This event group covers the Men's Ice Hockey match between Germany and Latvia scheduled for February 14, 2026, at the Winter Olympics. Three related markets track the match outcome (moneyline), the spread (-1.5 goals for Germany), and the total goals over/under 5.5.
Kalshi's moneyline market contains a logical contradiction (both outcomes resolve Yes), rendering it unresolvable. Polymarket's three markets are logically consistent but represent different settlement scopes (moneyline, spread, total), creating a multi-SKU divergence.
Hero Tip:
Do not trade Kalshi's moneyline due to the unresolvable contradiction. On Polymarket, treat each market independently: moneyline determines winner, spread requires Germany to win by 2+ goals, and total requires 6+ combined goals. All three use the same final score source but different thresholds. Confirm the official Olympic score including overtime and any shootout goal adjustment (one goal added to winning team).
Critical Divergence Points:
Kalshi: Moneyline market states: 'If Germany wins... resolves to Yes' AND 'If Latvia wins... resolves to Yes.' This is a logical tautology—both possible outcomes map to the same resolution, making the market unresolvable. No clear Yes/No distinction exists.
Polymarket: Three distinct markets with consistent internal logic: (1) Moneyline resolves to 'Germany' or 'Latvia' based on winner; (2) Spread (-1.5) resolves to 'Germany' if margin is 2+ goals, else 'Latvia'; (3) Total (O/U 5.5) resolves to 'Over' if combined goals >= 6, else 'Under'. All use final score including overtime and shootout adjustments.
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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