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, 10:15 PM EST
Kalshi
A professional basketball game between two teams is scheduled for June 10, 2026. This event tracks the combined scoring output of both teams during the second quarter of regulation time.
Prediction market odds on Kalshi often diverge from traditional sportsbook lines because they reflect real-time crowd sentiment and continuous trading rather than fixed opening lines. Sportsbooks adjust for liability and hold, whereas prediction markets aggregate distributed beliefs with no intermediary margin. For the San Antonio vs New York second quarter, comparing Kalshi implied probability to major sportsbook totals can reveal whether the crowd expects higher or lower scoring than the book's consensus, signaling potential value.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the San Antonio vs New York: 2nd Quarter Total is priced as a binary or range contract reflecting the expected combined points scored in that quarter. The market price reflects the collective forecast of all traders; as new information emerges—injuries, lineup changes, or early-game momentum—the price adjusts continuously. Kalshi's order-matching engine ensures transparent price discovery, with each trade updating the implied probability visible to all participants.
The San Antonio vs New York: 2nd Quarter Total market resolves on Jun 11, 2026, following the completion of the second quarter in the scheduled game. The outcome is determined by the official final score reported for that quarter by the league and broadcast partners. Once the quarter concludes and the score is confirmed, the market settles based on whether the combined points fall within or outside the specified range or threshold, and all positions are paid out accordingly.
Key catalysts include confirmed player injuries or late roster changes affecting offensive firepower, early-game pace and shooting efficiency in the first quarter, halftime adjustments by either coach, and momentum swings that influence second-quarter tempo. Foul trouble for star players, bench unit performance, and defensive adjustments can all shift scoring expectations. Real-time game flow—fast breaks, three-point shooting, and turnover rates—will drive the most significant repricing as the market updates its forecast minute-by-minute during live play.