LoL: TLN Pirates vs Karmine Corp Blue (BO1) - LFL Regular Season
Volume:
$133,485
Markets
Outcome
Chance %
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Volume
24h
7d
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Description
This event group covers a League of Legends Best-of-One match between TLN Pirates and Karmine Corp Blue in the LFL Regular Season, scheduled for April 8, 2026 at 4:00 PM EDT. Markets span match winner, in-game statistics (kills parity, multi-kills), and objective control (Baron, Dragons, Inhibitors).
Kalshi's market uses conditional championship-outcome logic, while Polymarket and the primary match-winner market resolve directly on the single BO1 result. This creates scope divergence: one platform ties resolution to season-long tournament success, the others to immediate match outcome.
Hero Tip:
For trading the core match outcome (winner, in-game stats, objectives), use Polymarket and the primary match-winner market as your reference. Kalshi's market is a separate bet on whether the match winner also wins the LFL 2026 championship—treat it as a compound event, not a direct match-outcome market.
Critical Divergence Points:
Kalshi: Conditional championship-outcome logic. 'If Karmine Corp Blue wins the LFL 2026: Karmine Corp Blue vs. TLN Pirates League of Legends match... then the market resolves to Yes.' Resolution is tied to LFL 2026 championship success, not the immediate match result.
Polymarket & Primary Match-Winner Market: Direct match-outcome resolution. 'This market will resolve to TLN Pirates if TLN Pirates win the match against Karmine Corp Blue.' Resolution depends solely on the BO1 result, independent of championship implications.
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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