| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Colorado wins the 1H by over 2.5 points | 47% | 41¢ | 47¢ | — | $102 | Trade → |
| Colorado wins the 1H by over 14.5 points | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Colorado wins the 1H by over 5.5 points | 0% | 16¢ | 39¢ | — | $0 | Trade → |
| Oklahoma St. wins the 1H by over 4.5 points | 0% | 15¢ | 37¢ | — | $0 | Trade → |
| Oklahoma St. wins the 1H by over 7.5 points | 0% | 9¢ | 26¢ | — | $0 | Trade → |
| Oklahoma St. wins the 1H by over 10.5 points | 0% | 1¢ | 98¢ | — | $0 | Trade → |
| Colorado wins the 1H by over 11.5 points | 0% | 1¢ | 98¢ | — | $0 | Trade → |
| Oklahoma St. wins the 1H by over 13.5 points | 0% | 0¢ | 53¢ | — | $0 | Trade → |
| Colorado wins the 1H by over 17.5 points | 0% | 0¢ | 53¢ | — | $0 | Trade → |
| Oklahoma St. wins the 1H by over 1.5 points | 0% | 28¢ | 49¢ | — | $0 | Trade → |
| Colorado wins the 1H by over 8.5 points | 0% | 8¢ | 28¢ | — | $0 | Trade → |
This market lets traders express expectations for the first-half point spread between Oklahoma State and Colorado, focusing on which team will lead and by how many points at halftime. It matters for participants who want to trade or hedge around early-game dynamics rather than full-game outcomes.
First-half spread markets isolate the opening 20 minutes (basketball) or 30 minutes (football) of a matchup, so pregame preparation, starting lineups, and early-game strategy matter more than later adjustments. Historical matchups, team styles (tempo, turnover rates, defensive aggression), and situational factors like travel or weather can all shape first-half outcomes. Because rosters and coaching staffs change season to season, historical signals should be weighted by recency and relevance.
Market prices represent the crowd’s aggregated view of the likely first-half margin; rising or falling prices reflect new information being incorporated. Use prices as one input alongside game-specific scouting, injuries, and matchup analysis rather than a single source of truth.
The market resolves using the official halftime score reported by the game’s league or authorized provider; outcomes are determined by the point margin at that official halftime moment, according to the platform’s resolution rules.
Multiple outcomes correspond to discrete spread buckets (ranges of halftime margins) that let traders express beliefs about both which team leads and by how much; the number of buckets is set by the market designer to cover plausible first-half margins.
Late availability or scratches materially change first-half expectations because starters determine early rotations and matchup dynamics; traders generally adjust positions quickly when credible injury or lineup news appears, so incorporate official reports and expected replacement roles.
Past first-half margins provide context on historical tendencies, but their predictive value depends on recency, roster continuity, and whether the matchups occurred under similar conditions; treat them as one input and account for small sample sizes.
The platform sets the market close (listed as TBD for this event); markets typically close at a fixed pregame cutoff or just before kickoff/tipoff, and knowing the close time matters because liquidity and price discovery concentrate before that deadline.