TOTAL VOLUME:
$134b
24H VOL:
$103,397,351
24H TRANSACTIONS:
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 5, 11:00 PM EST
Kalshi
A professional basketball game between New York and San Antonio scheduled for June 5, 2026, where players from both teams compete for rebounds. The event monitors whether individual players reach various rebound milestones during the contest.
Prediction market odds on Kalshi often diverge from traditional sportsbook lines because they reflect real-time trader sentiment rather than bookmaker risk management. Sportsbooks adjust odds to balance action and lock in profit margins, while prediction markets aggregate beliefs from many independent traders with direct financial incentive to forecast accurately. For the New York at San Antonio rebounds market, comparing Kalshi implied probabilities to major sportsbook spreads and totals can reveal whether the crowd is pricing rebounds more bullishly or bearishly than Vegas. These differences highlight unique insights available only from decentralized prediction venues.
The New York at San Antonio: Rebounds market resolves on Jun 6, 2026. Resolution is determined by official game statistics recorded at the conclusion of the contest. Each outcome—such as Victor Wembanyama: 10+ rebounds—will be settled based on verified box score data. Once the game ends and final statistics are confirmed, Kalshi will automatically resolve all shares to either one dollar (if the outcome occurred) or zero dollars (if it did not). Traders can then withdraw their winnings or losses immediately after settlement.
Several catalysts could shift New York at San Antonio rebounds odds before Jun 6, 2026. Injury reports or roster changes affecting key players like Victor Wembanyama will directly impact rebound expectations. Pre-game analysis, expert predictions, and team form leading up to tipoff often trigger price movement as traders incorporate new information. Game-day factors—such as official starting lineups, weather, or venue conditions—can also influence odds in the final hours. Real-time game flow, foul trouble, and momentum swings during the contest itself will drive the most dramatic price changes as traders update their forecasts based on live action.