This event group covers a Turkish Super Lig soccer match between Gençlerbirliği SK and Çaykur Rizespor scheduled for February 14, 2026. Markets are offered on Kalshi and Polymarket, with resolution based on the outcome after 90 minutes plus stoppage time (regulation play only).
Cancellation handling differs between platforms. Kalshi provides no explicit cancellation clause, while Polymarket specifies that draw markets resolve Yes and win markets resolve No if the game is canceled with no makeup.
Hero Tip:
Monitor TFF.org for any postponement or cancellation announcements. If cancellation occurs, Kalshi markets may require discretionary settlement, while Polymarket outcomes are predetermined. Consider the asymmetric payoff structure: a canceled game favors draw backers on Polymarket but leaves Kalshi traders in uncertainty.
Critical Divergence Points:
Kalshi: Three binary markets covering all three outcomes (tie, Rizespor win, Genclerbirligi win). Each resolves to Yes if its outcome occurs after 90 minutes plus stoppage time. No explicit cancellation clause provided. Key Quote: 'If Tie wins... then the market resolves to Yes' (and similar for each outcome).
Polymarket: Three separate markets: draw (Yes if draw, No otherwise), Rizespor win (Yes if Rizespor wins, No otherwise), Genclerbirligi win (Yes if Genclerbirligi wins, No otherwise). Explicit cancellation clause: draw market resolves Yes if canceled; win markets resolve No if canceled. Key Quote: 'If the game is canceled entirely, with no make-up game, this market will resolve to [Yes/No]'.
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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