| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Villanova wins the 1H by over 14.5 points | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| DePaul wins the 1H by over 10.5 points | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Villanova wins the 1H by over 17.5 points | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| DePaul wins the 1H by over 13.5 points | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| DePaul wins the 1H by over 4.5 points | 0% | 16¢ | 37¢ | — | $0 | Trade → |
| Villanova wins the 1H by over 2.5 points | 0% | 41¢ | 46¢ | — | $0 | Trade → |
| Villanova wins the 1H by over 11.5 points | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Villanova wins the 1H by over 5.5 points | 0% | 14¢ | 38¢ | — | $0 | Trade → |
| DePaul wins the 1H by over 7.5 points | 0% | 5¢ | 26¢ | — | $0 | Trade → |
| DePaul wins the 1H by over 1.5 points | 0% | 26¢ | 50¢ | — | $0 | Trade → |
| Villanova wins the 1H by over 8.5 points | 0% | 7¢ | 28¢ | — | $0 | Trade → |
This market asks which first-half point-spread outcome will occur between Villanova and DePaul. First-half spread markets matter because they isolate the opening 20 minutes of play, offering a different risk profile than full-game markets and rewarding knowledge of starters, pace, and early-game strategies.
Villanova and DePaul are long-time opponents with different program trajectories; Villanova has frequently been a top conference contender while DePaul has had more mixed results. First-half performance can diverge from full-game outcomes due to starting lineups, early-game tempo and coaching tendencies that emphasize fast openings or slow starts.
Prices in this market represent the collective market view of which predefined first-half margin bucket will occur; traders interpret those prices as the implied likelihood of each bucket. Because the market isolates the first half, emphasize information that affects the opening 20 minutes rather than full-game endurance or second-half adjustments.
It measures the point margin between the teams at halftime relative to the market's predefined outcome buckets; the market settles based on the actual halftime score and which bucket that margin falls into.
The market's close time is listed as TBD; regardless, the market will close before tip-off so no further trades can affect the outcome after the half has started—check the Kalshi platform for the exact close time once posted.
The market uses multiple discrete buckets to cover a range of possible halftime margins (for example, team A by large margin, team A by moderate margin, tie, team B by moderate margin, etc.), allowing traders to express views on specific ranges rather than a single binary result.
Starting-lineup changes and late injuries have outsized impact on first-half markets because they directly affect who will play the opening minutes; update assessments immediately when official starters are announced and consider matchup-specific consequences.
Yes—low volume implies lower liquidity and greater sensitivity to individual trades, so prices may be more volatile and less informative until more trading activity accumulates; monitor volume and open interest as the game approaches.