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. Traktor
Volume:
$10,481
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 Traktor Chelyabinsk scheduled for March 23, 2026. The markets track the outcome of this single game, with resolution based on the final score including overtime and shootout results.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi market contains a logical contradiction where both mutually exclusive outcomes (Traktor win and Ak Bars win) resolve to Yes, making settlement impossible. Polymarket uses a coherent categorical resolution model with explicit edge-case handling.Hero Tip:
Avoid Kalshi until corrected. Polymarket's market is resolvable and should be your primary reference. The Kalshi contradiction suggests a template error on the platform side.Critical Divergence Points:
- Kalshi: Binary Yes resolution for all game outcomes. Both teams winning the game resolve to Yes, creating a logical impossibility. No edge-case handling provided.
- Polymarket: Categorical resolution to team name (Ak Bars Kazan or Traktor). Includes explicit protocols for postponement (market remains open), cancellation (50-50 split), and shootout scoring (one goal added to winner). Source: KHL official calendar.
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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