| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 144.5 points scored | 89% | 61¢ | 64¢ | — | $7K | Trade → |
| Over 150.5 points scored | 45% | 45¢ | 48¢ | — | $1K | Trade → |
| Over 159.5 points scored | 29% | 24¢ | 30¢ | — | $103 | Trade → |
| Over 153.5 points scored | 43% | 37¢ | 41¢ | — | $10 | Trade → |
| Over 147.5 points scored | 51% | 53¢ | 57¢ | — | $5 | Trade → |
| Over 135.5 points scored | 75% | 76¢ | 83¢ | — | $1 | Trade → |
| Over 138.5 points scored | 0% | 71¢ | 77¢ | — | $0 | Trade → |
| Over 141.5 points scored | 0% | 65¢ | 70¢ | — | $0 | Trade → |
| Over 156.5 points scored | 0% | 30¢ | 34¢ | — | $0 | Trade → |
| Over 162.5 points scored | 0% | 18¢ | 26¢ | — | $0 | Trade → |
| Over 165.5 points scored | 0% | 14¢ | 20¢ | — | $0 | Trade → |
| Over 133.5 points scored | 0% | 80¢ | 87¢ | — | $0 | Trade → |
This market lets traders speculate on the combined total points scored in the South Carolina at Oklahoma game. It matters because total points markets distill expectations about offense, defense, tempo, and game circumstances into a single, tradable outcome.
This interconference matchup pits South Carolina's SEC experience against Oklahoma's offensive pedigree, creating an interesting contrast in styles and strengths. Historical matchups, recent form, coaching philosophies, and roster turnover (especially at quarterback and skill positions) all shape expectations for scoring in a given game.
Market prices reflect collective expectations about how many points will be scored and will move as new information arrives (injuries, weather, lineup news, betting flow). Traders use those prices to express views about whether the game will produce more or fewer points than other participants expect.
The listed close is TBD; check the KALSHI market page for the specific close time. Many markets close at or just before kickoff, but always confirm the platform's stated deadline.
Settlement policy for overtime is set by KALSHI in the event description or rulebook. Some total-points markets include overtime scoring in the final total and others do not, so verify the market's settlement rules before trading.
In-game shifts often come from injury reports to starters (especially QBs), surprise lineup changes, momentum swings that affect pace, major turnovers, and late-game scoring events announced during play.
Use recent per-game scoring and defensive allowance trends as a baseline, but adjust for opponent quality, location (home/away), coaching changes, and any roster moves that materially changed either team's offensive or defensive profile.
Special teams can swing totals via long returns, blocked kicks, or short punts that change scoring probability; consistent starting field position affects drive length and frequency, which in turn alters total scoring potential.