Call of Duty: Vancouver Surge vs Toronto KOI (BO5) - Call of Duty League Stage 2 Major Qualifiers Qualifiers
Volume:
$44,812
Markets
Outcome
Chance %
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Liquidity
Volume
24h
7d
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Trade
Description
This event group covers a best-of-five Call of Duty League match between Vancouver Surge and Toronto KOI scheduled for March 14, 2026, at 5:30 PM ET during the Stage 2 Major Qualifiers Qualifiers. Markets span individual game winners, series winner, total games played, and game handicaps across Polymarket and Kalshi platforms.
Unified Resolution Criteria (Consistent across platforms)
Both platforms apply identical core logic: match outcome determined by first team to win 3 games in the best-of-five series, with consistent handling of forfeits, cancellations, and timing thresholds.
Primary resolution logic:
Official Liquipedia Call of Duty database (https://liquipedia.net/callofduty/Main_Page), with credible reporting consensus (including video evidence) as secondary source if Liquipedia does not publish within 2 hours of event conclusion.
Core resolution logic:
Series winner resolves to the team that wins 3 games first in the best-of-five match.
Individual game markets (Game 1, 2, 3, 4 winners) resolve based on the outcome of that specific game only, provided the game is completed.
Games Total O/U 3.5 resolves Over if 4 or more games are played; Under if fewer than 4 games are played.
Games Total O/U 4.5 resolves Over if 5 games are played; Under if fewer than 5 games are played.
Game Handicap TOR (-1.5) resolves to Toronto KOI if they win 2 or more games than Vancouver Surge; otherwise to Vancouver Surge.
Game Handicap TOR (-2.5) resolves to Toronto KOI if they win 3 or more games than Vancouver Surge; otherwise to Vancouver Surge.
Games won by forfeit, disqualification, walkover, or default count toward totals and handicaps, provided the match is completed.
If match begins but is not completed, and one team wins due to opponent forfeiture/disqualification/walkover during play, the series market resolves to the winning team; game-specific and handicap markets resolve to 50-50.
If match ends due to the clinching game being forfeited, this counts as a completed match for all resolution purposes.
Edge cases & Clarifications:
Pre-match Forfeit or Walkover: If the match is forfeited, disqualified, or walked over before any games are played, the series market resolves to 50-50. Individual game markets also resolve to 50-50.
Incomplete Individual Game: If a specific game (e.g., Game 2) is not completed for any reason, that game's market resolves to 50-50. The series may continue and resolve normally if other games are completed.
Match Cancellation or Delay Beyond 7 Days: If the match is canceled entirely or delayed beyond 7 days from March 14, 2026, without play beginning, all markets resolve to 50-50.
Clinching Game Forfeited: If the match reaches a state where one team has won 2 games and the opponent forfeits Game 5 (the clinching game), the match is considered completed and resolves to the team with 3 wins. Games Total and Handicap markets count all 5 games.
Liquipedia Publication Delay: If Liquipedia does not publish final results within 2 hours of match conclusion, resolution may use consensus of credible reporting sources including video evidence.
Timing:
Resolution occurs upon completion of the match (first team to win 3 games) or upon determination that the match will not be completed. Liquipedia publication or credible reporting consensus must occur within 2 hours of event conclusion for standard resolution; if not met, markets may remain pending until confirmation is available.
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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