| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 158.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 143.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 155.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 152.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 137.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 134.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 140.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 149.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 161.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 164.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 146.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how many total points will be scored in the New Mexico at San Diego State game by offering discrete total-point outcomes; it matters because totals markets distill expectations about tempo and scoring into tradeable options.
New Mexico and San Diego State are conference opponents whose styles and roster composition shape scoring expectations for their meetings. Historically, San Diego State has been associated with defensive emphasis while New Mexico’s scoring has varied by season and personnel, so head-to-head context and current rosters both matter for projecting the total.
Market odds reflect the aggregate view of traders about which total-point outcome is most likely given available information (injuries, tempo, matchups). Use the odds as a real-time signal of market sentiment rather than a definitive forecast.
The close time is listed as TBD—on many trading platforms total markets close at or shortly before the scheduled tip-off, but you should monitor the KALSHI event page for the official closing time and any changes.
The 11 outcomes correspond to discrete total-point buckets or specific total ranges defined by the market; the platform’s outcome labels will show the exact point ranges or totals for each option.
Settlement rules vary by market—some totals count regulation only while others include overtime—so check the event’s rules on KALSHI to confirm whether overtime is included for this specific market.
Monitor the availability and recent usage of each team’s primary ball-handler and leading scorers, three-point shooting form, interior matchup (rebounds and rim protection), and bench scoring depth, since those elements most directly affect combined scoring.
Use head-to-head and season trends as context but adjust for roster turnover, injuries, venue, and small-sample variability—prior low- or high-scoring meetings provide clues but may not fully predict the upcoming game without accounting for current-season factors.