| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 140.5 points scored | 0% | 77¢ | 86¢ | — | $0 | Trade → |
| Over 143.5 points scored | 0% | 73¢ | 80¢ | — | $0 | Trade → |
| Over 149.5 points scored | 0% | 61¢ | 68¢ | — | $0 | Trade → |
| Over 146.5 points scored | 0% | 67¢ | 73¢ | — | $0 | Trade → |
| Over 170.5 points scored | 0% | 15¢ | 23¢ | — | $0 | Trade → |
| Over 164.5 points scored | 0% | 27¢ | 34¢ | — | $0 | Trade → |
| Over 161.5 points scored | 0% | 34¢ | 40¢ | — | $0 | Trade → |
| Over 155.5 points scored | 0% | 49¢ | 51¢ | — | $0 | Trade → |
| Over 152.5 points scored | 0% | 54¢ | 61¢ | — | $0 | Trade → |
| Over 158.5 points scored | 0% | 41¢ | 47¢ | — | $0 | Trade → |
| Over 167.5 points scored | 0% | 21¢ | 28¢ | — | $0 | Trade → |
This market lets traders forecast which total-points outcome will occur in the Tulsa at East Carolina college football game; totals markets focus on combined scoring rather than which team wins. Totals matter because they distill expectations about offenses, defenses, pace, and situational factors into tradable outcomes.
Tulsa and East Carolina are FBS programs with different offensive identities and recent coaching and roster developments that influence scoring profiles; season-to-date form, turnover rates, and tempo trends all help set expectations for this matchup. Head-to-head history and conference context can provide clues, but current-season injuries, playcaller tendencies, and special teams performance often drive how a particular game plays out.
Odds in this market represent the market’s collective view of which total-points range is most likely and will change as new information arrives (injuries, starting lineups, weather). Treat quoted prices as dynamic signals about perceived likelihoods and liquidity rather than fixed forecasts.
Markets of this type normally lock at the scheduled kickoff time for the game; because this listing currently shows the close as TBD, check the market page on KALSHI for the official lock time and platform-specific trading cutoffs.
The 11 outcomes correspond to discrete total-point buckets or price points that partition the range of possible combined scores; the market interface will show the exact ranges or labels for each outcome so you can see which scores fall into which bucket.
A change to a starting quarterback or loss of key skill players typically alters expected scoring — consider how the replacement’s tendencies, rushing ability, and turnover propensity affect drive length and scoring, and verify official injury reports and practice participation before trading.
Home-field factors—crowd noise, travel fatigue for the visiting team, and familiarity with the playing surface—can impact offensive efficiency, special teams play, and tempo, all of which influence the likely combined point total.
Whether overtime points are included depends on the market’s settlement rules; many organized markets specify whether totals include overtime, so consult the KALSHI market rules and the event description to confirm how this market will be settled.