TOTAL VOLUME:
$61.8b
24H VOL:
$236,615,189
24H TRANSACTIONS:
600,069,390
OPEN INTEREST:
$1,344,513,070
577,941
Markets across
14,530
events
MATCHED EVENTS:
4,090
PLATFORM COVERAGE:
4
Polymarket:
50%
VS.
Kalshi:
50%
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
This event group covers a single professional Czech Extraliga hockey match between HC Skoda Plzen and HC Vitkovice scheduled for March 6, 2026 at 11:30 AM EST. Both Kalshi and Polymarket are offering markets on the outcome of this game, with resolution based on the final score including overtime and shootouts.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi and Polymarket use incompatible resolution structures for the same underlying event. Kalshi resolves both team victories to Yes, while Polymarket resolves to the specific winning team name.Hero Tip:
Confirm Kalshi's actual market structure directly with the platform. If Kalshi truly resolves both outcomes to Yes, it is a fundamentally different bet than Polymarket's team-selection market. Do not assume these markets are equivalent or arbitrageable.Critical Divergence Points:
Kalshi:
Binary confirmation structure: If HC Vitkovice wins, resolves to Yes. If HC Skoda Plzen wins, resolves to Yes. No distinction between the two teams; any decisive outcome triggers Yes resolution.Polymarket:
Categorical outcome structure: Resolves to Plzen if Plzen wins, or Vitkovice if Vitkovice wins. Explicitly distinguishes between the two possible team outcomes.
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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