LoL: Vivo Keyd Stars vs LOS (BO3) - CBLOL Regular Season
Volume:
$646,949
Markets
Outcome
Chance %
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Liquidity
Volume
24h
7d
Open Interest
Ends in
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Trade
Description
This event group covers a best-of-three League of Legends match between Vivo Keyd Stars and LOS in the CBLOL Regular Season, initially scheduled for April 14, 2026 at 5:00 PM EDT. Markets span series outcomes, individual game winners, objective control (Baron, Dragon, Inhibitors), kill statistics (totals, Quadra/Penta kills), and first blood events across Games 1, 2, and 3.
Unified Resolution Criteria (Consistent across platforms)
Kalshi and Polymarket both resolve all markets based on official information from https://gol.gg/esports/home, with identical fallback to credible reporting if gol.gg results are unavailable within 2 hours post-event, and both apply the same cancellation/delay/forfeit rules (50-50 resolution for matches delayed beyond 7 days, canceled, or ending in walkover/disqualification).
Primary resolution logic:
Official information from https://gol.gg/esports/home; credible reporting (including video evidence) if gol.gg has not published final results within 2 hours after event conclusion.
Core resolution logic:
Match-level markets (Series Winner, Game Winners, O/U 2.5 Maps, Handicap) resolve based on the final series outcome: a team wins the series by winning 2 games in a best-of-3 format.
Game-specific markets (Baron, Dragon, Inhibitor, Quadra/Penta Kills, Odd/Even Kills, First Blood, Total Kills O/U) resolve based on in-game statistics for that specific game only.
If a game is not played due to series clinch, forfeit, disqualification, or walkover, game-specific markets resolve 50-50.
If a game begins but is not completed (surrender before objective is achieved), markets resolve NO for 'both teams' objectives; markets resolve based on what occurred prior to stoppage for individual achievements (First Blood, Quadra/Penta Kills).
If a game is remade, resolution is based on the remade game only.
If the match is canceled entirely or delayed beyond 7 days without play, all markets resolve 50-50.
Executions (non-champion kills) do not count toward kill totals.
Elder Dragon kills do not count toward 'Both Teams Slay a Dragon' markets; only elemental dragons count.
Games won by forfeit, disqualification, walkover, or default are counted toward series totals and handicap calculations, provided the match is completed.
Edge cases & Clarifications:
Series Clinch Before Game 3: If one team wins 2-0, Game 3 is not played. All Game 3-specific markets resolve 50-50 per both platforms' rules.
Game Surrender Mid-Play: If a game ends via surrender before an objective is achieved (e.g., Baron not slain by either team), 'Both Teams' markets resolve NO. Individual achievement markets (First Blood, Quadra Kill) resolve based on what occurred prior to surrender.
Game Remake: If a game is remade, all resolution is based on the remade game only; pre-remake statistics are discarded.
No Kills Recorded in Game: If a completed game has zero kills, Odd/Even Total Kills markets resolve 50-50 per both platforms.
First Blood Never Occurs: If a game is completed but no first blood occurs, First Blood markets resolve 50-50.
Timing:
Resolution occurs upon official publication of final match and game results on https://gol.gg/esports/home. If gol.gg does not publish within 2 hours after the event concludes, resolution is based on consensus of credible reporting and video evidence. For series-level markets, timing is upon series conclusion. For game-specific markets, timing is upon that game's conclusion.
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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