Kalshi market resolves YES for all possible outcomes (Torreense win, Fafe win, or tie), making it logically incoherent and fundamentally unresolvable. Polymarket markets have coherent binary or spread-based resolution logic tied to specific score outcomes.
Hero Tip:
Do not trade the Kalshi market. Its resolution criteria guarantee a YES outcome regardless of the match result, rendering it a guaranteed payout with no actual predictive value. All Polymarket markets are tradeable with clear, mutually exclusive outcomes.
Critical Divergence Points:
Polymarket: All markets resolve based on final score within 90 minutes plus stoppage time. Over/Under markets resolve YES if combined goals meet or exceed the threshold (e.g., O/U 2.5 resolves Over if 3+ goals). Spread markets resolve based on goal differential (e.g., SC União Torreense (-1.5) resolves YES if they win by 2+ goals). Both Teams to Score resolves YES only if each team scores at least one goal. Resolution source is ligaportugal.pt or credible consensus if unavailable within 2 hours. Postponement keeps market open; cancellation resolves 50-50.
Kalshi: Market states: 'If Torreense wins... then the market resolves to Yes. If Fafe wins... then the market resolves to Yes. If Tie wins... then the market resolves to Yes.' This creates a logical impossibility where all three mutually exclusive outcomes trigger a YES resolution, violating basic Boolean logic and rendering the market unresolvable.
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.
Follow the signals, not the noise
Get insights on market conviction, notable shifts, and what the data is quietly signaling.