This event group covers the La Liga 2 match between Real Sporting de Gijón and CD Leganés scheduled for March 1, 2026. Markets across Polymarket and Kalshi assess the three possible outcomes: a Leganés win, a Gijón win, or a draw. All resolution criteria focus on the result after 90 minutes of regular play plus stoppage time, excluding extra time and penalties.
The draw/tie market on Polymarket treats game cancellation as a draw resolution (YES), while Kalshi's tie market only resolves YES for an actual on-field draw. This creates a settlement divergence in the cancellation edge case.
Hero Tip:
Monitor official La Liga 2 sources for any postponement or cancellation announcements. If the match is canceled with no reschedule, Polymarket's draw market will resolve YES while Kalshi's will not. Position accordingly based on your platform exposure.
Critical Divergence Points:
Polymarket: Offers three separate binary markets: Leganés win, Gijón win, and draw. All three markets remain open if postponed. Critically, the draw market resolves YES if the game is canceled entirely with no make-up game. Win markets resolve NO in cancellation. Resolution scope: 90 minutes plus stoppage time only.
Kalshi: Offers three outcome-based markets covering Leganés win, Gijón win, and tie, each resolving YES if that outcome occurs after 90 minutes plus stoppage time. No explicit cancellation clause provided; standard practice implies cancellation would likely resolve based on official league determination or market discretion, not automatically to YES for the tie market.
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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