Counter-Strike: Alliance vs ARCRED (BO3) - CCT Europe Series #16 Playoffs
Volume:
$181,267
Markets
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24h
7d
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Description
This event group covers a Counter-Strike Best-of-3 match between Alliance and ARCRED in the CCT Europe Series #16 Playoffs, scheduled for February 25, 2026 at 4:00 AM ET. Markets span match winner, individual map winners (Map 1 and Map 2), map handicap, and total games played, with resolution tied to official HLTV.org results.
Kalshi market contains a logical contradiction: both possible match outcomes (Alliance win and ARCRED win) are mapped to the same resolution state (Yes), making the market unresolvable and creating a data integrity failure.
Hero Tip:
Do not trade the Kalshi market. It is logically incoherent and cannot be settled fairly. All six Polymarket markets are well-defined and should be used as the authoritative resolution framework. Verify with PredictionHero support that Kalshi's market definition is corrected or removed.
Critical Divergence Points:
Kalshi: Market states: 'If Alliance wins... then Yes. If ARCRED wins... then Yes.' This is a tautology with no defined No outcome. Every possible match result resolves to Yes, making the market logically impossible to settle.
Polymarket: Six distinct markets with clear binary outcomes: Match Winner (Alliance vs ARCRED), Map 1 Winner, Map 2 Winner, Map Handicap (-1.5 vs +1.5), and Games Total (Over/Under 2.5). All use HLTV.org as primary source with 2-hour publication window; 50-50 resolution for cancellation, 7-day delay, or incomplete play.
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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