TOTAL VOLUME:
$54.4b
24H VOL:
$234,875,025
OPEN INTEREST:
$1,205,330,693
501,301
Markets across
13,585
events
MATCHED EVENTS:
1,825
PLATFORM COVERAGE:
4
Polymarket:
51%
VS.
Kalshi:
49%
North Carolina Tar Heels vs. Syracuse Orange
Volume:
$4,910,379
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
A men's college basketball game between the North Carolina Tar Heels and Syracuse Orange scheduled for February 21, 2026 at 1:00 PM ET at Syracuse. Markets cover moneyline (winner), point spread (-1.5), and over/under totals (154.5 and 153.5).
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi's moneyline market contains a logical contradiction: both possible game outcomes (NC win and Syracuse win) are mapped to the same resolution (Yes), making the market fundamentally unresolvable and unable to differentiate between outcomes.Hero Tip:
Do not trade the Kalshi moneyline. All Polymarket markets (moneyline, spread, totals) are logically sound and use consistent edge-case handling: postponements keep markets open until completion, full cancellations resolve 50-50, and all resolutions include overtime.Critical Divergence Points:
- Kalshi: Moneyline market maps both NC win and Syracuse win to Yes resolution, creating a tautology. Quote: 'If North Carolina wins...resolves to Yes. If Syracuse wins...resolves to Yes.' This violates binary market logic.
- Polymarket: Moneyline market uses standard binary logic: NC win resolves to 'North Carolina Tar Heels', Syracuse win resolves to 'Syracuse Orange'. Spread and total markets are similarly coherent with clear thresholds and consistent edge-case rules.
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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