Kalshi's three markets create a logical contradiction where all outcomes (Juárez win, Tigres win, or tie) resolve to YES, making the market group fundamentally unresolvable. Polymarket uses standard binary logic where each outcome has a distinct YES/NO resolution, aligned with industry practice.
Hero Tip:
Avoid Kalshi markets in this group entirely — they are logically incoherent and will resolve YES regardless of match outcome, rendering them worthless for prediction. Trade only on Polymarket, where standard binary logic applies: one market resolves YES (the actual winner or draw), and the other two resolve NO.
Critical Divergence Points:
Kalshi: Outlier: All three markets (Juárez win, Tigres win, tie) are structured identically with the same resolution rule: 'If [outcome] wins/occurs, then the market resolves to Yes.' This creates a logical impossibility where every possible match outcome triggers YES on all three markets simultaneously, violating basic mutual exclusivity. Key quote: 'If Tie wins... then the market resolves to Yes. If Juarez wins... then the market resolves to Yes. If Tigres wins... then the market resolves to Yes.'
Polymarket: Aligned with standard prediction market logic: Each of the three markets (Juárez win, draw, Tigres win) uses binary YES/NO resolution where exactly one outcome resolves YES and the other two resolve NO. For example, the Juárez market states 'If FC Juárez wins, this market will resolve to Yes. Otherwise, this market will resolve to No.' This ensures mutual exclusivity and resolvability.
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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