| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 163.5 points scored | 44% | 37¢ | 43¢ | — | $3 | Trade → |
| Over 160.5 points scored | 52% | 45¢ | 48¢ | — | $2 | Trade → |
| Over 157.5 points scored | 53% | 53¢ | 56¢ | — | $1 | Trade → |
| Over 148.5 points scored | 0% | 70¢ | 76¢ | — | $0 | Trade → |
| Over 169.5 points scored | 0% | 24¢ | 30¢ | — | $0 | Trade → |
| Over 145.5 points scored | 0% | 75¢ | 82¢ | — | $0 | Trade → |
| Over 175.5 points scored | 0% | 14¢ | 21¢ | — | $0 | Trade → |
| Over 166.5 points scored | 0% | 31¢ | 38¢ | — | $0 | Trade → |
| Over 172.5 points scored | 0% | 19¢ | 26¢ | — | $0 | Trade → |
| Over 154.5 points scored | 0% | 57¢ | 64¢ | — | $0 | Trade → |
| Over 151.5 points scored | 0% | 64¢ | 70¢ | — | $0 | Trade → |
This market asks how many total points will be scored in the Ohio at Kent St. game; it matters because it aggregates trader expectations about the combined scoring outcome and responds to news that affects game tempo and scoring potential.
Ohio University and Kent State University are conference opponents with histories of matchups that can produce a wide range of scores depending on season context and personnel. Scoring outcomes are shaped by each team’s current offensive and defensive form, recent roster changes, and whether the game is played indoors or outdoors.
Prices in a total-points market reflect the consensus view about likely combined scoring ranges; price movements signal how new information (injuries, weather, lineup announcements, etc.) changes market expectations rather than fixed predictions.
It refers to the combined final score of both teams; market outcomes divide that combined score into predefined ranges or thresholds that traders buy or sell against.
The event listing shows the close as TBD; typically these markets close at or shortly before kickoff, and the platform will post the official close time — check the market page for the final cutoff.
Absences of starting quarterbacks, top scorers (lead receivers or running backs), or a major defensive playmaker will have the largest impact on scoring; monitor official injury reports and lineup announcements for this game.
Look at several recent head-to-head games plus each team’s season scoring averages and pace metrics; patterns in those data (e.g., consistently high- or low-scoring matchups) provide context but must be adjusted for current rosters and conditions.
Late injury reports, official starting lineup releases, weather updates for the venue, coaching statements about game plan, and heavy trades from informed participants are the primary catalysts for fast price movement.