TOTAL VOLUME:
$54.4b
24H VOL:
$234,875,025
OPEN INTEREST:
$1,205,330,693
501,301
Markets across
13,585
events
MATCHED EVENTS:
1,825
PLATFORM COVERAGE:
4
Polymarket:
51%
VS.
Kalshi:
49%
SNHL: Bern vs. Kloten Flyers
Volume:
$441
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
This event group covers a Swiss National League (SNHL) ice hockey match between SC Bern and EHC Kloten Flyers scheduled for February 24, 2026. Markets resolve based on which team wins the game, with provisions for postponements, cancellations, and shootout outcomes.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi market has a logical contradiction: both team-win outcomes resolve to Yes, making the No resolution path impossible. Polymarket is a proper binary outcome market. The two platforms measure fundamentally different things.Hero Tip:
Kalshi's market is critically flawed and unresolvable as currently written. Polymarket is the only tradeable market in this group. Avoid Kalshi until the market is corrected or clarified by the platform.Critical Divergence Points:
- Polymarket: Binary outcome market resolving to team name. Bern win = 'Bern', Kloten win = 'Kloten Flyers'. Postponement keeps market open; cancellation without makeup resolves 50-50. Shootout adds one goal to winner's score for resolution purposes.
- Kalshi: Logically contradictory Yes/No market. States 'If SC Bern wins... resolves to Yes' AND 'If EHC Kloten wins... resolves to Yes.' No condition maps to No resolution, making the market unresolvable.
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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