This event group covers the professional Brasileiro Serie A soccer match between EC Vitória and CA Mineiro (Atlético Mineiro) scheduled for March 14, 2026. Markets track three mutually exclusive outcomes: Vitória win, draw, or Mineiro win, evaluated at the conclusion of 90 minutes plus stoppage time.
Cancellation handling differs between platforms. Kalshi resolves all outcome markets to Yes regardless of result or cancellation status, while Polymarket applies outcome-specific cancellation rules (draw Yes, win markets No).
Hero Tip:
Monitor CBF official announcements for any postponement or cancellation. If the match is canceled with no makeup, the draw market will resolve opposite on the two platforms (Polymarket Yes, Kalshi Yes, but Kalshi's logic is uniform across all outcomes). For win markets, Polymarket resolves No on cancellation while Kalshi's structure suggests Yes. Clarify Kalshi's cancellation intent before relying on these markets.
Critical Divergence Points:
Kalshi:
All three outcome markets (Vitória win, draw, Mineiro win) are structured identically with resolution to Yes if the specified outcome occurs. No explicit cancellation clause is provided. The uniform Yes resolution across mutually exclusive outcomes is logically atypical.
Polymarket:
Three separate markets with outcome-specific cancellation rules. Draw market resolves Yes on cancellation; Vitória win and Mineiro win markets resolve No on cancellation. Postponement keeps markets open; cancellation with no makeup triggers the specified outcome resolution.
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.