TOTAL VOLUME:
$134b
24H VOL:
$103,397,351
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2,388,728,490
OPEN INTEREST:
$1,410,176,180
399,592
Markets across
30,097
events
MATCHED EVENTS:
2,622
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 8, 11:25 PM EST
Kalshi
This market on Kalshi tracks whether the combined score in the San Antonio at New York professional basketball game will exceed 216.5 points. The leading outcome currently stands at 99.0% probability. Resolution is determined by the official final score as reported by the league, with the game scheduled for June 8, 2026. Watch for the final combined point total when the game concludes on June 8, 2026, which will determine whether the threshold is surpassed.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the Game 3 San Antonio at New York total points contract is priced between 0 and 100 cents, where each cent represents a one-percentage-point probability. Traders buy or sell shares based on their belief about whether the final combined score will exceed or fall short of the specified threshold. The market price continuously adjusts as new orders flow in, reflecting the collective forecast of all active participants. Higher prices indicate stronger trader conviction that the over will hit; lower prices suggest the under is more likely.
The market resolves on Jun 9, 2026. Resolution is determined by the official final score of Game 3 between San Antonio and New York. The combined total points scored by both teams at the end of regulation will be compared to the threshold specified in the contract terms. Once the game concludes and the official score is confirmed, the market will settle based on whether the actual total clears the strike price, and traders' positions will be paid out accordingly.
Key catalysts include confirmed roster changes, injury announcements affecting star players, and recent team performance trends. Pace-of-play adjustments, defensive matchup analysis, and coaching strategy shifts can also influence total-points expectations. Weather conditions (if relevant), referee crew assignments, and back-to-back game fatigue may sway trader positioning. Breaking news about player availability or team morale closer to tipoff often triggers sharp repricing. Additionally, early-game momentum and actual scoring pace during the first half can prompt mid-game adjustments as traders update their forecasts based on live action.