TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: May 30, 11:14 PM EST
Kalshi
Players from San Antonio and Oklahoma City are monitored to see if they achieve a triple-double (double digits in three statistical categories) during a professional basketball game scheduled for May 30, 2026.
Prediction market odds on Kalshi often differ from traditional sportsbook odds because they reflect real-time trader sentiment rather than bookmaker pricing models. Sportsbooks adjust lines to balance action and manage liability, while prediction markets aggregate decentralized beliefs about triple-double outcomes. Comparing the two can reveal whether professional bettors and casual traders view this San Antonio–Oklahoma City matchup differently. Prediction markets may offer sharper or more volatile pricing depending on trading volume and participant expertise.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the San Antonio at Oklahoma City triple doubles market is priced as a binary contract reflecting the probability traders assign to the specified triple-double outcome. Prices range from 0 to 100 cents, where each cent represents a one-percent probability. As traders buy and sell contracts, the price adjusts to reflect changing expectations about player performance and game dynamics. Higher prices indicate stronger market confidence in the triple-double occurring.
The San Antonio at Oklahoma City: Triple Doubles market resolves on May 31, 2026. Resolution is determined by official game statistics recorded after the matchup concludes. The specific criteria for what constitutes a triple-double outcome—such as which players qualify, minimum thresholds, and data sources—are defined in the market's terms. Once the game ends and final stats are confirmed, the market settles based on whether the outcome condition has been met.
Key catalysts for price movement include player injury reports or roster changes affecting San Antonio or Oklahoma City, recent performance trends and assist rates, pre-game analyst commentary on player matchups, and betting action from sharp traders. Game-day factors such as starting lineups, early-game performance, and foul trouble can also shift market odds significantly. Trading volume spikes often occur around tip-off and during critical moments, reflecting new information and shifting trader conviction about triple-double likelihood.