This event group covers a professional Liga Portugal soccer match between Vitória SC (also referred to as Guimaraes) and CD Tondela scheduled for April 3, 2026. Markets across Polymarket and Kalshi are predicting the outcome after 90 minutes of regular play plus stoppage time, with three possible results: a Vitória SC win, a CD Tondela win, or a draw.
Team naming inconsistency (Vitória SC vs. Guimaraes) and conflicting cancellation logic for draw/tie outcomes. Polymarket's draw market resolves YES on full cancellation, while Kalshi's structure does not explicitly address cancellation, creating ambiguity in the tie/draw resolution path.
Hero Tip:
Verify team identity alignment: Vitória SC and Guimaraes are the same club. More importantly, confirm cancellation protocol with both platforms. If the match is canceled with no makeup, Polymarket traders holding the draw are paid out YES, but Kalshi traders holding tie exposure face undefined resolution. Avoid large positions until cancellation language is harmonized.
Critical Divergence Points:
Polymarket: Three independent binary markets (Vitória SC win, CD Tondela win, draw). Draw market explicitly resolves YES if game is canceled entirely with no makeup. Resolution source is Liga Portugal official statistics or credible consensus within 2 hours of conclusion.
Kalshi: Single three-outcome market structure (Guimaraes win, Tie, Tondela win). Each outcome resolves YES only if that result occurs after 90 minutes plus stoppage time. Cancellation logic is not specified; no explicit YES resolution for tie in cancellation scenario.
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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