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%
SHL: Djurgaarden vs. HV 71
Volume:
$1,774
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
This event group covers the professional SHL (Swedish Hockey League) ice hockey match between Djurgaarden and HV 71 scheduled for February 26, 2026. Markets on Polymarket and Kalshi both resolve based on the final game outcome, with specific handling for postponements, cancellations, and shootouts.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi market contains a logical contradiction: both possible game outcomes (HV71 win and Djurgardens win) are mapped to the same resolution (Yes), making the market unresolvable and creating a data integrity failure.Hero Tip:
Do not trade on Kalshi until this is corrected. The market cannot resolve to No regardless of the game result. Use Polymarket as the authoritative source for this event.Critical Divergence Points:
- Polymarket: Binary outcome market with clear resolution paths: Djurgaarden win resolves to Djurgaarden, HV 71 win resolves to HV 71. Postponements keep market open; cancellations resolve 50-50. Shootout goals are counted in final score. Source: SHL official site.
- Kalshi: YES/NO market with critical flaw: both HV71 win and Djurgardens win are stated to resolve to Yes, leaving no outcome path to No. This creates an unresolvable market structure.
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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