Call of Duty: Paris Gentle Mates vs G2 Minnesota (BO5) - Call of Duty League Stage 2 Major Qualifiers Qualifiers
Volume:
$50,602
Markets
Outcome
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24h
7d
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Description
This event group covers a Best-of-5 Call of Duty League match between Paris Gentle Mates and G2 Minnesota scheduled for March 7, 2026, at 3:00 PM ET during the Stage 2 Major Qualifiers. Markets span match winner, individual game winners (Games 1-4), games total over/under thresholds (3.5 and 4.5), and game handicaps (-1.5 and -2.5).
Kalshi's match-winner market contains a logical contradiction where both possible outcomes (G2 Minnesota wins OR Paris Gentle Mates wins) are mapped to the same resolution (Yes), making the market fundamentally unresolvable and creating a data integrity failure.
Hero Tip:
Do not trade the Kalshi market. It is logically broken. All actionable markets exist on Polymarket and follow consistent, resolvable logic tied to official Liquipedia results with a 2-hour publication window and credible reporting fallback.
Critical Divergence Points:
Kalshi: Match-winner market states: 'If G2 Minnesota wins... resolves to Yes' AND 'If Paris Gentle Mates wins... resolves to Yes.' This creates a logical impossibility where every outcome resolves Yes, violating binary market structure. No No outcome is defined.
Polymarket: Match-winner market (BO5) resolves to Paris Gentle Mates if they win, G2 Minnesota if they win, or 50-50 if canceled, tied, delayed >7 days, or ends via forfeit/disqualification/walkover before play begins. All game-specific and handicap markets follow identical tie-breaker logic.
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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