TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: May 28, 10:34 PM EST
Kalshi
This market on Kalshi tracks whether Victor Wembanyama will record at least 4 assists in the Oklahoma City versus San Antonio matchup. The leading outcome, Wembanyama achieving 4+ assists, currently stands at 98.0% probability. Resolution will be determined by official box score data from the game scheduled for May 28, 2026. Watch Wembanyama's assist distribution during the May 28, 2026 contest to see whether he reaches the 4-assist threshold.
Prediction market odds on Kalshi often diverge from traditional sportsbook lines because they reflect real-time trader consensus rather than fixed bookmaker pricing. Sportsbooks adjust lines to manage liability and balance action, while prediction markets update continuously as new information emerges. For the Oklahoma City at San Antonio assists market, comparing Kalshi implied probabilities to major sportsbook spreads and totals can reveal whether the crowd is pricing player performance differently than oddsmakers. Traders often exploit these gaps before the game begins.
The Oklahoma City at San Antonio: Assists market resolves on May 29, 2026. Resolution is determined by the official final assist total recorded for the specified player in the completed game. The market settles based on box score data from the NBA, ensuring accuracy and eliminating ambiguity. Once the game concludes and official statistics are published, contracts paying out to correct predictions are credited immediately, while incorrect positions expire worthless.
Key catalysts include injury reports or roster changes affecting the named player's availability and role. Lineup adjustments, coaching decisions about minutes, and recent performance trends in assists production all influence market prices. Pre-game commentary from analysts, team news, and betting action from sharp traders can shift odds rapidly. Game-day factors like opponent defensive schemes, pace of play, and foul trouble also drive repricing. Real-time updates during warm-ups and early game action may trigger final adjustments before markets lock at tip-off.