| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 163.5 points scored | 50% | 45¢ | 50¢ | — | $79 | Trade → |
| Over 154.5 points scored | 65% | 64¢ | 69¢ | — | $10 | Trade → |
| Over 160.5 points scored | 52% | 51¢ | 57¢ | — | $6 | Trade → |
| Over 157.5 points scored | 58% | 57¢ | 63¢ | — | $4 | Trade → |
| Over 175.5 points scored | 27% | 19¢ | 26¢ | — | $2 | Trade → |
| Over 172.5 points scored | 31% | 25¢ | 31¢ | — | $2 | Trade → |
| Over 166.5 points scored | 0% | 37¢ | 43¢ | — | $0 | Trade → |
| Over 148.5 points scored | 0% | 74¢ | 82¢ | — | $0 | Trade → |
| Over 169.5 points scored | 0% | 31¢ | 38¢ | — | $0 | Trade → |
| Over 151.5 points scored | 0% | 69¢ | 77¢ | — | $0 | Trade → |
| Over 178.5 points scored | 0% | 13¢ | 22¢ | — | $0 | Trade → |
This market asks traders to predict the combined final score (total points) for the Providence at Butler basketball game; totals markets matter because they reflect expectations about pace, offense, and defense rather than which team wins.
Providence and Butler are NCAA Division I programs whose styles and rosters change year to year; past meetings provide context but current-season form, coaching changes, and roster availability typically drive expectations. The market on KALSHI offers 11 discrete total-score outcomes and is designated as closing TBD, so the platform will publish the definitive close time before trading ends.
Market prices indicate the collective view of which total-score bracket is most likely; interpret shifts in prices as the market incorporating new information such as injuries, lineup news, or late-breaking team trends.
The event page currently lists the market close as TBD; KALSHI will set and display the final close time before trading ends, and markets of this type typically close before the game begins, so check the contract details for the exact cutoff.
The market divides possible combined-game totals into 11 distinct point-range outcomes (brackets); each outcome corresponds to a specific total-score interval shown on the event page, so review those labels to see the exact ranges.
Whether overtime is included depends on the contract wording for this specific event; read the event rules and payout terms on the platform to confirm if overtime points count toward the final total.
Late availability news can materially alter the expected total—losing a leading scorer generally lowers expected combined points, while losing a primary defender can raise it—so monitor official injury reports and lineup releases and expect market prices to move as that information is digested.
Head-to-head history is useful context but is typically less informative than current-season metrics, recent form, matchup-specific tempo, and roster availability; prioritize recent and matchup-relevant data while using historical meetings as a supplemental data point.