| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| George Washington wins by over 5.5 Points | 52% | 51¢ | 52¢ | — | $29 | Trade → |
| George Washington wins by over 22.5 Points | 0% | 4¢ | 9¢ | — | $0 | Trade → |
| Fordham wins by over 7.5 Points | 0% | 11¢ | 18¢ | — | $0 | Trade → |
| George Washington wins by over 13.5 Points | 0% | 20¢ | 26¢ | — | $0 | Trade → |
| Fordham wins by over 4.5 Points | 0% | 17¢ | 24¢ | — | $0 | Trade → |
| George Washington wins by over 19.5 Points | 0% | 4¢ | 12¢ | — | $0 | Trade → |
| Fordham wins by over 5.5 Points | 0% | 15¢ | 22¢ | — | $0 | Trade → |
| George Washington wins by over 20.5 Points | 0% | 3¢ | 10¢ | — | $0 | Trade → |
| George Washington wins by over 4.5 Points | 0% | 53¢ | 57¢ | — | $0 | Trade → |
| George Washington wins by over 14.5 Points | 0% | 16¢ | 23¢ | — | $0 | Trade → |
| George Washington wins by over 10.5 Points | 0% | 29¢ | 36¢ | — | $0 | Trade → |
| George Washington wins by over 1.5 Points | 0% | 61¢ | 68¢ | — | $0 | Trade → |
| Fordham wins by over 1.5 Points | 0% | 26¢ | 33¢ | — | $0 | Trade → |
| Fordham wins by over 2.5 Points | 0% | 24¢ | 31¢ | — | $0 | Trade → |
| Fordham wins by over 11.5 Points | 0% | 4¢ | 12¢ | — | $0 | Trade → |
| George Washington wins by over 17.5 Points | 0% | 9¢ | 15¢ | — | $0 | Trade → |
| George Washington wins by over 7.5 Points | 0% | 41¢ | 45¢ | — | $0 | Trade → |
| George Washington wins by over 11.5 Points | 0% | 26¢ | 33¢ | — | $0 | Trade → |
| George Washington wins by over 16.5 Points | 0% | 11¢ | 17¢ | — | $0 | Trade → |
| George Washington wins by over 2.5 Points | 0% | 58¢ | 64¢ | — | $0 | Trade → |
| Fordham wins by over 10.5 Points | 0% | 6¢ | 13¢ | — | $0 | Trade → |
| Fordham wins by over 8.5 Points | 0% | 9¢ | 16¢ | — | $0 | Trade → |
| George Washington wins by over 8.5 Points | 0% | 38¢ | 41¢ | — | $0 | Trade → |
This market asks how the point spread between George Washington and Fordham will resolve, letting traders express views on the margin of victory rather than just the winner. It matters for participants who want to trade expected scoring margin or hedge exposure tied to this specific game.
George Washington and Fordham are NCAA Division I basketball programs whose matchups are shaped by roster composition, coaching, and tempo; historical results and recent form can influence expected margins. College basketball spreads often move with late-breaking injury, lineup, or travel news, so context immediately before the game is important. The market lists multiple spread outcomes so traders can take fine-grained positions on how large the margin will be.
Prices in this market summarize collective trader beliefs about the likely margin of victory; comparing prices across outcomes shows which ranges the market favors. Because prices move as new information arrives, interpret them as a snapshot of current market sentiment rather than a static forecast.
The 'Spread' outcome refers to the point-differential result of the game; each outcome corresponds to a particular margin or range of margins by which one team wins or loses, so the settled outcome depends on the official final score relative to the listed spread buckets.
This market will settle based on the official final score for the game as posted by the event's governing/statistical authority; check the platform's specific rules for whether settlement uses regulation score only or includes overtime and for the official time of settlement.
Multiple outcomes divide the possible point margins into discrete buckets or exact spread values so traders can take positions on narrow ranges of victory margin rather than just a single line; more outcomes allow finer expression of views.
Monitor starting-lineup announcements, injury and illness reports, late scratches or suspensions, coaching confirmations, and travel or venue issues; college basketball news released on game day often has the largest short-term impact on spread markets.
Low liquidity can make prices more volatile and sensitive to single trades, so quoted prices may reflect sparse information and can move sharply on limited news; interpret low-volume prices cautiously and check for fresh order flow before acting.