| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 142.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 172.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 169.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 166.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 154.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 160.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 139.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 151.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 163.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 148.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 145.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 157.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which total-points range the college basketball game between Kennesaw State (visiting) and Gonzaga (home) will settle into. It matters because the market aggregates real-time information about tempo, shooting, injuries, and other game-day factors that drive scoring outcomes.
Gonzaga is traditionally known for an up-tempo, efficient offense and strong home-court environment; Kennesaw State is a smaller-conference Division I program whose style and personnel can vary year to year. Matchup dynamics — pace, three-point usage, defensive strengths, and recent form — are the primary drivers of how high or low the combined score is likely to be. Venue and travel also routinely affect visiting teams' performance in non-conference road games.
Odds or prices in this market reflect the collective expectation of which total-points bucket the market thinks the final score will fall into. Use them as a snapshot of how participants are pricing the likely scoring range given available information and incoming news.
The market's official close time is listed on the KALSHI event page and is currently TBD; markets typically close at a specific pregame time or at tip-off per the platform's schedule, so check the market details for the posted settlement timestamp.
Each of the 11 discrete outcomes corresponds to a specific total-points range (a bucket) for the final combined score; consult the contract description on the market page to see the exact numerical boundaries of each bucket.
Key items are injury reports and starter/rotation announcements, late-season form and recent offensive/defensive trends, announced absences or new minutes for high-usage players, and any matchup-specific scouting notes (e.g., propensity to push tempo or defend the three-point line).
Assess the role of the scratched player: losing a primary scorer or primary ball-handler often reduces projected scoring and pace, while a bench-level scratch has smaller effect; markets typically react quickly, so monitor official team reports and the market prices for updates.
Settlement depends on the market contract terms: some totals specify 'regulation only' while others include overtime. Always read the event settlement rules on the KALSHI page to confirm whether overtime points are counted for this specific market.