TOTAL VOLUME:

$134.2b

24H VOL:

$129,159,707

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,442,132,418

404,744

Markets across

30,489

events

MATCHED EVENTS:

2,691

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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LoL: Team Solid vs Estral Esports (BO1) - Circuito Desafiante Regular Season
polymarket
kalshi

LoL: Team Solid vs Estral Esports (BO1) - Circuito Desafiante Regular Season

Volume:
$47,958

Estral Esports

 - Kalshi

Estral Esports - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Apr 7, 2026

Closed: Apr 6, 11:00 PM EST

kalshi

Kalshi

View
Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Estral Esports

View
100%
Yes 100¢No 0¢
—
N/A
$9,216
N/A
N/A
$4,494
Settled
Yes
polymarket

Odd/Even Total Kills

100%
Yes 100¢No 0¢
—
N/A
$10
N/A
N/A
N/A
Settled
Yes
polymarket

Both Teams Slay a Dragon

100%
Yes 100¢No 0¢
—
N/A
$10
N/A
N/A
N/A
Settled
Yes
polymarket

Match Winner

0%
Yes 0¢No 100¢
—
N/A
$24,865
N/A
N/A
N/A
Settled
No
kalshi

Team Solid

0%
Yes 0¢No 100¢
—
N/A
$13,766
N/A
N/A
$11,975
Settled
No
polymarket

Any Player Penta Kill

0%
Yes 0¢No 100¢
—
N/A
$46
N/A
N/A
N/A
Settled
No
polymarket

Both Teams Slay Baron Nashor

0%
Yes 0¢No 100¢
—
N/A
$20
N/A
N/A
N/A
Settled
No
polymarket

Both Teams Destroy Inhibitors

0%
Yes 0¢No 100¢
—
N/A
$15
N/A
N/A
N/A
Settled
No
polymarket

Any Player Quadra Kill

0%
Yes 0¢No 100¢
—
N/A
$10
N/A
N/A
N/A
Settled
No
Total markets: 9

Description

This market refers to the LoL match between Team Solid and Estral Esports in the Circuito Desafiante Regular Season, initially scheduled for April 6 at 7:00PM ET. This market will resolve to "Team Solid" if Team Solid win the match against Estral Esports. This market will resolve to "Estral Esports" if Estral Esports win the match against Team Solid. 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://gol.gg/esports/home. However, if https://gol.gg/esports/home 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. In cases where a team’s listed name includes minor discrepancies from the resolution source, this market will resolve based on the underlying real-world match rather than exact name matching. Recognizable abbreviations, alternate or erroneous spellings, sponsor tags, affiliate or academy designations, regional identifiers, and minor formatting differences will be treated as referring to the same team, provided the intended team can be clearly and uniquely identified within the relevant competition. If a listed team name has no reasonable connection to any participating team, or if it matches or could reasonably refer to another team in the same competition such that the intended team cannot be unambiguously determined, this market will resolve 50-50.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Polymarket resolves on match outcome with detailed game-specific conditions, while Kalshi's market is logically incoherent—it resolves YES regardless of which team wins, making the market fundamentally unresolvable and creating a data integrity failure.Hero tip: Do not trade Kalshi's market. Its resolution criteria ('If Estral Esports wins... then YES. If Team Solid wins... then YES.') guarantee YES on any outcome, violating basic binary market logic. Polymarket's markets are resolvable and follow standard esports settlement practices.

Critical divergence points:

  • Polymarket: Aligned with standard esports settlement logic: Polymarket offers six distinct, resolvable markets (match winner, quadra kill, odd/even kills, baron slays, dragon slays, penta kill, inhibitor destruction) each with clear YES/NO outcomes based on official gol.gg data. Primary source is https://gol.gg/esports/home with fallback to credible video evidence within 2 hours. All markets include consistent forfeit/cancellation/delay rules (resolve 50-50 if match not played or delayed beyond 7 days). Quote: 'This market will resolve to Team Solid if Team Solid win the match against Estral Esports. This market will resolve to Estral Esports if Estral Esports win the match against Team Solid.'
  • Kalshi: Outlier: Kalshi's market contains a logical contradiction that renders it unresolvable. The resolution criteria state 'If Estral Esports wins... then the market resolves to Yes' AND 'If Team Solid wins... then the market resolves to Yes.' This means the market resolves YES for every possible outcome (either team wins), violating binary market structure and creating a data integrity failure. Quote: 'If Estral Esports wins the Circuito Desafiante 2026: Estral Esports vs. Team Solid League of Legends match originally scheduled for Apr 6, 2026 at 7:00 PM EDT, then the market resolves to Yes. If Team Solid wins the Circuito Desafiante 2026: Estral Esports vs. Team Solid League of Legends match originally scheduled for Apr 6, 2026 at 7:00 PM EDT, then the market resolves to Yes.'
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.