| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 159.5 points scored | 48% | 47¢ | 48¢ | — | $39K | Trade → |
| Over 165.5 points scored | 33% | 33¢ | 37¢ | — | $267 | Trade → |
| Over 156.5 points scored | 55% | 54¢ | 57¢ | — | $174 | Trade → |
| Over 150.5 points scored | 68% | 67¢ | 72¢ | — | $72 | Trade → |
| Over 168.5 points scored | 31% | 27¢ | 31¢ | — | $66 | Trade → |
| Over 153.5 points scored | 64% | 60¢ | 64¢ | — | $16 | Trade → |
| Over 162.5 points scored | 41% | 40¢ | 43¢ | — | $5 | Trade → |
| Over 144.5 points scored | 0% | 77¢ | 83¢ | — | $0 | Trade → |
| Over 174.5 points scored | 0% | 15¢ | 21¢ | — | $0 | Trade → |
| Over 147.5 points scored | 0% | 73¢ | 78¢ | — | $0 | Trade → |
| Over 171.5 points scored | 0% | 21¢ | 26¢ | — | $0 | Trade → |
This market asks which total-points range the combined final score of Texas Tech vs BYU will fall into. It matters because total-points markets let traders express views on game tempo, scoring efficiency, and game conditions rather than just the winner.
Texas Tech and BYU are programs with distinct styles of play and recent histories that can influence scoring: matchups between them highlight contrasts in pace, shooting, and defensive approach. Historical scoring trends for each team, along with venue and roster notes, provide context that traders use when assessing likely game totals.
Market prices represent the collective expectation for which points-range outcome will be realized and will move as new information arrives. They are not guarantees—prices update with injury news, lineup changes, weather, and other developments that affect scoring.
It refers to the sum of both teams' final scores in the official game result; the market offers multiple outcome ranges and settles on the one that contains that combined total.
Settlement follows the official final game score as recorded by the sport's governing box score; unless the market rules specify otherwise, any points scored in overtime are included.
Prices can shift on new information that affects scoring expectations—examples include starter injuries, announced rotations, weather or travel disruptions, late coaching strategy reports, or significant betting flow that reflects fresh opinions.
Loss or return of a primary scorer typically lowers or raises the expected total respectively; changes to key defenders or ball-handlers can alter tempo and efficiency assumptions used by traders.
Multiple outcome buckets break the scoring range into finer intervals so traders can express nuanced views about likely totals; choose the bucket that best matches your assessment of pace, efficiency, and game conditions while considering how news could move the market.