TOTAL VOLUME:
$134b
24H VOL:
$87,997,338
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,395,155,069
395,664
Markets across
30,076
events
MATCHED EVENTS:
2,626
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 5, 11:40 PM EST
Kalshi
A professional basketball game between two teams is played, with a focus on whether the contest extends into overtime.
Prediction market odds on Kalshi reflect real-money trader consensus and often differ from traditional sportsbook lines. Sportsbooks set odds to balance action and lock in profit margins, while prediction markets aggregate genuine belief from participants with direct financial stakes. For the New York vs San Antonio: Overtime event, comparing Kalshi odds to major sportsbooks can reveal where sharp traders and casual bettors diverge on overtime probability, highlighting potential value or consensus shifts.
On Kalshi, the New York vs San Antonio: Overtime contract is priced as a binary outcome: either overtime occurs or it does not. 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, where the price directly represents the implied probability. As game conditions, injury reports, and betting action evolve, the price adjusts in real time. You can enter or exit positions at any time before market close on Jun 6, 2026, locking in gains or cutting losses based on your conviction.
The New York vs San Antonio: Overtime market resolves on Jun 6, 2026, after the game concludes. Resolution hinges on whether the contest reaches overtime or ends in regulation. The outcome is determined by the official final result recorded by the league. Traders should monitor the game clock and score in real time to anticipate resolution, since late-game momentum, fouls, and timeouts can all influence whether the game extends beyond the fourth quarter.
Several factors can shift odds for New York vs San Antonio: Overtime before Jun 6, 2026. Key player injuries or last-minute roster changes alter team strength and pace of play. Pre-game analysis and expert predictions influence trader sentiment. In-game momentum, foul trouble, and bench depth affect late-game execution and the likelihood of a tied score heading into overtime. Unexpected trades or coaching adjustments can also reshape how traders assess each team's ability to force or avoid extra time.