| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 129.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 126.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 135.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 141.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 123.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 150.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 138.5 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 132.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 147.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 153.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how many total points will be scored in the Oklahoma St. at UCLA game by offering multiple mutually exclusive scoring-range outcomes; it matters because total points aggregate both teams' offensive and defensive dynamics into a single tradable view.
Oklahoma State and UCLA are two major-college programs whose matchup outcome for total scoring depends on their recent form, injuries, styles of play, and travel/venue effects; these teams do not meet every season, so direct head-to-head history may be limited. The market listed on KALSHI divides the possible game totals into many discrete outcomes (11 outcomes) and currently shows a close time of TBD, so timing and settlement specifics should be checked on the platform.
Market prices indicate how participants are allocating capital across different total-point ranges and can be read as the crowd’s consensus about likely scoring outcomes; use prices comparatively to see which ranges the market favors rather than as a single definitive forecast.
The market separates the universe of possible final game totals into 11 mutually exclusive buckets (ranges or exact totals as specified on the market page); only the bucket that contains the official final total wins at settlement.
The listing shows a close time of TBD; on most platforms the market typically closes at or just before game start and settles using the official final score (including overtime if the market description says so), so check the market page for the precise close and settlement rules.
Whether overtime counts depends on the market’s settlement rules on the platform; many total-point markets include overtime in the final total but you should confirm the specific settlement criteria on the KALSHI market description.
Look at each team’s scoring and points-allowed per possession, tempo/pacesetting metrics, red-zone or three-point frequency (sport-dependent), turnover rates, and recent performance against similar opponents, plus any matchup edges in personnel or coaching tendencies.
Late injuries or lineup changes to key scorers, quarterbacks, or primary defenders can materially shift expected totals and therefore market prices; markets often react quickly to confirmed news, so monitor official team reports and the market feed in real time.