| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 152.5 points scored | 46% | 45¢ | 46¢ | — | $1K | Trade → |
| Over 149.5 points scored | 52% | 52¢ | 58¢ | — | $20 | Trade → |
| Over 146.5 points scored | 65% | 65¢ | 66¢ | — | $2 | Trade → |
| Over 137.5 points scored | 75% | 76¢ | 83¢ | — | $2 | Trade → |
| Over 161.5 points scored | 0% | 24¢ | 30¢ | — | $0 | Trade → |
| Over 164.5 points scored | 0% | 18¢ | 25¢ | — | $0 | Trade → |
| Over 158.5 points scored | 0% | 30¢ | 32¢ | — | $0 | Trade → |
| Over 167.5 points scored | 0% | 13¢ | 19¢ | — | $0 | Trade → |
| Over 155.5 points scored | 0% | 37¢ | 43¢ | — | $0 | Trade → |
| Over 140.5 points scored | 0% | 71¢ | 78¢ | — | $0 | Trade → |
| Over 143.5 points scored | 0% | 64¢ | 71¢ | — | $0 | Trade → |
This market lets traders take positions on the total combined points scored in the Wake Forest at Virginia Tech game, providing a market-based view of expected scoring for this specific matchup. It matters because aggregated market prices reflect how bettors incorporate injuries, weather, and matchup dynamics into expectations for game scoring.
Wake Forest and Virginia Tech are ACC opponents with varying offensive and defensive identities from year to year; matchups between them can produce different scoring profiles depending on coaching game plans and available personnel. Home-field factors in Blacksburg, seasonal timing, and recent form typically shape scoring outcomes for this fixture. Historical head-to-head scores can provide context but are only one input alongside current-season trends and roster status.
Market prices in this context represent the collective judgment of participants about which total-points outcome is most likely given available information, and they update as new information (injuries, weather, lineups) arrives. Use prices as a dynamic signal rather than a fixed prediction; check the market for changes leading up to kickoff.
The event page lists the close time as TBD; final close times are set by the exchange and commonly occur at or just before kickoff—check the KALSHI market page for the definitive close time.
The 11 outcomes correspond to discrete total-point ranges or exact totals defined by the market; only the outcome that matches the game’s final combined score per the market’s resolution rules will settle as the winner.
A late injury to a starting quarterback typically shifts expectations for scoring—markets often move to reflect reduced passing efficiency or altered playcalling once replacements are announced—so monitor official injury reports and lineup confirmations.
Weather and venue matter: adverse conditions (wind, heavy rain, cold) in Blacksburg can suppress passing and kicking, lowering expected totals, while clear conditions favor higher scoring; check forecasts close to game time.
Settlement follows KALSHI’s published resolution rules for this event; the market description specifies how ties, exact totals, and boundary cases are handled—review the event’s rules on the platform to see the precise settlement procedure.