TOTAL VOLUME:
$54.6b
24H VOL:
$283,259,638
OPEN INTEREST:
$1,235,549,422
505,521
Markets across
13,661
events
MATCHED EVENTS:
1,892
PLATFORM COVERAGE:
4
Polymarket:
51%
VS.
Kalshi:
49%
Old Dominion Monarchs vs. Georgia State Panthers (W)
Volume:
$160,172
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 Old Dominion Monarchs and Georgia State Panthers scheduled for February 19, 2026 at 5:30 PM ET. The markets resolve based on which team wins the game, with provisions for postponement, cancellation, and overtime.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi's resolution logic is logically incomplete, defining only Yes outcomes without specifying No resolution conditions or cancellation handling. Polymarket provides explicit cancellation and postponement rules that Kalshi does not address.Hero Tip:
Avoid ambiguity by trading on Polymarket, which has complete edge-case coverage. If trading Kalshi, request clarification on how postponements and cancellations resolve before committing capital.Critical Divergence Points:
- Polymarket: Winner-based resolution (Old Dominion Monarchs or Georgia State Panthers) with explicit 50-50 split if game is canceled entirely with no make-up. Postponements keep market open until completion. Final score including overtime determines winner.
- Kalshi: Binary Yes/No structure where Yes resolves if either team wins, but No resolution condition is undefined. No explicit handling of postponements or cancellations. Ambiguous what happens if game does not occur.
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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