This event group covers the outcome of the Auckland FC vs. Perth Glory FC match scheduled for March 7, 2026, in the Australian A-League. The markets track three mutually exclusive outcomes: Perth Glory win, Auckland FC win, or a draw, all measured at the conclusion of 90 minutes plus stoppage time (excluding extra time and penalties).
Cancellation and postponement handling differs between platforms. Polymarket's draw market resolves Yes on cancellation, while win markets resolve No. Kalshi lacks explicit cancellation guidance.
Hero Tip:
If cancellation risk is material, the draw market on Polymarket offers asymmetric upside (Yes on cancellation) compared to win markets (No on cancellation). Kalshi's silence on cancellation creates settlement ambiguity—request clarification before the event.
Critical Divergence Points:
Polymarket: Three separate binary markets: Perth win Yes/No, Auckland win Yes/No, draw Yes/No. All measure 90 minutes plus stoppage time only. Postponement keeps markets open; cancellation with no makeup resolves win markets to No but draw market to Yes. Key quote: 'If the game is canceled entirely, with no make-up game, this market will resolve Yes' (draw) vs. 'resolve No' (win markets).
Kalshi: Three outcomes bundled: if Perth wins, market Yes; if Auckland wins, market Yes; if tie, market Yes. Measures 90 minutes plus stoppage time. No explicit cancellation or postponement clause provided. Key quote: 'If Perth wins...then the market resolves to Yes' (and same for Auckland and tie, but no contingency language).
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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