TOTAL VOLUME:
$61.9b
24H VOL:
$249,705,498
24H TRANSACTIONS:
600,069,390
OPEN INTEREST:
$1,354,509,605
579,516
Markets across
14,317
events
MATCHED EVENTS:
4,116
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 professional SHL (Swedish Hockey League) ice hockey game between Växjö Lakers and Rögle BK scheduled for April 10, 2026. Markets resolve based on which team wins the game, with special handling for postponements and cancellations.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi market contains a logical contradiction where both possible outcomes (Rogle BK wins OR Växjö Lakers wins) are stated to resolve to Yes, making the market mathematically unresolvable. Polymarket presents a coherent binary resolution framework.Hero Tip:
Do not trade Kalshi until the platform corrects the resolution logic. The market cannot be settled as written because every possible game outcome maps to the same resolution state. Polymarket is the only resolvable venue for this event.Critical Divergence Points:
Polymarket:
Binary outcome structure: Vaexjoe win resolves to Vaexjoe, Roegle win resolves to Roegle. Postponements keep market open; cancellations resolve 50-50. Overtime and shootout outcomes count toward final score.Kalshi:
Contradictory resolution logic: If Rogle BK wins, resolves to Yes. If Växjö Lakers wins, resolves to Yes. Both mutually exclusive outcomes cannot both resolve to Yes in a binary Yes/No market.
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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