TOTAL VOLUME:
$134b
24H VOL:
$87,176,691
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,391,958,194
394,660
Markets across
30,119
events
MATCHED EVENTS:
2,626
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 20, 2:17 AM EST
Kalshi
This event tracks various scoring thresholds for both teams in an upcoming college football game, allowing participants to speculate on whether specific point totals will be exceeded by either team during the match.
The event consists of multiple markets, each evaluating whether Oregon State or Montana achieves a specified point threshold in their college football game scheduled for September 19, 2026. Each market has a unique threshold, ranging from modest to high point totals for each team. All markets share consistent secondary rules: if the game is postponed but starts within 48 hours of the original time, trading remains open and resolves based on the final official result. If the game does not start within 48 hours of the scheduled time, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific outcome thresholds.
Typically, prediction market odds reflect a different set of information and incentives than those found at sportsbooks. Sportsbooks often incorporate a 'vig' or commission into their odds, while Kalshi allows traders to directly express their beliefs about the likelihood of different outcomes. This can lead to differences in implied probabilities, especially as new information emerges. While sportsbooks may initially set odds based on statistical models and expert opinions, this market aggregates the wisdom of the crowd, potentially offering a more accurate forecast as the event approaches. It’s common to see divergences between the two, particularly for events with high uncertainty.
On Kalshi, this market is priced through a continuous order book, where traders buy and sell contracts representing different possible team total outcomes. The price of each contract reflects the market's current assessment of its probability. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to set prices accurately, as they profit from correctly predicting the outcome. As more traders participate, the prices converge towards a collective estimate of the true probabilities. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust its predictions accordingly, making it a valuable tool for forecasting the final team totals.
This market resolves around Sep 20, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final team totals for both Montana and Oregon State will be sourced from official game statistics. The market will settle based on whether the actual team totals fall above or below the contract values traded on Kalshi. It’s important to note that the resolution process relies on publicly available and independently verified data to ensure a fair and accurate outcome for all participants in this market.
Several factors could influence the Montana vs Oregon State team totals market. Any news regarding key player injuries, changes in coaching strategies, or significant weather forecasts could shift trader sentiment. Unexpected performance in preceding games or updated statistical analysis could also play a role. Furthermore, large volume trades on Kalshi themselves can create momentum and influence price movements. Monitoring these signals and staying informed about the teams involved will be crucial for understanding potential shifts in this market before it resolves.