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%
Harvard Crimson vs. Columbia Lions (W)
Volume:
$60,934
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
This event group covers the women's college basketball game between Harvard Crimson and Columbia Lions scheduled for March 7, 2026 at 1:00 PM ET. The markets track which team wins the game, with resolution based on the final score including overtime.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi's resolution criteria contain a logical contradiction where both possible outcomes (Columbia win and Harvard win) are mapped to the same resolution (Yes), making the market mathematically unresolvable. Polymarket uses standard binary winner-based resolution.Hero Tip:
Kalshi's market is fundamentally broken and will not settle correctly. Polymarket's resolution logic is sound. Trade only on Polymarket. Expect Kalshi to be voided, canceled, or require emergency manual settlement by the platform.Critical Divergence Points:
- Kalshi: Both outcomes map to Yes. If Columbia wins: Yes. If Harvard wins: Yes. This creates a logical impossibility where no outcome can differentiate the resolution. Source: Kalshi platform rules.
- Polymarket: Standard binary winner resolution. Harvard win resolves to Harvard Crimson. Columbia win resolves to Columbia Lions. Postponement keeps market open; cancellation without makeup resolves 50-50. Source: NCAA.com final score including overtime.
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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