This event group covers the professional Bundesliga 2 soccer match between VfL Bochum and SC Paderborn 07 scheduled for February 15, 2026. Markets track the outcome of the match after 90 minutes of regular play plus stoppage time, including win/loss outcomes for each team and draw possibilities.
Polymarket's draw market resolves Yes upon game cancellation with no makeup, while Polymarket's win markets and Kalshi's all markets resolve No or remain ambiguous. This creates an asymmetric payoff structure for the draw outcome in a cancellation scenario.
Hero Tip:
If cancellation risk is elevated, the draw market on Polymarket becomes a proxy for cancellation insurance. Win markets on both platforms are aligned (resolve No if canceled). Confirm with official Bundesliga sources before match day whether makeup dates are scheduled.
Critical Divergence Points:
Polymarket: Three separate markets: Paderborn win (Yes if Paderborn wins, No otherwise or if canceled), Bochum win (Yes if Bochum wins, No otherwise or if canceled), and Draw (Yes if draw or if game canceled with no makeup, No otherwise). All reference 90 minutes plus stoppage time. Key Quote: Draw market states 'If the game is canceled entirely, with no make-up game, this market will resolve to Yes.'
Kalshi: Three binary outcomes presented as single-resolution markets: Paderborn win resolves Yes, Bochum win resolves Yes, Tie resolves Yes. No explicit cancellation clause. All reference 90 minutes plus stoppage time. Implies standard sports betting convention (postponement = market remains open; cancellation = likely No or void).
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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