| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Wright St. wins by over 14.5 Points | 48% | 43¢ | 45¢ | — | $219 | Trade → |
| Wright St. wins by over 20.5 Points | 0% | 24¢ | 29¢ | — | $0 | Trade → |
| Wright St. wins by over 2.5 Points | 0% | 83¢ | 89¢ | — | $0 | Trade → |
| Wright St. wins by over 17.5 Points | 0% | 33¢ | 38¢ | — | $0 | Trade → |
| Wright St. wins by over 11.5 Points | 0% | 55¢ | 59¢ | — | $0 | Trade → |
| Cleveland St. wins by over 1.5 Points | 0% | 5¢ | 13¢ | — | $0 | Trade → |
| Wright St. wins by over 29.5 Points | 0% | 6¢ | 12¢ | — | $0 | Trade → |
| Wright St. wins by over 5.5 Points | 0% | 75¢ | 82¢ | — | $0 | Trade → |
| Wright St. wins by over 8.5 Points | 0% | 66¢ | 72¢ | — | $0 | Trade → |
| Wright St. wins by over 23.5 Points | 0% | 16¢ | 23¢ | — | $0 | Trade → |
| Wright St. wins by over 26.5 Points | 0% | 11¢ | 17¢ | — | $0 | Trade → |
This market asks which margin-of-victory range (the spread) will describe the final score of Cleveland St. at Wright St. It matters because spread outcomes capture market expectations about how competitive the game will be and which side will cover different margin ranges.
Cleveland State and Wright State are mid-major college programs that have met multiple times in conference play; matchups between them are often influenced by tempo, three-point shooting, and interior matchups. Historical trends (home-court performance, recent form, coaching styles) provide useful context, but individual-game factors like injuries and lineup changes typically drive final margins.
Market prices for each spread bucket reflect the aggregate view of traders about which margin range the final score will fall into; price shifts indicate how new information (injuries, starting lineups, tip-off updates) is changing those views. Because this market uses multiple discrete outcomes, a traded price shows how much the market favors a specific margin range relative to the others.
Each outcome corresponds to a specific margin-of-victory interval (for example, various ranges of winning margins for either team). Multiple discrete outcomes let traders bet on different margin buckets rather than just which team wins, creating more granular views of expected final scores.
Most spread markets settle on the official final score after any overtime periods, so overtime points typically count toward the margin. Confirm the platform's official resolution rules for any exceptions, but expect the final post-overtime score to determine the winning spread bucket.
Home teams often receive a modest advantage due to familiar court, local fans, and reduced travel fatigue; that can shift the market toward narrower margins favoring Wright St. Traders will incorporate home-court tendencies, recent home/away splits, and travel schedules when pricing spread buckets.
Watch each team's leading scorers, primary ball-handler/point guard (who controls tempo and possessions), and the interior rebounder/shot-blocker (who influences second-chance points). Late scratches to starters or significant changes in minutes for a bench scorer can materially change which spread buckets look attractive.
Key movers include injury reports and official starting lineups, announced rotations or rest decisions, significant betting flow to one side, and any last-minute travel or availability news. Because the market closes TBD, prices can move up to whatever the platform's pre-game cutoff is once new information appears.