| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 147.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 153.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 171.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 144.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 156.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 159.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 168.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 150.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 174.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 162.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 165.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 142.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This prediction market asks traders to forecast the combined total points scored in the Texas at BYU game across multiple outcome ranges. It matters because total-points markets aggregate expectations about pace, offensive/defensive performance, and game conditions that drive scoring.
Texas and BYU are college football programs with distinct styles and fan interest; matchups between them attract attention because differences in conference alignment, coaching philosophies, and roster composition can produce varied scoring outcomes. Historical meetings, recent offensive and defensive trends, and each team's current roster and coaching situation inform expectations but do not determine a single result. The multi-outcome format allows traders to express beliefs about low-, moderate-, or high-scoring game scenarios.
Odds in this market reflect the market's consensus about which total-points range is considered most likely at a given time; prices move as participants react to new information like injuries, weather, or game-day news. Use movements in the market to track changing expectations rather than as definitive predictions.
Each outcome corresponds to a specific bracket or range of combined points scored in the game, from lower to higher totals; the market page lists the exact ranges and how the market will be settled.
Settlement rules for overtime are specified on the KALSHI event page; some total-points markets include overtime in the final total while others exclude it, so check the market's settlement notes before trading.
The event currently lists a closing time as TBD; the platform will publish the definitive close time on the market page—trading typically ends before the official game start and the exact timestamp will be shown there.
Useful indicators include both teams' recent points per game, yards per play, offensive tempo (plays per game), red-zone efficiency, turnover margin, and kicker reliability; combine these with matchup-specific scouting and injury information.
Late news can materially shift expected totals; traders often wait for confirmed reports before taking large positions or scale exposure to manage uncertainty. Monitor official team reports, credible injury updates, and how the market price reacts to incorporate the information systematically.