This event group covers a CONMEBOL Libertadores soccer match between CA Boca Juniors and Barcelona SC scheduled for April 14, 2026. Three markets track the outcome: Boca Juniors win, draw, and Barcelona SC win, each resolving based on the result after 90 minutes plus stoppage time (regular play only).
The Polymarket draw market contains a logical inconsistency: it resolves YES if the game is canceled with no makeup, whereas the Boca win and Barcelona win markets both resolve NO in the same scenario. This creates an asymmetric cancellation rule across the market group.
Hero Tip:
Avoid overweighting the Polymarket draw market in arbitrage strategies. If cancellation occurs, the draw market will likely resolve YES while win markets resolve NO, creating a temporary pricing anomaly. Monitor official CONMEBOL communications closely. Kalshi's three-outcome structure is more logically sound and should be treated as the primary reference for settlement disputes.
Critical Divergence Points:
Polymarket: Three separate binary markets: Boca win (NO if canceled), Draw (YES if canceled), Barcelona win (NO if canceled). The draw market uniquely resolves YES on cancellation, creating logical asymmetry. Primary source: CONMEBOL official statistics or credible consensus within 2 hours of conclusion.
Kalshi: Three outcome-based markets (Tie, Barcelona, Boca Juniors) that collectively partition all possible regular-play results. No explicit cancellation clause stated; standard sports market convention applies. Resolves YES only if the specified outcome occurs after 90 minutes plus stoppage time.
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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