This event group covers the professional Ligue 1 soccer match between FC Metz and AJ Auxerre scheduled for February 15, 2026. Markets span three outcome types: match result (win/draw/loss), goal differential thresholds (1.5 and 2.5 goal margins), and cancellation scenarios. All markets reference the same 90-minute regulation period plus stoppage time.
Cancellation handling differs between platforms. Polymarket explicitly resolves draw to YES and wins to NO on cancellation; Kalshi goal differential markets lack a stated cancellation clause, creating potential ambiguity.
Hero Tip:
Monitor match status closely. If cancellation occurs, Polymarket draw backers win automatically while win backers lose—verify this asymmetry is intentional before trading. Kalshi goal differential markets may require manual adjudication or discretionary resolution if no make-up game is scheduled.
Critical Divergence Points:
Polymarket: Three binary markets (draw, Metz win, Auxerre win) all reference the same match on 2026-02-15. Cancellation with no make-up resolves draw to YES and both win markets to NO. Quote: 'If the game is canceled entirely, with no make-up game, this market will resolve to "Yes"' (draw) vs. 'this market will resolve "No"' (wins).
Kalshi: Four goal differential markets (Metz >2.5, Metz >1.5, Auxerre >1.5, Auxerre >2.5) specify resolution only if the stated condition is met after 90 minutes plus stoppage time. No explicit cancellation clause provided. Quote: 'If Metz wins by more than X goals... then the market resolves to Yes' with no fallback for non-completion.
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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