| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Texas wins by over 8.5 Points | 46% | 43¢ | 46¢ | — | $934 | Trade → |
| Texas wins by over 5.5 Points | 59% | 55¢ | 59¢ | — | $450 | Trade → |
| Oklahoma wins by over 19.5 Points | 6% | 1¢ | 5¢ | — | $220 | Trade → |
| Oklahoma wins by over 22.5 Points | 3% | 1¢ | 5¢ | — | $50 | Trade → |
| Oklahoma wins by over 4.5 Points | 0% | 14¢ | 22¢ | — | $0 | Trade → |
| Texas wins by over 2.5 Points | 0% | 64¢ | 70¢ | — | $0 | Trade → |
| Oklahoma wins by over 16.5 Points | 0% | 3¢ | 6¢ | — | $0 | Trade → |
| Oklahoma wins by over 13.5 Points | 0% | 3¢ | 6¢ | — | $0 | Trade → |
| Oklahoma wins by over 7.5 Points | 0% | 8¢ | 15¢ | — | $0 | Trade → |
| Oklahoma wins by over 1.5 Points | 0% | 22¢ | 29¢ | — | $0 | Trade → |
| Oklahoma wins by over 10.5 Points | 0% | 3¢ | 9¢ | — | $0 | Trade → |
This market asks how the point spread will resolve in the Oklahoma at Texas game; it matters because it aggregates trader expectations about the likely margin and responds quickly to game‑relevant news. Traders and fans use it to gauge market consensus on who will cover the spread on game day.
Oklahoma vs. Texas is a high‑profile rivalry with implications for conference standings and recruiting narratives; historical matchups and recent program trajectories shape pregame expectations. Season form, coaching changes, and roster availability entering this matchup create a dynamic context that can shift market prices as new information arrives.
Market prices reflect the crowd’s collective assessment of which spread outcome is most likely and will move as injuries, lineup decisions, weather, or betting flow change. Interpreting prices means tracking how the market reacts to late information rather than treating a single quote as definitive.
The event lists its close time as TBD; check the KALSHI interface for the official close. If a market closes near kickoff, expect higher volatility — manage positions early if you want to avoid last‑minute news and lineup changes.
The multiple outcomes represent different spread brackets or cover/no‑cover scenarios for this specific game. Settlement is based on the official final score as defined by the exchange’s rules (see KALSHI’s settlement policies) and the outcome that matches the final margin is paid.
A starting QB injury typically moves the market materially because it alters team scoring expectations and playcalling. The timing matters: early news gives participants time to reprice, while last‑minute announcements often create rapid swings and wider bid‑ask spreads.
Head‑to‑head history is one input traders use to assess matchup tendencies, but market pricing focuses more on current season form, injuries, and roster composition. Historical trends matter most when they reveal persistent matchup advantages (e.g., scheme mismatches) that remain relevant today.
Settlement follows KALSHI’s published rules: typically the official final score (including overtime) is used to determine the spread outcome; if a game is postponed or canceled, the exchange’s cancellation/void policy applies. Always consult the platform’s event rules for definitive guidance.