| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 123.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 126.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 129.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 132.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 135.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 138.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 141.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 144.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 147.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 150.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 153.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how many total points will be scored in the Iowa at Illinois game and offers multiple outcome buckets traders can back. It matters because total-points markets capture expectations about pace, offense/defense performance, and game conditions.
Iowa and Illinois are conference opponents whose matchups are shaped by recent roster changes, coaching styles and seasonal form; those factors influence scoring profiles from game to game. Historical results provide context but can be outweighed by current injuries, strategic adjustments and situational factors like venue and weather (for outdoor sports).
Market prices on each outcome reflect collective expectations about the game's total points and will move as new information arrives; a traded outcome pays only if the final combined score falls into that outcome’s defined range.
The page lists the closing time as TBD; markets of this type typically lock before the game’s scheduled start so that only pregame information influences prices. Check the market page for the exact lock time as it is posted.
Those 11 outcomes correspond to different total-point ranges or specific total thresholds defined in the contract terms; only the outcome whose range contains the actual final combined score will settle as the winner. Review the contract details on the market page to see the exact ranges and settlement rules.
Prioritize updates affecting a team’s primary scorer or quarterback and any late absences that reduce offensive efficiency or depth. Also consider how backups historically impact pace and scoring; pregame injury reports and in-game news will materially change expectations.
Head-to-head history offers useful context about stylistic matchups and coaching tendencies, but its predictive value is limited if rosters, injuries or playing conditions have changed since those games. Use recent season trends and current-team metrics alongside head-to-head data.
It indicates that, as of the reporting snapshot, no volume has been reported on that market yet; low or zero volume can mean wider bid/ask spreads and greater sensitivity to individual trades, so watch liquidity and price movement as the game approaches.