| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 135.5 points scored | 43% | 43¢ | 50¢ | — | $228 | Trade → |
| Over 138.5 points scored | 47% | 36¢ | 42¢ | — | $20 | Trade → |
| Over 147.5 points scored | 25% | 16¢ | 24¢ | — | $1 | Trade → |
| Over 126.5 points scored | 0% | 65¢ | 71¢ | — | $0 | Trade → |
| Over 132.5 points scored | 0% | 51¢ | 56¢ | — | $0 | Trade → |
| Over 141.5 points scored | 0% | 29¢ | 35¢ | — | $0 | Trade → |
| Over 150.5 points scored | 0% | 11¢ | 19¢ | — | $0 | Trade → |
| Over 120.5 points scored | 0% | 76¢ | 84¢ | — | $0 | Trade → |
| Over 129.5 points scored | 0% | 58¢ | 64¢ | — | $0 | Trade → |
| Over 123.5 points scored | 0% | 71¢ | 78¢ | — | $0 | Trade → |
| Over 144.5 points scored | 0% | 22¢ | 29¢ | — | $0 | Trade → |
This prediction market asks how many combined points Monmouth and Hofstra will score in their upcoming game by offering discrete total-point outcome brackets; it matters to traders and bettors who want to express a view on the game’s scoring range rather than just a winner.
Monmouth and Hofstra are NCAA programs with different styles of play; season-long scoring trends, recent form, and roster availability shape expectations for any single matchup. Historical meetings between these programs may be limited, so analysts typically rely on current-season offensive and defensive metrics, pace, and situational factors (home/away, rest) to form views.
Market odds on this market indicate the collective view of traders about which total-point bracket is relatively more likely and update as new information arrives. Interpret those odds as market-implied relative likelihoods and as signals about how participants are reacting to injuries, lineup news, and other developments.
The event page currently shows the close time as TBD; on exchange platforms a market like this typically closes at or shortly before the scheduled game tipoff. Check KALSHI or the market's detail page for the publisher’s confirmed close time and any last-minute updates.
The 11 outcomes correspond to discrete total-point brackets that cover different combined scoring ranges for the game. Review the outcome labels on the market page to see the exact point intervals and the payout rules associated with each bracket.
Primary drivers include each team’s pace (possessions per game), offensive efficiency, defensive rebounding and turnover forcing, and whether either team is likely to score in bunches or rely on slow, clock-consuming possessions. Late-game tactics such as intentional fouling or a stall offense also change totals.
Injury reports and late scratches can materially shift expected scoring—losing a primary scorer tends to lower expected totals, while losing a key defender can raise them. Monitor official injury reports, pregame warmups, and market movement close to tipoff, as markets typically react quickly to confirmed availability updates.
Head-to-head results can provide context but are often a small sample and may reflect different rosters or coaching situations. Place greater weight on current-season offensive/defensive metrics, pace, and home/away splits, using head-to-head history as supplementary information.