Valorant: Gentle Mates vs All Gamers (BO3) - VCT Masters Santiago Playoffs
Volume:
$718,033
Markets
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
This event group covers a Valorant Lower Bracket Round 1 match between Gentle Mates and All Gamers in the VCT Masters Santiago Playoffs, scheduled for March 8, 2026 at 1:00 PM ET. Markets span match winner, individual map winners, map handicap, and total maps played across Kalshi and Polymarket platforms.
Kalshi's match winner market contains a logical contradiction where both possible outcomes (Gentle Mates win OR All Gamers win) resolve to Yes, making the market fundamentally unresolvable. Polymarket provides logically sound binary resolution.
Hero Tip:
Do not trade the Kalshi match winner market; it cannot be resolved. For match outcome exposure, use Polymarket's binary market which clearly resolves to either Gentle Mates or All Gamers. All Polymarket subsidiary markets (Map 1, Map 2, handicap, totals) are logically consistent and should resolve based on official vlr.gg data within 2 hours of match conclusion.
Critical Divergence Points:
Kalshi: Match winner market states both 'Gentle Mates wins = Yes' and 'All Gamers wins = Yes', creating a logical impossibility where every outcome resolves to Yes. No mechanism exists to resolve to No.
Polymarket: Match winner market provides mutually exclusive binary outcomes: resolves to Gentle Mates if they win, All Gamers if they win, or 50-50 for cancellation/tie/delay beyond 7 days. Logically sound and resolvable.
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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