| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 158.5 points scored | 62% | 56¢ | 60¢ | — | $13K | Trade → |
| Over 164.5 points scored | 48% | 42¢ | 48¢ | — | $1K | Trade → |
| Over 161.5 points scored | 48% | 48¢ | 54¢ | — | $319 | Trade → |
| Over 167.5 points scored | 41% | 35¢ | 41¢ | — | $11 | Trade → |
| Over 155.5 points scored | 0% | 61¢ | 68¢ | — | $0 | Trade → |
| Over 146.5 points scored | 0% | 77¢ | 83¢ | — | $0 | Trade → |
| Over 179.5 points scored | 0% | 12¢ | 18¢ | — | $0 | Trade → |
| Over 152.5 points scored | 0% | 67¢ | 72¢ | — | $0 | Trade → |
| Over 173.5 points scored | 0% | 22¢ | 29¢ | — | $0 | Trade → |
| Over 176.5 points scored | 0% | 16¢ | 23¢ | — | $0 | Trade → |
| Over 170.5 points scored | 0% | 28¢ | 34¢ | — | $0 | Trade → |
| Over 149.5 points scored | 0% | 72¢ | 79¢ | — | $0 | Trade → |
This prediction market asks how many total points will be scored in the Marquette at Providence basketball game across listed thresholds; it matters because market prices aggregate public expectations about scoring and game flow. Participants use it to express or test views on offense, defense, and tempo for this specific matchup.
Marquette and Providence are conference opponents in the Big East with recent seasons characterized by differing offensive tempos and defensive strengths; historical head-to-head results and current-season form influence expected scoring. Factors such as coaching style, roster availability, and recent schedule shape how each program approaches this game, and those influences feed into market pricing. Because the market lists multiple total-point outcomes, traders can express granular views about scoring ranges rather than a single binary line.
Market prices reflect the collective expectation that the combined score will clear each listed threshold; movement in prices signals how new information (injuries, lineup changes, game-time tempo indicators) shifts that expectation. Interpret prices as a dynamic summary of market sentiment about the game’s likely scoring outcome rather than a fixed prediction.
The market's official close time is listed as TBD; KALSHI resolves based on the market's stated close and uses the official game final score as recorded by the governing body. Watch the market page for updates to the close time and any platform notices about resolution rules.
Total Points equals the combined official points scored by both teams according to the game’s official box score; most platforms, including KALSHI, include points scored in overtime when resolving totals unless the market states otherwise—check the market rules for this listing to confirm.
Late injuries typically shift expectations: loss of a primary scorer or playmaker can lower expected totals, while absence of a defensive specialist can raise them; markets usually react quickly as news breaks, so traders monitor official injury reports and credible beat reporters for updates.
Home-court can influence pace and shooting efficiency—teams often perform better offensively at home and fatigue/travel can reduce scoring on the road—so Marquette playing at Providence is a factor markets price in alongside matchup specifics and travel/rest.
Use recent head-to-head matchups to identify recurring matchup advantages (e.g., one team consistently forcing turnovers), but prioritize current-season metrics like recent points per game, pace, and defensive efficiency since roster changes and coaching adjustments can make older meetings less predictive.