Polymarket structures three separate binary markets (Canada Win, Draw, Tunisia Win) where exactly one resolves YES, while Kalshi uses a single three-outcome market (Canada Win, Tunisia Win, or Tie) where exactly one resolves YES. The resolution logic and sources align, but the market architecture and settlement mechanics differ fundamentally.
Hero Tip:
If you trade on Polymarket, you must manage three separate positions and ensure exactly one resolves YES. On Kalshi, you select a single outcome from one market. The underlying event is identical, but position management and hedge strategies differ between platforms. Ensure your portfolio accounting reflects the structural difference.
Critical Divergence Points:
Polymarket: Distinct stance: Polymarket uses three separate binary markets (Canada Win YES/NO, Draw YES/NO, Tunisia Win YES/NO) where exactly one resolves YES and the other two resolve NO. Resolution source is FIFA official statistics or credible consensus within 2 hours. Quote: 'If Canada wins, this market will resolve to Yes. Otherwise, this market will resolve to No' (applies to each of the three markets independently).
Kalshi: Distinct stance: Kalshi uses a single three-outcome market where the trader selects one outcome (Canada Win, Tunisia Win, or Tie) and exactly one resolves YES. Resolution is based on the match result after 90 minutes plus stoppage time. Quote: 'If Canada wins...then the market resolves to Yes. If Tunisia wins...then the market resolves to Yes. If Tie wins...then the market resolves to Yes.'
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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