This event group covers the Australian A-League soccer match between Melbourne Victory FC and Adelaide United FC scheduled for February 27, 2026. Markets across Kalshi and Polymarket assess the outcome within 90 minutes of regular play plus stoppage time, covering all three possible results: Melbourne Victory win, Adelaide United win, or draw.
Polymarket's draw market has asymmetric cancellation logic (resolves Yes if canceled) compared to its win markets (resolve No if canceled), while Kalshi treats all outcomes uniformly. This creates divergent settlement paths under game cancellation scenarios.
Hero Tip:
If you are long the draw on Polymarket, a game cancellation is a winning outcome. If you are long either team to win on Polymarket, cancellation is a loss. On Kalshi, all three outcomes resolve Yes, so cancellation does not differentiate outcomes. Hedge accordingly if cancellation risk is material.
Critical Divergence Points:
Kalshi: All three outcome markets (Melbourne win, Adelaide win, Tie) resolve to Yes if their respective outcome occurs. No differentiation on cancellation. Quote: 'If Tie wins...then the market resolves to Yes.'
Polymarket: Three separate markets with asymmetric cancellation logic. Win markets (Melbourne, Adelaide) resolve No on cancellation; draw market resolves Yes on cancellation with no makeup. Quote: Draw market 'will resolve to Yes' on cancellation; win markets 'will resolve to No' on cancellation.
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.