TOTAL VOLUME:
$154.6b
24H VOL:
$323,326,361
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,969,435,260
419,363
Markets across
40,411
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 10, 2:43 PM EST
Kalshi
This event tracks various thresholds of points scored by both teams combined during the third quarter of a college football game. Each threshold represents a different level of scoring intensity that participants can bet on, with higher thresholds being more challenging to achieve.
All markets resolve based on the total points scored by both teams during the third quarter of the Texas A&M vs Missouri college football game scheduled for October 10, 2026. Each market corresponds to a specific point threshold, and if the combined score exceeds that threshold, the market resolves to Yes; otherwise, it resolves to No. Only points scored during the third quarter count. If the game is postponed but starts within 48 hours of the original time, the markets remain open and resolve based on the final result. If the game does not start within 48 hours, all markets resolve to a fair price. Kalshi disclaims any affiliation with the NCAA, and all trademarks remain the property of their respective owners.
Prediction market odds often reflect the wisdom of the crowd, potentially differing from sportsbook odds which can be influenced by factors like house biases or initial public perception. Sportsbooks typically set lines to balance betting action and ensure profitability, while this market allows traders to freely express their beliefs about the likely outcome. It’s common to see discrepancies emerge, especially as new information becomes available or as public sentiment shifts. Examining these differences can reveal insights into where the market believes sportsbooks might be mispricing the probability of certain events occurring in the Texas A&M vs Missouri game.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different possible outcomes for the 3rd quarter total. The price of each contract reflects the market's collective probability assessment of that outcome occurring. As more traders participate, the prices adjust to reflect the evolving consensus. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market depth, displayed on the dashboard, shows the volume of contracts available at various price points, indicating the strength of support and resistance for each outcome. This dynamic pricing mechanism allows for a fluid and responsive market.
This market resolves around Oct 10, 2026, with the outcome confirmed once the final score for the 3rd quarter of the Texas A&M vs Missouri game is verifiable from credible public reporting. The resolution will be based on the official game statistics as reported by a recognized sports data provider. Traders will be able to see the final result reflected in their account balances after the market has officially closed and the outcome has been determined. The platform will then distribute payouts based on the final score and the contracts held by each trader.
Several signals could influence this market before Oct 10, 2026. Key player injuries or unexpected starting lineup changes for either Texas A&M or Missouri would likely cause significant movement. Real-time game performance during the first and second quarters could also shift expectations. News regarding weather conditions, which might impact the style of play, could also be a factor. Furthermore, any major announcements related to team strategy or coaching decisions could influence trader sentiment and lead to price fluctuations in this market. Any late-breaking news will likely be quickly incorporated into the market price.