TOTAL VOLUME:

$54.4b

24H VOL:

$224,446,576

24H TRANSACTIONS:

531,611,392

OPEN INTEREST:

$1,198,377,813

501,416

Markets across

13,642

events

MATCHED EVENTS:

1,816

PLATFORM COVERAGE:

4

Polymarket:

51%

VS.

Kalshi:

49%

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Trending

Counter-Strike: METANOIA WOLVES vs Back to Back (BO3) - CCT South America Series #10 Group Stage

Volume:
$71,025
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade

Description

This market refers to the Counter-Strike Round 3 match between METANOIA WOLVES and Back to Back in the CCT South America Series #10 Group Stage, initially scheduled for March 18 at 12:00PM ET. This market will resolve to "METANOIA WOLVES" if METANOIA WOLVES win the match against Back to Back . This market will resolve to "Back to Back " if Back to Back win the match against METANOIA WOLVES. If the match is canceled (not played at all), ends in a tie, or is delayed beyond 7 days from the scheduled date without a winner determined, this market will resolve to 50-50. If the match begins but is not completed, and one team wins due to the opponent's forfeiture, disqualification, or walkover, this market will resolve to the team who wins. If the match ends in a forfeit, disqualification, or walkover (team withdraws before the start and the other wins automatically), this market will resolve to 50-50. The resolution source for this market will be official information from https://hltv.org. However, if https://hltv.org has not published final results within 2 hours after the event’s conclusion, a consensus of credible reporting may be used instead including video evidence.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue:

Kalshi and Polymarket resolve on fundamentally different events. Kalshi resolves on match outcome (either team winning), while Polymarket resolves on specific map winners and series statistics. Kalshi's markets are logically contradictory—both outcomes cannot simultaneously resolve YES.

Hero Tip:

Kalshi's match-outcome market contains a logical error: both 'METANOIA WOLVES wins' and 'Back to Back wins' resolve to YES, making the market unresolvable. Polymarket's markets are granular and resolvable (Map 1 winner, Map 2 winner, series length, handicaps, odd/even statistics). Do not trade Kalshi's contradictory markets; focus on Polymarket's well-defined sub-event markets.

Critical Divergence Points:

  • Kalshi: Outlier: Kalshi's single market states 'If METANOIA WOLVES wins... then resolves YES' AND 'If Back to Back wins... then resolves YES,' creating a logical contradiction where both mutually exclusive outcomes resolve to the same result. This makes the market fundamentally unresolvable. Quote: 'If METANOIA WOLVES wins the CCT South America Series #10 2026: Back to Back vs. METANOIA WOLVES CS2 match... then the market resolves to Yes. If Back to Back wins the CCT South America Series #10 2026: Back to Back vs. METANOIA WOLVES CS2 match... then the market resolves to Yes.'
  • Polymarket: Aligned with sound resolution logic: Polymarket offers 9 distinct, mutually exclusive markets covering map-level outcomes (Map 1 Winner, Map 2 Winner, Map 3 Winner), series statistics (Odd/Even Kills and Rounds per map), series length (Games Total O/U 2.5), handicaps, and overall match winner. Each market has clear binary or ternary outcomes with consistent resolution source (HLTV.org) and fallback procedures. Quote: 'This market will resolve to METANOIA WOLVES if METANOIA WOLVES win Map 1 against Back to Back. This market will resolve to Back to Back if Back to Back win Map 1 against METANOIA WOLVES.'
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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