TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 10, 11:37 PM EST
Kalshi
This market tracks whether the second half of regulation play in the San Antonio versus New York professional basketball game ends in a tie. On Kalshi, the probability that the second half resolves to a tie stands at 91.0%, while a non-tie result is at 7.0%. Resolution is determined by the official result of the second half (excluding overtime) of regulation time in the game originally scheduled for June 10, 2026. Watch for the completion of the second half of regulation on June 10, 2026, which will determine the final market outcome.
On Kalshi, the San Antonio vs New York: Second Half Winner market is priced as a binary contract reflecting the probability each team wins the second half. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders buy and sell shares at prices between 0 and 100 cents, with the implied probability derived from the current market price. Liquidity and order flow determine how quickly prices adjust to new information, such as player injuries, momentum shifts, or halftime adjustments announced before the second half begins.
The San Antonio vs New York: Second Half Winner market resolves at Jun 11, 2026. Resolution is determined by which team scores more points during the second half of the game. The outcome is final once the game clock reaches zero at the end of the fourth quarter, and official final statistics are confirmed. Any overtime periods are included as part of the second half for resolution purposes.
Key catalysts for price movement include halftime adjustments, coaching decisions, and player performance in the first half. Injuries announced at halftime, foul trouble affecting star players, and momentum swings can shift trader expectations significantly. Team shooting efficiency, defensive adjustments, and turnover rates observed in the first half often influence second-half predictions. Breaking news about roster changes or unexpected player absences immediately before tipoff will also impact market odds as traders reassess probabilities.