TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 8, 8:04 PM EST
Kalshi
This group concerns a table tennis match between Kiilo Serhii and Horokh Roman in the Setka Cup Ukraine Men tournament. The markets aim to predict the winner of this match, with specific rules for cancellations, ties, and incomplete matches.
This market refers to the table tennis match between Kiilo Serhii and Horokh Roman in Setka Cup Ukraine Men, scheduled for September 8 at 8:00AM ET. This market will resolve to 'Kiilo Serhii' if Kiilo Serhii wins against Horokh Roman. This market will resolve to 'Horokh Roman' if Horokh Roman wins against Kiilo Serhii. 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 player advances due to the opponent's retirement, default, or disqualification, this market will resolve to the player who advances. If the match ends in a walkover (player withdraws before the start and the other advances automatically), this market will resolve to 50-50. The primary resolution source for this market is the official statistics of the event as recognized by the governing body or event organizers. However, if the governing body or event organizers have not published final match statistics within 2 hours after the event's conclusion, a consensus of credible reporting may be used instead.
If Won IL Kwon wins the Kwon vs Gomes professional MMA fight originally scheduled for Sep 8, 2026, then the market resolves to Yes. If Severino Apollo Gomes wins the Kwon vs Gomes professional MMA fight originally scheduled for Sep 8, 2026, then the market resolves to Yes.
Prices for the Kiilo vs. Horokh match may differ between Polymarket and Kalshi due to several factors. Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Each platform has its own user base, trading dynamics, and fee structure, which can influence price discovery. Differences in liquidity—the volume of trading activity—can also lead to price discrepancies. Furthermore, the platforms may attract different types of traders, with varying levels of expertise or access to information. These factors contribute to the independent price formation observed across prediction markets, even for the same underlying event.
Several signals or events could significantly move this market before it resolves. Any news regarding the players' form, injuries, or changes in strategy could impact the perceived probabilities. Unexpected announcements about the match schedule or venue could also cause fluctuations. Public sentiment, as reflected in social media or expert opinions, can also influence trading activity. Major upsets in related matches or tournaments could shift expectations, and even late-breaking news about weather conditions (if applicable) could play a role in how this market evolves.