TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 19, 10:54 PM EST
Kalshi
This set of markets tracks the point differential in a college football game between Colorado and Northwestern. Each market corresponds to a specific margin of victory, allowing participants to bet on whether the winning team will exceed that margin.
All markets resolve based on the official final point differential from the Colorado vs Northwestern college football game scheduled for September 19, 2026. If Northwestern wins by the exact margin specified in a market's title, that market resolves as No; any greater margin resolves as Yes. For markets where Colorado is the designated winner, the same logic applies inversely. Should the game be postponed but commence within 48 hours of its original start time, all markets remain active and resolve according to the updated result. If the game fails to start within this 48-hour window, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific outcome thresholds.
Generally, prediction market odds tend to reflect the wisdom of the crowd, often proving more accurate than initial sportsbook lines. Sportsbooks set their odds to maximize profit, incorporating a margin for themselves, while this market allows participants to directly express their beliefs about the outcome. Discrepancies can arise due to differing information or biases, but as more information becomes available and more traders participate, the odds in this market often converge towards what many consider the 'true' probability of each outcome. It’s a fascinating comparison to observe.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads. The price of each contract reflects the market's collective assessment of the probability of that spread occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders aim to profit by correctly predicting the final point spread and capitalizing on price differences. The more traders who believe a particular spread is likely, the higher the price of contracts representing that spread will climb, and vice versa. This dynamic pricing mechanism creates a real-time forecast of the game's outcome.
Several factors could influence the price movement of this market. News regarding injuries to key players on either team would likely have a significant impact. Changes in weather forecasts, particularly if they suggest adverse conditions, could also shift the odds. Public sentiment, as reflected in polls or expert analyses, can also play a role, though this market often demonstrates independent thought. Finally, any significant news related to team dynamics or coaching decisions could contribute to price fluctuations before Sep 20, 2026.