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%
KHL: Ak Bars Kazan vs. Lada Togliatti
Volume:
$13,537
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
This event group covers a professional KHL (Kontinental Hockey League) ice hockey match between Ak Bars Kazan and Lada Togliatti scheduled for February 25, 2026. Markets on Polymarket and Kalshi are betting on the outcome of this single game, with resolution based on the final score including overtime and shootout rules.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi market resolves to Yes for both possible game outcomes (Lada Togliatti win and Ak Bars Kazan win), creating a logical contradiction that makes the market unresolvable. Polymarket correctly specifies mutually exclusive outcomes.Hero Tip:
Avoid trading Kalshi until clarification. The market as written violates basic binary logic. Polymarket is the only logically sound venue for this event.Critical Divergence Points:
- Polymarket: Binary outcome market with mutually exclusive resolution paths. Resolves to team name of winner (Ak Bars Kazan or Lada Togliatti); cancellation without makeup resolves 50-50. Includes overtime and shootout scoring rules.
- Kalshi: Market definition maps both possible game outcomes to Yes resolution, violating binary logic. Both 'If Lada Togliatti wins' and 'If Ak Bars Kazan wins' resolve to Yes, leaving no valid No outcome.
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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