| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Saint Louis wins by over 8.5 Points | 43% | 43¢ | 45¢ | — | $84 | Trade → |
| George Mason wins by over 10.5 Points | 3% | 3¢ | 11¢ | — | $4 | Trade → |
| George Mason wins by over 13.5 Points | 0% | 3¢ | 7¢ | — | $0 | Trade → |
| George Mason wins by over 7.5 Points | 0% | 9¢ | 16¢ | — | $0 | Trade → |
| Saint Louis wins by over 2.5 Points | 0% | 63¢ | 69¢ | — | $0 | Trade → |
| George Mason wins by over 16.5 Points | 0% | 3¢ | 6¢ | — | $0 | Trade → |
| George Mason wins by over 1.5 Points | 0% | 24¢ | 29¢ | — | $0 | Trade → |
| George Mason wins by over 19.5 Points | 0% | 3¢ | 6¢ | — | $0 | Trade → |
| George Mason wins by over 4.5 Points | 0% | 15¢ | 22¢ | — | $0 | Trade → |
| George Mason wins by over 22.5 Points | 0% | 3¢ | 6¢ | — | $0 | Trade → |
| Saint Louis wins by over 5.5 Points | 0% | 55¢ | 57¢ | — | $0 | Trade → |
This market lets traders express expectations about the point-spread outcome for the college basketball game Saint Louis at George Mason. It matters because the market aggregates information about team strength, injuries, and other factors that influence which team will cover the spread at game time.
Saint Louis and George Mason are NCAA basketball programs meeting with a home-court dynamic in favor of George Mason for this listing. Historical matchups, recent season performance, and roster availability all shape pregame expectations; the market provides a way to trade on that collective judgment. The market lists multiple discrete spread outcomes, giving participants granular ways to express views on the final margin.
Market prices reflect the trading community’s consensus about which spread outcome is most likely and adjust as new information arrives. Price movement toward an outcome signals shifting sentiment, while low liquidity can cause larger swings for the same news.
This listing offers 11 discrete spread outcomes, each representing a specific range of final point differentials; a given outcome pays if the official final margin falls into that outcome’s range.
The platform will set the market close time before the game; settlement will be based on the official final score reported by the game host (including any overtime unless the market specifies otherwise). Check the KALSHI event page for the announced close time.
Late changes typically shift trader expectations and can move prices quickly; because spread markets are sensitive to small changes in expected scoring margin, news about starters or key rotations is often reflected promptly in the market.
Unless the market rules specify otherwise, settlement uses the official final score as recorded by the game’s governing body, which includes overtime periods in basketball.
Relatively low volume indicates limited liquidity, which can lead to wider spreads between buy and sell prices and larger price moves on modest bets; the multiple outcomes provide more granular choices but can also thinly split liquidity across options, so manage position size and consider execution risk.