This event group covers a Serie B professional soccer match between Calcio Padova and Spezia Calcio scheduled for March 3, 2026 at 1:00 PM ET. Markets include point spreads (Padova -2.5, -1.5; Spezia -2.5, -1.5), total goals over/under (1.5, 2.5, 3.5, 4.5), and both teams to score. Resolution is based on the official final score after 90 minutes of regular play plus stoppage time.
Kalshi markets resolve to Yes for any match outcome (win/loss/tie), while Polymarket markets resolve based on specific score margins, goal totals, and team performance thresholds. The markets measure fundamentally different propositions.
Hero Tip:
Kalshi markets are binary event confirmations (did the match happen and complete?), not outcome predictions. Polymarket markets are outcome-specific predictions. Use Polymarket for directional bets and Kalshi only as a hedge on match completion.
Critical Divergence Points:
Polymarket: All markets resolve based on quantitative thresholds tied to final score. Spread markets require margin wins (2+ or 3+ goals). Over/Under markets require combined goal thresholds (2, 3, 4, or 5+ goals). Both Teams to Score requires each team to score at least 1 goal. Resolution source: legab.it official final score within 2 hours, or credible consensus if delayed.
Kalshi: All three listed markets resolve to Yes if the match occurs and completes after 90 minutes plus stoppage time, regardless of final score or outcome. No outcome-specific thresholds are defined. The markets appear to be generic match-completion confirmations rather than outcome predictions.
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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