TOTAL VOLUME:
$134.2b
24H VOL:
$126,590,312
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,439,516,703
404,175
Markets across
30,277
events
MATCHED EVENTS:
2,685
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Aug 18, 7:16 PM EST
Kalshi
This event group tracks whether specific chess players will finish in the top 5 of the Titled Tuesday tournament on August 18, 2026. The markets resolve based on the final standings published by the tournament organizer, Chess.com.
This market will resolve to "Yes" if the listed player finishes in the top 5 of Titled Tuesday on August 18, 2026, according to the final standings published by the tournament organizer. Otherwise, this market will resolve to "No". If the listed player does not play, their corresponding market will resolve to "No". If this tournament is postponed after September 1, 2026, 11:59 PM ET, canceled, or final standings have not been published within this timeframe, this market will resolve to "No". The resolution source for this market will be official information from the tournament organizer, Chess.com (https://www.chess.com/events/info/2026-titled-tuesday-blitz); however, a consensus of credible reporting may also be used.
Each market evaluates whether a specific player finishes in the top five positions of the Titled Tuesday weekly chess competition scheduled for August 18, 2026, at 11:00am EDT. The event follows a blitz format and consists of 11 rounds in a Swiss tournament structure. All markets are independent, meaning the resolution for each player depends solely on their individual performance relative to the top-five cutoff. No affiliation or endorsement exists between Kalshi and the governing league, and all trademarks remain the property of their respective owners.
Prediction market odds on this market often reflect sharper, community-driven insights compared to traditional sportsbook lines. While sportsbooks may set prices based on broader public betting patterns and adjusted margins, prediction markets let participants bet directly on their knowledge of player form and tournament dynamics. This can create price differences, especially when niche expertise moves the market on platforms with lower volume.
On Polymarket, this market is priced through user-driven trading, while Kalshi may use different liquidity models or participant dynamics. 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. For example, market depth, trader sentiment, and regional participation can all create pricing gaps. The way each platform handles order execution and fee structures also plays a role. Additionally, differences in how quickly new information is incorporated can lead to temporary mismatches. Over time, as more data flows in, prices across Polymarket and Kalshi often converge, but until then, expect to see variance influenced by these platform-specific factors.