| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Washington wins by over 5.5 Points | 50% | 47¢ | 50¢ | — | $3K | Trade → |
| Washington wins by over 7.5 Points | 45% | 39¢ | 44¢ | — | $15 | Trade → |
| USC wins by over 1.5 Points | 0% | 29¢ | 34¢ | — | $0 | Trade → |
| Washington wins by over 16.5 Points | 0% | 9¢ | 16¢ | — | $0 | Trade → |
| USC wins by over 2.5 Points | 0% | 26¢ | 31¢ | — | $0 | Trade → |
| Washington wins by over 10.5 Points | 0% | 27¢ | 32¢ | — | $0 | Trade → |
| USC wins by over 5.5 Points | 0% | 15¢ | 23¢ | — | $0 | Trade → |
| Washington wins by over 14.5 Points | 0% | 14¢ | 23¢ | — | $0 | Trade → |
| Washington wins by over 20.5 Points | 0% | 3¢ | 9¢ | — | $0 | Trade → |
| Washington wins by over 17.5 Points | 0% | 6¢ | 14¢ | — | $0 | Trade → |
| Washington wins by over 1.5 Points | 0% | 59¢ | 66¢ | — | $0 | Trade → |
| USC wins by over 4.5 Points | 0% | 18¢ | 25¢ | — | $0 | Trade → |
| USC wins by over 10.5 Points | 0% | 6¢ | 14¢ | — | $0 | Trade → |
| Washington wins by over 2.5 Points | 0% | 56¢ | 61¢ | — | $0 | Trade → |
| USC wins by over 11.5 Points | 0% | 5¢ | 14¢ | — | $0 | Trade → |
| USC wins by over 7.5 Points | 0% | 11¢ | 19¢ | — | $0 | Trade → |
| Washington wins by over 13.5 Points | 0% | 17¢ | 25¢ | — | $0 | Trade → |
| Washington wins by over 19.5 Points | 0% | 3¢ | 10¢ | — | $0 | Trade → |
| Washington wins by over 11.5 Points | 0% | 23¢ | 30¢ | — | $0 | Trade → |
| USC wins by over 8.5 Points | 0% | 10¢ | 18¢ | — | $0 | Trade → |
| Washington wins by over 4.5 Points | 0% | 49¢ | 55¢ | — | $0 | Trade → |
| Washington wins by over 8.5 Points | 0% | 35¢ | 40¢ | — | $0 | Trade → |
This market lets traders buy and sell discrete spread outcomes for the college football game USC at Washington; it matters because spread markets aggregate public and professional views about expected margin of victory.
USC and Washington are two high-profile college football programs with a history of competitive matchups; game-to-game expectations are shaped by recent results, coaching staff continuity, and roster turnover. Year-to-year changes in starters, injuries, and scheduling (including travel and short weeks) can materially change which side is favored and by how much.
Market prices reflect the consensus of traders about which spread outcome is most probable and incorporate new information as it arrives; interpret price moves as the market updating rather than precise forecasts of a single number.
The listed close time for this market is TBD; check the KALSHI interface for updates. Settlement typically uses the official final score after the game (including overtime); if the game is postponed or cancelled, the platform’s published rules govern settlement.
The 22 outcomes correspond to discrete point-spread bins or exact margin outcomes offered by the market—each outcome represents a different margin-of-victory range; view the market page to see the full outcome list and labels.
A late injury to a key starter typically triggers immediate re-pricing as traders incorporate the new information; the magnitude of movement depends on the player’s role, depth behind them, and timing of the announcement relative to game start.
Total volume of $2,882 indicates relatively modest liquidity compared with larger markets, so individual trades can move prices more and bid-ask spreads may be wider; watch for outsized moves and confirm information from reputable game reports before trading.
As the visiting team, USC faces travel and potentially different climate conditions in Washington; rain, wind, and cold can reduce passing efficiency and scoring, favoring lower-margin outcomes, while a loud home crowd and travel fatigue can advantage Washington—check local forecasts and venue details when evaluating the market.