TOTAL VOLUME:
$154.4b
24H VOL:
$245,801,863
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,902,097,102
417,059
Markets across
40,178
events
MATCHED EVENTS:
4,415
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 24, 10:09 PM EST
Kalshi
This set of markets tracks the total points scored by both teams in an upcoming college football game. Each market corresponds to a different threshold of points, allowing participants to speculate on whether the combined score will exceed various benchmarks.
All markets resolve based on the total points scored by both San Diego State and Colorado State in their college football game scheduled for October 24, 2026. For each market, if the combined score exceeds the specified threshold (e.g., Over 39.5 points, Over 42.5 points, etc.), 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 markets remain open and resolve according to the final official result. If the game does not 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 markets and sportsbooks often arrive at similar probabilities, but they can diverge based on differing information or biases. Sportsbooks set lines to balance action and incorporate a profit margin, while this market reflects the collective wisdom of traders. If a significant difference exists, it may indicate that prediction market participants believe the sportsbook has mispriced the event. It's common to see discrepancies, especially before a lot of trading occurs, as the market develops its own view on the likely outcome.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point totals. The price of each contract reflects the market’s assessment of the probability of that specific total occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate, the prices adjust to reflect the evolving consensus. Traders are incentivized to provide accurate predictions, as profitable trades are rewarded, and inaccurate ones result in losses. This dynamic pricing mechanism aims to create a highly efficient and informative market.
This market resolves around Oct 25, 2026, with the outcome confirmed once the final point total of the San Diego St. vs Colorado St. game is verifiable from credible public reporting. The resolution will be based on the official statistics released by the governing body of college football. Traders will be able to see the final result and whether their contracts settled in their favor. The platform will then distribute payouts based on the final outcome and the prices at which contracts were traded.
Several factors could influence the San Diego St. vs Colorado St. points total market. Any news regarding key player injuries on either team would likely cause significant movement. Changes in weather forecasts, particularly if they suggest adverse conditions impacting scoring, could also shift the market. Late-breaking news about coaching strategies or team morale could also play a role. As the game approaches, increased media attention and public discussion may also contribute to price fluctuations in this market.