| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 164.5 points scored | 49% | 49¢ | 50¢ | — | $58K | Trade → |
| Over 161.5 points scored | 57% | 56¢ | 57¢ | — | $8K | Trade → |
| Over 155.5 points scored | 70% | 67¢ | 70¢ | — | $3K | Trade → |
| Over 167.5 points scored | 40% | 40¢ | 43¢ | — | $2K | Trade → |
| Over 158.5 points scored | 65% | 64¢ | 65¢ | — | $1K | Trade → |
| Over 152.5 points scored | 77% | 74¢ | 77¢ | — | $406 | Trade → |
| Over 147.5 points scored | 85% | 83¢ | 85¢ | — | $372 | Trade → |
| Over 170.5 points scored | 34% | 33¢ | 37¢ | — | $219 | Trade → |
| Over 173.5 points scored | 27% | 28¢ | 31¢ | — | $134 | Trade → |
| Over 179.5 points scored | 21% | 16¢ | 19¢ | — | $24 | Trade → |
| Over 182.5 points scored | 8% | 11¢ | 14¢ | — | $23 | Trade → |
| Over 176.5 points scored | 27% | 22¢ | 25¢ | — | $2 | Trade → |
| Over 149.5 points scored | 0% | 75¢ | 82¢ | — | $0 | Trade → |
This market asks how many total points will be scored in the Oklahoma St. at Colorado game and groups outcomes into discrete total-point ranges. It matters because total points markets let traders express views about pace, offense versus defense, and game conditions without predicting the winner.
Oklahoma State and Colorado come from Power Five conferences with differing offensive identities: Oklahoma State has recently been associated with high-tempo scoring attacks while Colorado’s home games in Boulder have unique environmental factors. Historical head-to-heads and each team’s seasonal scoring and defensive trends provide useful context, but personnel changes, injuries, and coaching strategy can shift expected scoring from week to week.
Market odds reflect the collective assessment of which total-point range is most likely given available information; they update as new data (injuries, weather, lineup announcements, betting flow) arrives. Use the market as a dynamic indicator of market consensus, not an immutable forecast.
Each of the 12 outcomes corresponds to a specific total-point range or bucket for the combined score of both teams; consult the market page on KALSHI to see the exact numeric ranges for each outcome before trading.
'Closes: TBD' means a definitive market closure time hasn’t been posted yet; markets for game totals commonly close at or shortly before kickoff, and settlement will occur after the official final score is posted—monitor the market page for the announced close time.
Boulder’s altitude can influence player conditioning and the ball’s carry on kicks and passes; while it doesn’t deterministically increase or decrease scoring, visiting teams unfamiliar with the conditions may show different stamina or efficiency, which is one factor to weigh alongside matchup data.
Injury or absence of a starting quarterback, a leading rusher/receiver, or a key defensive playmaker (edge rusher, defensive back) tends to have the largest impact on expected scoring; last-minute lineup confirmations are particularly market-moving.
Use head-to-head and recent season scoring trends as contextual inputs to identify tendencies (e.g., high-scoring matchups or defensive struggles), but weigh them against current-season form, roster changes, and game-specific factors since team composition and coaching strategies change over time.