| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 168.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 156.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 150.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 147.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 153.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 159.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 144.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 165.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 162.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 141.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 138.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks traders to pick which total combined points range the Ohio St. at Michigan game will fall into. Totals markets matter because they summarize expectations about game tempo, scoring efficiency, and game script in a single, tradeable outcome.
Ohio State vs. Michigan is one of college football's premier rivalry games; the matchup often has high stakes that influence playcalling and risk tolerance. Historical games have produced a wide range of totals depending on coaching approaches, roster matchups, and situational factors such as conference implications and ranking.
Market prices aggregate participant views about which scoring-range outcome is most likely; movements reflect new information (injuries, weather, lineup news, betting flow) being incorporated. Compare prices across outcomes to see the market consensus about whether the game will be relatively high- or low-scoring.
The market's close time is listed as TBD; check the KALSHI market page for updates. Many totals markets close at or shortly before kickoff, but confirm the specific close rule for this event on the platform.
Each outcome corresponds to a specific range (bin) of combined points scored by both teams. After the game ends, the outcome whose range contains the official final combined score will be declared the winning outcome.
Overtime typically counts because settlement uses the official final score, which includes overtime; however, you should verify the market's settlement rules on KALSHI for this specific event.
Settlement generally relies on the official box score from the game authority (e.g., NCAA/Big Ten or the home team's official statistics). The market page or rulebook will specify the exact data source used for settlement.
Pre-game injury reports, confirmed starting lineups, weather updates, and late-breaking coaching news can move prices before kickoff. During the game, turnovers, unexpected scoring drives, special teams scores, and major halftime adjustments are common drivers of rapid price changes.