LoL: Berlin International Gaming vs G2 NORD (BO5) - Prime League 1st Division Playoffs
Volume:
$33,506
Markets
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
This event group covers a League of Legends Best-of-5 match between Berlin International Gaming (BIG) and G2 NORD in the Prime League 1st Division Playoffs, scheduled for March 6-7, 2026. Markets span match outcome, individual game winners, in-game objectives (dragons, barons, inhibitors), kill statistics, and multi-kill achievements across all five potential games.
Kalshi match winner markets (1-2) contain a logical contradiction: both 'If BIG wins' and 'If G2 NORD wins' resolve to Yes, making the market unresolvable. Polymarket match/game winner markets are logically sound and use consistent team-name resolution.
Hero Tip:
Disregard Kalshi markets 1-2 entirely due to logical impossibility. Trade only Polymarket match winner (32), game winners (44, 60, 80, 82), and objective/kill markets (all platforms) which are logically consistent and resolve via gol.gg.
Critical Divergence Points:
Kalshi: Markets 1-2 state: 'If Berlin International Gaming wins... resolves to Yes' AND 'If G2 NORD wins... resolves to Yes'. This is logically impossible — both outcomes cannot both resolve to Yes. These markets are unresolvable as written.
Polymarket: Markets 32, 44, 60, 80, 82 (match and game winners) resolve to the winning team name (BIG or G2 NORD), with 50-50 fallback for cancellation, delay beyond 7 days, or incomplete play. Logically sound and resolvable.
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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