LoL: Onion Team vs Orbit Anonymo (BO5) - Rift Legends Playoffs
Volume:
$106,196
Markets
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
This event group covers a best-of-five League of Legends playoff match between Onion Team and Orbit Anonymo scheduled for February 24, 2026 at 11:00 AM ET in the Rift Legends Playoffs. Markets span match winner, individual game winners (Games 1-4), total games played, and game handicaps, all sourced from gol.gg/esports/home.
Kalshi match winner market contains a logical contradiction where both team victory scenarios are stated to resolve to Yes, making the market fundamentally unresolvable. Polymarket provides clear, mutually exclusive outcomes.
Hero Tip:
Avoid trading the Kalshi match winner market until the contradiction is resolved by the platform. Polymarket's match winner market is logically sound and should be used as the primary reference for overall match outcome.
Critical Divergence Points:
Kalshi: Match winner market states: If Onion Team wins the match, resolves to Yes. If Orbit Anonymo wins the match, resolves to Yes. This creates a logical impossibility where both mutually exclusive outcomes cannot both be Yes. No fallback criteria provided for cancellation or delay.
Polymarket: Match winner market clearly specifies: Resolves to Onion Team if Onion Team wins; resolves to Orbit Anonymo if Orbit Anonymo wins. Includes explicit 50-50 fallback for cancellation, tie, delay beyond 7 days, or forfeit before match start. Forfeiture during match results in winner resolution.
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.
Follow the signals, not the noise
Get insights on market conviction, notable shifts, and what the data is quietly signaling.