TOTAL VOLUME:
$134.1b
24H VOL:
$141,541,542
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,440,096,988
406,065
Markets across
30,522
events
MATCHED EVENTS:
2,692
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 20, 1:25 AM EST
Kalshi
This set of markets tracks how many points each team will score in an upcoming college football game. Each market has a different threshold for the number of points a team must exceed for the bet to pay out, allowing bettors to assess varying levels of scoring performance.
All markets resolve based on the official final point totals of Boise State and South Dakota in their college football game scheduled for September 19, 2026. For each market, if the specified team scores more than the stated point threshold (e.g., Boise State over 16.5 points), the market resolves to Yes; otherwise, it resolves to No. If the game is postponed but commences within 48 hours of the original start time, the result is determined by the final score of the rescheduled game. If the game does not start within 48 hours of its scheduled time, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific point thresholds set in individual markets.
Generally, prediction market odds tend to reflect the wisdom of the crowd, often converging with sportsbook odds as the event approaches. However, differences can emerge due to varying information access and incentives. Sportsbooks incorporate a profit margin into their odds, while this market is driven purely by trader predictions. It’s common to see this market initially diverge from sportsbook lines, especially if there's strong sentiment or unique information influencing traders. Over time, the odds on Kalshi often become quite competitive with those offered by traditional sportsbooks.
On Kalshi, this market is priced through a continuous double auction. Traders buy and sell contracts representing different team total point ranges. The price of each contract reflects the probability of that outcome occurring, as determined by supply and demand. As more traders believe a particular team will score within a certain range, the price of those contracts increases. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust probabilities in real time, offering a forward-looking assessment of potential game outcomes.
This market resolves around Sep 20, 2026, with the outcome confirmed once the final team totals are verifiable from credible public reporting. The official scores from the South Dakota vs Boise State game will be used to determine which contracts payout. The resolution will be based on the total points scored by each team, as recorded by official game statistics. Traders holding contracts corresponding to the correct team total ranges will receive a payout, while those holding losing contracts will forfeit their investment.
Several factors could influence trading activity and shift the odds in this market. Any news regarding key player injuries, changes in coaching strategies, or even weather forecasts could impact trader sentiment. Unexpected announcements about team lineups or player availability would likely cause significant price movement. Furthermore, as the game day approaches, any shifts in public perception or expert analysis regarding team strengths and weaknesses could also drive changes in this market. Monitoring these signals can provide valuable insights into potential trading opportunities.