This event group covers multiple prediction markets for the UFC Fight Night preliminary bout between Joselyne Edwards and Nora Cornolle (Women's Bantamweight division), scheduled for February 21, 2026 at UFC Fight Night: Strickland vs. Hernandez. Markets span fight winner, method of victory (KO/TKO, submission, decision), fight duration thresholds, and distance completion.
Kalshi source data contains a logical contradiction (both fighter outcomes resolve Yes), making those markets fundamentally unresolvable as stated. Polymarket provides coherent, granular resolution rules with explicit edge-case handling.
Hero Tip:
Do not trade Kalshi markets based on the provided source data. Contact Kalshi support to clarify market structure. Use Polymarket as the authoritative resolution framework for this event group, as it provides clear winner selection, method specificity, and robust fallback rules.
Critical Divergence Points:
Kalshi: Markets state: 'If Joselyne Edwards wins... resolves to Yes' AND 'If Nora Cornolle wins... resolves to Yes.' This is logically impossible and indicates either corrupted source data or a misunderstanding of the market structure. No edge-case handling (cancellation, postponement, no-contest) is documented.
Polymarket: Provides mutually exclusive outcomes: Edwards vs. Cornolle for winner selection; Yes/No for method-specific markets (KO/TKO, submission, distance). All markets include explicit 50-50 resolution for no-contests, cancellations, postponements beyond March 7, 2026, and exact-threshold ties. Resolution source: official UFC information.
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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