TOTAL VOLUME:
$54.1b
24H VOL:
$198,735,462
24H TRANSACTIONS:
527,413,651
OPEN INTEREST:
$1,238,334,809
499,092
Markets across
13,695
events
MATCHED EVENTS:
1,769
PLATFORM COVERAGE:
4
Polymarket:
51%
VS.
Kalshi:
49%
SHL: Timraa vs. Brynaes
Volume:
$21
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
This event group covers the SHL (Swedish Hockey League) matchup between Timraa and Brynaes scheduled for March 5, 2026. The markets resolve based on which team wins the game, with provisions for postponement, cancellation, and overtime/shootout outcomes.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi's resolution conditions are logically contradictory: both a Brynas IF win and a Timra IK win are stated to resolve to Yes, making the market fundamentally unresolvable as a binary outcome.Hero Tip:
Treat Kalshi as unresolvable until clarification. Polymarket follows standard sports betting logic. If you hold Kalshi positions, request immediate clarification from support on whether the second condition should read 'resolves to No' instead of 'resolves to Yes.'Critical Divergence Points:
- Polymarket: Binary resolution: Timraa win resolves to Timraa, Brynaes win resolves to Brynaes. Overtime and shootouts included in final score. Cancellation without makeup resolves 50-50. Source: shl.se.
- Kalshi: Both outcomes stated to resolve Yes: 'If Brynas IF wins... resolves to Yes' and 'If Timra IK wins... resolves to Yes.' This is a logical contradiction that prevents proper binary resolution.
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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