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%
NL: Fribourg-Gotteron vs. Geneve-Servette
Volume:
$6,061
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
This event group covers a professional Swiss National League (NL) ice hockey match between Fribourg-Gotteron and Geneve-Servette scheduled for April 8, 2026. Markets resolve based on the final winner of the game, including overtime and shootout outcomes.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi market has a logical contradiction: both possible game outcomes (Genève Servette win and Fribourg Gottéron win) are stated to resolve to Yes, leaving the market fundamentally unresolvable as a binary Yes/No contract.Hero Tip:
Polymarket is the only resolvable market in this group. Kalshi's resolution criteria must be corrected before trading. Request clarification on whether Kalshi intended a different market structure (e.g., moneyline with explicit odds, or a Yes/No on a specific team) or whether the provided description is incomplete.Critical Divergence Points:
- Polymarket: Winner-take-all binary. Resolves to team name of winner. Postponement keeps market open; cancellation resolves 50-50. Shootout adds one goal to winner's score. Fully resolvable logic.
- Kalshi: Stated as Yes/No market but both win conditions resolve to Yes. No explicit No condition provided. Logically contradictory and unresolvable as written.
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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