Counter-Strike: M80 vs 9INE (BO1) - Roman Imperium Cup Group A
Volume:
$33,564
Markets
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
This event group covers a Counter-Strike best-of-one match between M80 and 9INE in the Roman Imperium Cup Group A, scheduled for March 12, 2026 at 7:15 AM ET. Markets track the match winner, and two derivative markets on Map 1 statistics (total rounds and total kills odd/even outcomes).
Kalshi market contains a logical contradiction: both M80 and 9INE winning the match are stated to resolve to Yes, making the market fundamentally unresolvable. Additionally, Kalshi references tournament victory while Polymarket references only the single BO1 match, creating a scope mismatch.
Hero Tip:
Polymarket markets (match winner, Map 1 rounds, Map 1 kills) are logically sound and resolvable against HLTV.org. Kalshi's market is internally contradictory and should not be traded until the platform corrects the resolution logic. Focus trading activity on Polymarket.
Critical Divergence Points:
Polymarket: Match-level binary outcome. Resolves to M80 if M80 wins the BO1; resolves to 9INE if 9INE wins. Forfeits/walkovers before match start = 50-50. Cancellation or >7 day delay = 50-50. Source: HLTV.org primary, credible consensus secondary (within 2 hours post-event).
Kalshi: Tournament-level reference with contradictory logic. States: 'If M80 wins...then resolves to Yes' AND 'If 9INE wins...then resolves to Yes.' Both mutually exclusive outcomes cannot both resolve to Yes. Market is logically unresolvable as written.
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.