| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Georgetown wins the 1H by over 8.5 points | 0% | 6¢ | 28¢ | — | $0 | Trade → |
| Georgetown wins the 1H by over 14.5 points | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| DePaul wins the 1H by over 13.5 points | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Georgetown wins the 1H by over 11.5 points | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| DePaul wins the 1H by over 1.5 points | 0% | 32¢ | 56¢ | — | $0 | Trade → |
| DePaul wins the 1H by over 16.5 points | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Georgetown wins the 1H by over 5.5 points | 0% | 12¢ | 33¢ | — | $0 | Trade → |
| DePaul wins the 1H by over 4.5 points | 0% | 18¢ | 43¢ | — | $0 | Trade → |
| DePaul wins the 1H by over 7.5 points | 0% | 9¢ | 30¢ | — | $0 | Trade → |
| Georgetown wins the 1H by over 2.5 points | 0% | 24¢ | 46¢ | — | $0 | Trade → |
| DePaul wins the 1H by over 10.5 points | 0% | 0¢ | 99¢ | — | $0 | Trade → |
This market asks which point-differential range will describe the score at halftime of the Georgetown vs DePaul game (the first-half spread). It matters because first-half outcomes reflect starting lineups, opening game plans, and in-game news that can differ from full-game expectations.
Georgetown and DePaul meet as conference opponents with a history of varied first-half dynamics driven by matchups between their starting units and coaching approaches. First-half spreads often move differently than full-game lines because teams use different rotations and strategies early on. Traders watching this market typically focus on pregame news and historical first-half tendencies rather than full-game form alone.
Market prices indicate the consensus view of traders about which point-differential range is most likely at halftime and will update as new information (lineups, injuries, scratches) arrives. Treat price movement as an information signal, not a guarantee—check official market rules and resolution criteria for specifics.
The market is resolved across mutually exclusive outcomes representing ranges of the first-half point differential (e.g., Georgetown leads by a given range, a tie range, or DePaul leads by a given range); consult the market page for the exact named ranges and resolution rules.
The close time is listed as TBD on this page; in practice these markets typically close at or shortly before tip-off or when lineups are locked—check the KALSHI market page for the platform's official close and any real-time updates.
Announced starting point guards and primary scorers, any absence of a starting big man, and last-minute scratches or rest declarations are the most impactful items to watch because they directly change early matchups and substitution patterns.
Rapid moves usually follow new, verifiable information such as official lineup releases or injury reports; check trade volume and timing—late, high-conviction moves often reflect confirmed news rather than opinion.
Look at recent head-to-head first-half tendencies and each team's typical opening-quarter pace and defensive focus—some matchups consistently start slow and low-scoring while others open fast, and those trends help frame expectations for the spread.