| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Syracuse wins by over 6.5 Points | 51% | 48¢ | 51¢ | — | $3 | Trade → |
| Pittsburgh wins by over 6.5 Points | 19% | 12¢ | 19¢ | — | $1 | Trade → |
| Pittsburgh wins by over 21.5 Points | 0% | 3¢ | 5¢ | — | $0 | Trade → |
| Pittsburgh wins by over 3.5 Points | 0% | 20¢ | 26¢ | — | $0 | Trade → |
| Pittsburgh wins by over 15.5 Points | 0% | 3¢ | 7¢ | — | $0 | Trade → |
| Pittsburgh wins by over 18.5 Points | 0% | 3¢ | 6¢ | — | $0 | Trade → |
| Syracuse wins by over 9.5 Points | 0% | 36¢ | 42¢ | — | $0 | Trade → |
| Pittsburgh wins by over 9.5 Points | 0% | 6¢ | 14¢ | — | $0 | Trade → |
| Syracuse wins by over 3.5 Points | 0% | 57¢ | 63¢ | — | $0 | Trade → |
| Pittsburgh wins by over 12.5 Points | 0% | 3¢ | 10¢ | — | $0 | Trade → |
This market asks which point-spread range will apply to the Pittsburgh at Syracuse matchup; it matters because spread outcomes summarize market expectations about the game’s likely margin and drive trading decisions for bettors and traders.
The market reflects a head-to-head meeting between Pittsburgh and Syracuse; both are college programs with changing rosters and coaching staffs that can alter matchup dynamics year to year. Historical rivalry, recent form, and situational factors such as travel and home-court/crowd effects commonly shape expectations for this kind of intercollegiate matchup.
Market odds express the collective view of traders about which spread bucket is most likely; shifts in those odds indicate how new information (injuries, lineups, weather, betting flow) changes expectations, but they do not guarantee the final margin.
The official close time is listed as TBD on the platform; check KALSHI for updates. Many spread markets close shortly before kickoff, but platform rules determine the exact cutoff, so verify the market page for final details.
The winning outcome is determined by the official final margin of the game as recorded by the data source specified in the market rules; that margin is mapped to the market’s predefined spread buckets to identify the settling outcome. Consult the market’s settlement rules to confirm whether overtime is included.
Major items include a last-minute injury or status report, confirmed starting lineups, significant roster availability news, severe weather alerts (if the game is outdoors), and large incoming bets or shifts in sportsbook lines that traders use as reference.
Playing at Syracuse typically confers home advantage through crowd support and familiarity with the venue, which can shift expectations toward Syracuse; the magnitude of that effect depends on each team’s travel burden, recent home/away performance, and matchup specifics.
Historical head-to-head and against-the-spread (ATS) trends provide context about matchup tendencies, but they should be combined with current-season data (roster changes, injuries, coaching) because team composition and performance can change substantially from year to year.