TOTAL VOLUME:
$54.3b
24H VOL:
$198,896,558
OPEN INTEREST:
$1,191,591,877
500,572
Markets across
13,691
events
MATCHED EVENTS:
1,797
PLATFORM COVERAGE:
4
Polymarket:
51%
VS.
Kalshi:
49%
Penn State Nittany Lions vs. Indiana Hoosiers (W)
Volume:
$32,270
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 Penn State Nittany Lions and Indiana Hoosiers scheduled for February 28, 2026 at 2:00 PM ET. Markets across platforms are betting on which team will win the game, with resolution based on the final score including overtime.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi's resolution rule contains a logical contradiction where both Penn State winning and Indiana winning resolve to Yes, making the market fundamentally unresolvable. Polymarket uses standard binary winner-take-all logic.Hero Tip:
Do not trade on Kalshi until the contradiction is resolved with platform support. The market cannot distinguish between the two possible outcomes. Polymarket is the only reliable venue for this event.Critical Divergence Points:
- Polymarket: Standard binary sports resolution: Penn State win resolves to Penn State Nittany Lions, Indiana win resolves to Indiana Hoosiers. Postponement keeps market open; cancellation without makeup resolves 50-50. Resolution based on final score including overtime.
- Kalshi: Contradictory resolution logic: states both Indiana winning and Penn State winning resolve to Yes. This creates a logical impossibility where the market cannot differentiate between the two mutually exclusive outcomes of a single game.
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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