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 the SHL (Swedish Hockey League) match between Roegle BK and Färjestad, scheduled for March 26, 2026 at 2:00 PM EDT. Both Polymarket and Kalshi are offering prediction markets on the outcome of this professional ice hockey game.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi market contains a logical contradiction: both possible game outcomes (Färjestad win or Rogle BK win) are mapped to Yes resolution, leaving no valid path to No resolution. This makes the market fundamentally unresolvable as stated.Hero Tip:
Do not trade Kalshi's version of this market until the resolution logic is clarified. The market structure as documented is internally inconsistent. Polymarket's binary outcome design is standard and resolvable. Confirm Kalshi's actual terms directly with the platform.Critical Divergence Points:
Polymarket:
Standard binary match outcome market. Resolves to 'Roegle' if Roegle wins, 'Färjestad' if Färjestad wins. Includes overtime and shootout scoring. Postponement keeps market open; cancellation with no makeup resolves 50-50.Kalshi:
Market resolves to Yes if Färjestad wins OR if Rogle BK wins. No resolution path to No is defined for any game outcome, creating a logical impossibility.
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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