TOTAL VOLUME:
$61.8b
24H VOL:
$257,828,392
24H TRANSACTIONS:
600,069,390
OPEN INTEREST:
$1,354,664,501
579,454
Markets across
14,299
events
MATCHED EVENTS:
4,106
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 Färjestad and Timrå IK scheduled for March 12, 2026. Markets resolve based on which team wins the game, with special handling for postponements, cancellations, and shootouts.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Polymarket uses a binary team-name resolution (Färjestad vs Timrå) with explicit postponement and cancellation rules, while Kalshi's Yes/No structure resolves both team wins to Yes, creating incompatible settlement frameworks and missing cancellation/postponement guidance on Kalshi.Hero Tip:
Verify Kalshi's full resolution logic for cancellations and postponements before trading. Confirm that Kalshi's Yes/No market is not a Yes-only trap. Polymarket's 50-50 split on full cancellation is more trader-friendly than ambiguity.Critical Divergence Points:
Polymarket:
Binary outcome: resolves to 'Faerjestad' if Färjestad wins, 'Timraa' if Timrå wins. Postponed games keep market open; fully canceled games resolve 50-50. Shootout adds one goal to winner's score for resolution purposes.Kalshi:
Yes/No structure where both 'Färjestad wins' and 'Timra IK wins' resolve to Yes. No explicit No outcome, postponement, or cancellation clause provided in source data.
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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