TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: May 29, 12:24 AM EST
Kalshi
This market tracks the outcome of the women's professional basketball game between Indiana and Golden State scheduled for May 28, 2026. On Kalshi, Golden State is priced at 92.0% to win, while Indiana stands at 8.0%. The market resolves based on the official result of the matchup as determined by the league. Watch for the final score when the teams take the court on May 28, 2026, to see which side prevails.
Prediction market odds on Kalshi often differ from traditional sportsbook lines because they reflect real-time trader positioning rather than bookmaker risk management. Sportsbooks adjust lines to balance action and lock in profit margins, while prediction markets aggregate decentralized belief. For Indiana vs Golden State, comparing Kalshi implied probabilities to major sportsbook spreads and moneylines can reveal where the crowd disagrees with oddsmakers. Prediction markets typically show sharper, more reactive pricing during breaking news or injury announcements, making them useful for spotting value gaps.
The Indiana vs Golden State market resolves on May 29, 2026. Resolution is determined by the official final score of the game. Once the matchup concludes and the winner is confirmed, the contract settles automatically. Traders holding shares in the winning outcome receive their payout, while losing positions expire worthless. The exact settlement timing depends on official league confirmation and platform processing, but typically occurs within hours of game completion.
Key catalysts for Indiana vs Golden State price movement include player injuries or roster changes, recent team performance trends, head-to-head matchup history, and lineup announcements closer to game day. Public betting action and sharp money flowing into one side can shift odds significantly. Media narratives around momentum, coaching decisions, or playoff seeding implications also influence trader sentiment. Real-time updates on player status, weather conditions if relevant, and any last-minute roster adjustments will likely trigger repricing on Kalshi as traders reassess win probability.