resolves to Yes'. A binary market cannot have both outcomes resolve to the same value. This is a critical documentation error.
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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