| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 144.5 points scored | 53% | 50¢ | 53¢ | — | $3K | Trade → |
| Over 141.5 points scored | 61% | 56¢ | 61¢ | — | $321 | Trade → |
| Over 150.5 points scored | 38% | 33¢ | 37¢ | — | $125 | Trade → |
| Over 138.5 points scored | 0% | 64¢ | 68¢ | — | $0 | Trade → |
| Over 153.5 points scored | 0% | 27¢ | 31¢ | — | $0 | Trade → |
| Over 135.5 points scored | 0% | 69¢ | 74¢ | — | $0 | Trade → |
| Over 132.5 points scored | 0% | 73¢ | 80¢ | — | $0 | Trade → |
| Over 156.5 points scored | 0% | 20¢ | 26¢ | — | $0 | Trade → |
| Over 159.5 points scored | 0% | 14¢ | 21¢ | — | $0 | Trade → |
| Over 129.5 points scored | 0% | 78¢ | 85¢ | — | $0 | Trade → |
| Over 147.5 points scored | 0% | 41¢ | 46¢ | — | $0 | Trade → |
This market asks which total combined points range the college basketball game between Seton Hall and Xavier will fall into; it’s useful for traders and fans who want to express a view on game scoring rather than on a team to win. Market prices aggregate information about injuries, lineups, and other news that affect expected scoring.
Seton Hall at Xavier is a Big East conference matchup with stylistic implications for scoring—Xavier often controls pace at home while Seton Hall’s offensive and defensive profiles vary by lineup. The market currently lists 11 discrete outcomes and has traded $3,358 in volume; the platform shows the official close time on the event page (Closes: TBD).
Interpret prices as the market’s current consensus about which total-point bucket is most likely, with price movement reflecting new information (injuries, starting lineups, tempo). Also consider liquidity and volume when judging how strongly the market supports a particular outcome.
Close time is shown on the event page (listed as TBD until the platform updates). Settlement follows the contract terms on the platform—check the contract page for the official settlement trigger and whether the final official box score or another source is used.
Each outcome corresponds to a discrete total-points bucket or exact-total label defined on the event page; view the outcome labels on Kalshi to see the exact ranges or totals that determine which outcome wins at settlement.
That depends on the contract’s settlement rules. Many total-points markets use the official final combined score (which includes overtime), but you should confirm on the event contract page to know how this specific market treats overtime.
Pre-game injury reports and announced starters, late scratches, in-game momentum shifts, unexpected foul trouble to key players, and announced lineup or tempo strategy changes are the most common drivers of price movement.
Use recent head-to-head and season pace/efficiency trends as context, but adjust for current conditions—home/away status, recent form, roster availability, and sample size. Historical trends can inform expectations but are less reliable than up-to-date team health and lineup information.