| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 117.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 119.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 122.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 125.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 128.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 131.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 134.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 137.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 140.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 143.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 146.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 149.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 152.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 155.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 158.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 161.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 164.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 167.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 170.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 173.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 176.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 179.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 182.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 185.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 188.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 192.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 195.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how many total points will be scored in the Iowa at Nebraska game — a college football matchup where bettors trade on which scoring-range outcome will occur. It matters because totals markets let traders express views on pace, defense, and weather without picking a winner.
Iowa and Nebraska are Big Ten programs with distinct styles: Iowa traditionally emphasizes conservative offense and strong defense, while Nebraska has varied between run-heavy and more balanced attacks depending on coaching. Historical meetings, recent seasons' scoring trends, and conference play tempo provide useful context when assessing expected scoring for this specific game.
Prediction market prices on this market reflect the collective view of which total-points range is most likely; when making decisions, treat prices as real-time consensus information that can change as new news (injuries, weather, depth-chart updates) arrives.
The market close time is listed as TBD on the page; typically trading ends shortly before kickoff per platform rules. Check the KALSHI market page or official notices for the final trading halt time and any last-minute schedule updates.
Each outcome corresponds to a specific total-points range (a bucketed scoring interval) for the game; the market pays out the outcome that contains the actual combined score. Consult the market’s outcome labels on KALSHI to see the exact numeric ranges for each bucket.
Zero volume indicates low or no liquidity so far, which can mean wider spreads and greater price sensitivity to individual trades; consider using conservative order sizes, limit orders, and confirm that the market is active before relying on displayed prices.
Monitor official injury reports (especially QB and key offensive/defensive starters), the announced starting lineups, weather forecasts for Lincoln, and late coaching comments about game plan or special teams — all can cause meaningful shifts in expected total scoring.
Historical matchups and each team’s recent season averages provide a baseline expectation for scoring, but prioritize very recent trends (this season’s offense/defense performance, tempo, and turnover rates) because rosters and coaching strategies change over time.