LoL: Orbit Anonymo vs devils.one (BO3) - Rift Legends Regular Season
Volume:
$168,974
Markets
Outcome
Chance %
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Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
This event group covers a Best-of-3 League of Legends match between Orbit Anonymo and devils.one in the Rift Legends Regular Season, scheduled for April 15, 2026 at 11:00 AM EDT. Markets span series outcome, individual game winners, objective-based metrics (Baron, Dragon, Inhibitor destruction), player multikills, kill parity, and game count.
Kalshi's match winner market contains a logical contradiction: both resolution conditions (Orbit Anonymo wins → Yes, devils.one wins → Yes) map to the same outcome, making the market fundamentally unresolvable. Polymarket uses standard mutually exclusive binary logic.
Hero Tip:
Do not trade Kalshi's match winner market. All game-specific and series outcome predictions should use Polymarket's markets (Game 1/2/3 Winner, main series outcome, Games Total O/U 2.5, Handicap). These use consistent, resolvable binary logic across all platforms.
Critical Divergence Points:
Kalshi: Match winner market states: 'If Orbit Anonymo wins...then resolves to Yes' AND 'If devils.one wins...then resolves to Yes'. Both mutually exclusive outcomes map to identical resolution (Yes), creating a logical impossibility. No path to No resolution exists.
Polymarket: All series and game-specific markets use standard binary logic: 'Resolves to Orbit Anonymo if Orbit Anonymo wins' and 'Resolves to devils.one if devils.one wins'. Mutually exclusive outcomes, resolvable in all scenarios.
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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